Mobile technology has revolutionized the way we live, work, and interact with the world. With the exponential growth in smartphone adoption, mobile applications have become an integral part of our daily lives, providing us with access to information, services, and entertainment at our fingertips. Thus, the importance of mobile technology lies in its ability to enhance communication, productivity, and convenience on a global scale.
Besides, it is the introduction of mobile applications that has created a significant impact on various industries, including healthcare, finance, education, transportation, and entertainment. From enabling seamless access to critical services to facilitating remote collaboration and promoting digital inclusion, Mobile apps have made way for new business opportunities. According to Grand View Research, “the global mobile application market size was valued at USD 206.85 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 13.8% from 2023 to 2030.” However, the success of mobile technology heavily relies on the reliability and performance of mobile applications. This is where mobile app testing comes into play. Rigorous mobile app testing allows developers to ensure that applications function as intended across various devices, operating systems, and network conditions. Besides, access to advanced approaches like mobile test automation helps identify and fix potential bugs to deter security vulnerabilities, and compatibility issues for a seamless and satisfying user experience. In this blog, we will walk through the various dynamics of mobile app testing while diving through various tools and techniques that simplify testing of native, web, and hybrid apps. Let’s jump in. Testing Native vs. Web vs. Hybrid Apps Testing native, web, and hybrid apps involves different approaches and considerations due to their distinct characteristics. Therefore, it becomes necessary to align with the right approach and strategy in order to ensure maximum output of the testing efforts made. Here’s a breakdown of how to test each type of app: Testing Native Apps 1. Device-Specific Testing: Since native apps are built specifically for a particular operating system (e.g., iOS or Android), it’s crucial to test them on the target devices to ensure compatibility, functionality, and UI/UX consistency. 2. Native Feature Testing: Native apps often leverage platform-specific features and APIs. Testers should thoroughly evaluate these features to ensure they function as intended and adhere to platform guidelines. 3. Performance Testing: Native apps have direct access to device resources, so performance testing is crucial to ensure smooth operation, responsiveness, and efficient memory usage. 4. App Store Compliance: Native apps need to adhere to the respective app store’s guidelines and policies. Testers should verify that the app meets the required standards for submission and does not violate any policies. Testing Web Apps
Breaking Into Mobile App Testing: The Process & Techniques Mobile app testing ensures that applications meet industry standards, comply with data protection regulations, and maintain user trust. Quality testing contributes to enhanced user satisfaction, increased retention rates, and positive reviews, ultimately leading to higher app downloads and revenue generation for businesses. Mobile App Testing Process The mobile app testing process is a crucial step in ensuring the quality and functionality of a mobile application. It typically involves multiple stages, starting with test planning and strategizing, followed by test case development, execution, and bug tracking. Usually, the key areas of focus include user interface testing, functionality testing, performance testing, security testing, and compatibility testing across different devices and operating systems. To gain precision, testers use various testing tools and techniques to simulate real-world scenarios and uncover any bugs or issues. The process concludes with result analysis and reporting to provide valuable feedback for developers, leading to continuous improvement and a seamless user experience. Mobile app testing techniques can be categorized into two main categories: common and advanced techniques. 7 Leading Mobile App Testing Tools There are numerous mobile app testing tools available in the market that can help developers and testers ensure the quality and reliability of their mobile applications. These include some of the most advanced mobile app testing tools as well as those that are highly capable of automation yet specific to testing of mobile apps with dedicated features and technology use. 1. Appium: Appium is an open-source and widely used automation tool for mobile app testing. It supports both Android and iOS platforms and allows testers to write test scripts in multiple programming languages, including Java, Python, and Ruby. 2. Xamarin Test Cloud: Xamarin Test Cloud, now a part of Microsoft Visual Studio App Center, is a cloud-based testing tool that enables testing on real devices. It supports both Android and iOS platforms and offers extensive device coverage for efficient testing. 3. TestComplete: TestComplete is a comprehensive automation testing tool that supports mobile app testing on both Android and iOS platforms. It offers scriptless testing capabilities, making it easy for non-technical testers to create and execute test cases. 4. Firebase Test Lab: Firebase Test Lab is a cloud-based testing platform by Google. It provides a wide range of testing options, including compatibility, performance, and usability testing, on real Android and iOS devices. It integrates well with other Firebase services. 5. Kobiton: Kobiton is a mobile testing platform that provides real-device testing for both Android and iOS apps. It offers features like manual testing, automation testing, and device cloud management, allowing testers to execute tests on a wide range of devices. 6. Perfecto: Perfecto is a cloud-based mobile testing platform that supports automated testing on real devices. It offers a variety of testing options, including functional, performance, and security testing, and integrates with popular test frameworks like Appium and Selenium. 7. TestFairy: TestFairy is a mobile testing platform that provides real-time testing and monitoring of mobile apps. It offers features like crash reporting, user feedback, session recordings, and over-the-air build distribution, making it easier to identify and fix issues. These mobile app testing tools offer a range of features and capabilities to meet the diverse needs of developers and testers. However, choosing the right tool entirely depends on factors such as the platform, testing requirements, budget, and team’s expertise. In case, you are looking for some professional quality assurance services or need expert assistance testing your mobile apps, we at BugRaptors bring you a team of most experienced ISTQB testers who could help you transform your entire mobile testing strategy. Read more: Common Mobile App Testing Techniques Technology is the essence of digital transformation. From business solutions to routine requirements of the general users, software, website, and applications are must to take the notion forward.
However, every new tool that make its way into the market have certain pain areas surrounding the development process. Besides, it is the struggle surrounding the test process that make things complicated. Here test automation dramatically enables developers and testers to improve the product quality while giving a save on time and resources. This is why automation has become an essential component of every development lifecycle and is adopted as a digital practice worldwide. Nevertheless, enterprise test automation is something that cannot produce immediate results and requires an effective strategy to complement smooth releases. Thus, yielding quality through a well-thought plan require breaking the barriers to complete QA automation optimization. However, it is extremely important to understand what could be at stakes when an organization tries to avoid a test automation strategy. Most of the times, companies are found indulged with the thought of aligning complex systems with test automation to meet the varying process demands and dynamic delivery schedules. However, breaking the barrier to test automation require strategies that could end test maintenance while enabling users of shifting to API testing whenever feasible with the selection of right tools. Also, it must be understood that there is no particular approach to attain a perfect test automation plan as it may vary depending on several surrounding factors. So, what are the possible outcomes that companies may encounter due to a missing or weak automation strategy? Let’s find out. No Business Value: Even if the primary idea of automation appears very reasonable, the only thing that could hamper the implementation and output is the missing business value. It is necessary that any step to automate a process should only be decided based on the potential ROI. Missing Vision: To have a vision for an automation strategy, it is necessary to have a plan in place. It can be any application or a dedicated enterprise test automation framework that could help enhance the entire automation process while complementing other operations. Efficiency Loss: When you are not having a right test automation strategy, there is a constant chance of choosing a wrong test automation technology. This simply creates technology efficiency loss and making an organization accommodate a solution which is unfit for the entire purpose. Missing The Testing Squeeze: Since most QA and development companies are working on Agile practices, it becomes necessary to work on test squeeze. And when test automation in enterprise is in process, it is crucial to have an idea of which strategies must be restricted? What are the test priorities? And what can bring most business value. Know more: Step by step guide for test automation strategy #
Digital transformation has become vital for enterprises to stay alive and robust in a competitive and fierce market landscape. With the outbreak of the COVID-19 pandemic, business leaders are now considering the acceleration in shifting to digital business as the most critical priority in the coming years. Besides, advanced business organizations are using their digital capabilities to help their business be adaptable, creative, and resilient. At BugRaptors, we have been constantly involved in delivering Quality Assurance Solutions to diverse verticals fostering their digital goals. And therefore, it becomes much more important for us to upgrade our digital efforts in order to redefine the virtual quality landscape. Be it software, applications, or websites, driving the best needs us to pair digital assurance and digital engineering. In this blog, we will be aiming to shed more light on the concept of digital transformation with respect to digital assurance and digital engineering. The blog will highlight digital assurance and digital engineering in detail while underlining the fact how they contribute to the digital transformation. Let’s begin! The Importance Of Digital Transformation Today, most businesses work from the omnichannel interface such as social media, analytics and the cloud. In order to process this in a good way, companies need a robust IT infrastructure, better customer experience, increased operational efficiency, and enhanced business capabilities. The change can be achieved by leveraging the measures for digital transformation. Digital transformation helps the organizations in: Automating and standardizing workflows # Being flexible and responsive to the changes # Turning the processes into agile # Enhancing and delivering a more reliable customer experience # Increase in return of investment that is ROI # Increasing and sustaining profitability Today the level of competition has seen a commensurate increase in all forms. This is why quality and customer experience are becoming centre stage where companies need to focus. For companies to stay afloat in the competitive market, they did need to deliver products of high quality. Along with that, they need to adapt to the latest trends and add new features in functionalities to the existing products. This ultimately means upgrading their workflows and making them quality complaints through digital Assurance and digital engineering. Quality assurance and testing practices must be able to adapt to digital business so as to accelerate the development rather than slowing it. The quality assurance teams need to focus on customer needs. Also, the QA team needs to speak the language of the customer so as to get involved with new technology projects at the ideational stage. Later they should line up and manage test data before it is required and ultimately foster within the developers to do much of the testing themselves. How Is Digital Engineering Vital To Digital Transformation? We have already discussed that enterprises all over are striving so hard to make an exceptional and exponential jump in performance by leveraging digital transformation. They want to work on the performance in terms of business revenue profitability, operations productivity, new launches, quality user satisfaction, and much more. But more often these days, enterprises are encountering bottlenecks in the transformation programs at a huge rate. However, digital engineering is exploring how it can help enterprises in their exponential digital transformation journey. Therefore, organizations today should: - Believe in making a strong foundation of digital engineering for their exponential - success in the ways of digital transformation - Be well aware of auditing and identifying areas where digital engineering can remove - bottlenecks and add more value - Work with engineering partners who have very deep expertise in the field - Constantly iterate with new insights and technology-related changes with time. How Digital Engineering Can Improve Digital Transformation? For the scalability of digital transformation measures, digital engineering expertise at scale is very crucial. It can be ignored for a small project, but it is really essential for enterprise digital transformation at a huge scale:
DevOps over the years has emerged as one of the most significant IT practices. It has not only helped improve the business models but has even helped developers to take command of product development and operations. Sticking to the definition, DevOps is the combination of best practices and tools that allows rapid software development and deliveries. However, the methodologies and processes involved in DevOps have unraveled new horizons for business enthusiasts with enhanced client service and overall competitive benefits. More importantly, DevOps has helped organizations to eradicate all the barriers between development and operation teams allowing enhanced collaborations. Also, the DevOps culture has even helped to upgrade the development lifecycle. It means the DevOps and Agile Testing Services providers can now foster testing right when the development process is started and do not need to wait until the development and deployment phase ends. Since Governance has always stayed to be an important concern for the IT authorities and organizations internationally, we will aim at highlighting the security factor for all the components of the DevOps model. Before we dig into the detail of security planning and governance in DevOps model, we believe it is necessary to underline the difference between DevSecOps & DevOps. Let’s begin! DevOps & DevSecOps: The Difference DevOps security or DevSecOps is all about securing the DevOps development lifecycle through the right implementation of processes, tools, and technologies. DevSecOps is a dedicated approach towards security that allows integration of security from inception to deployment. Unlike traditional software development, DevSecOps allows security fixes to jump into the development lifecycle and does not require waiting until the product completes its design and testing stages, which is better than DevOps. In the case of DevOps, the security testing is done a little late and therefore was unable to align with the rapidity requirement on modern systems. And therefore, DevSecOps was introduced to compensate for the delays and ensure security in the IT systems. DevSecOps involve security engineers working closely with DevOps teams to identify and fill the security gaps. It means DevSecOps allows security testing at every iteration allowing quick mitigation of the security vulnerabilities and threats. Nevertheless, embosoming the DevOps principles is necessary for keeping pace with the technology revolution. And therefore, it becomes even more important to drive the governance model into the DevOps culture using Automation. Let us now quickly jump on understanding the five most significant components of security structure for the DevOps model with an automation-based governance model: Automation In Security Compliance Architecture When it comes to Automation, it is considered as both a threat and benefit to security. Often considered as the last step of the governance model, Automation of security processes in Infrastructure as a code and Security as a code architecture offers greater bandwidth for quality and risk-free operations. Therefore, adding automation to design of security architecture becomes essential to cut off the vulnerabilities. Especially, when testers and developers often have to deal with the stress of hacking attempts while working on a cloud platform, an automated security architecture could turn out to be an effective decision around the risk profile of an organization. Besides, every organization, say banking, retail, or manufacturing have their own approach towards automation, cloud, and DevOps, it becomes necessary to customize the architecture based on the varying risk profiles. Also, the quality assurance services must ensure that the compliance sits well on the defined architecture. Such an approach could help reflect on the reference architecture without compromising on the security benchmarks and services catalog. Automation Of Data Insights Once you have a well-defined strategy to work on DevOps with security architecture, the next big step that you need to take on the governance model is to develop insights on the cloud resources in use. This usually needs reassessing the costs involved with an on-prem data center as the cloud makes it more convenient for you to manage bills and budget. Cloud does not need to keep a check on hardware assets or factors like electricity consumption. Rather it allows easy resource sharing which makes it even more crucial to have an automated governance model that can help measure and control resources. One way to achieve that proficiency is to have a dashboard and reporting tool that can measure the consumption metrics of the cloud model. The other way to meet such goals is to work on a cloud management platform that can provide insights on consumption, trends, and optimization scenarios for data usage. Continuous System Services Monitoring As DevOps requires rapid identification of risks and compliance-related flaws, it is necessary that developers and DevOps & Agile testing services must track the system health for all the activities. Though most cloud providers have an in-built process to monitor the system capabilities, integrating third-party tools like Alert logic or Splunk could offer great help in monitoring the logged data. Besides, it is equally important to have a check on the system at the application level to identify any performance or security issues in advance. Therefore, it is necessary to accommodate a governance model that contains automation tools that can standardize resolutions for system-specific or process-specific issues. Automated Provisioning One of the best things about bringing automation to the provisioning process is speedy. The early adopters of cloud provisioning automation or popularly known as fast movers are found to be taking half the time for the provisioning of virtual systems as compared to the followers or late-adopters. However, it is necessary that the governance model for your DevOps strategy should incorporate ready-made templates and scripts for rapid automation of provisioning while sticking to the cloud-design principles. Such a measured approach could help developers and cloud testing services to prevent any under or over-provisioning. Also, automated provisioning when done effectively using a cloud management portal or third-party tool could help foster the right DevOps environment. Sticking To CI/CD Approach Though it may appear to be an out-of-context practice, CI/CD integration is directly associated with automated provisioning and DevOps governance. Though CI/CD when worked through effective and precise use of scripts, can help reduce the time to deploy code, bringing CI/CD tools into the scene demands automated build tools, unit test, source code repository, configuration, provisioning, and deployment, all via integrated workflow. These tools and actions are essential to driving standardization in the automation environment while cutting manual errors. Also, having access to all these tools can help with predictability and improve the speed of the process. More importantly, the use of the CI/CD tool repository, automation provisioning, and all the above steps could help log every step for a quick audit of the workflow in the DevOps environment and add overall transparency to CI/CD pipeline. The Crux Apart from the above-defined 5 components of the DevOps automation governance model, it is equally important that every organization working on the DevOps model should aim at expanding the team working on Cloud Ops governance. This must need organizations to hire cloud testers, developers, and involve operational executives to ensure solid change management in the overall process. Also, centralized cloud governance could even help to simplify all the tasks surrounding account provisioning, establishing the network, shared services hosting, cost management, and security auditing. Such an approach could help control cloud resources and can even aid processing workloads and security parameters. All in all, it is necessary to understand how DevOps has helped changed the process for development and operations in order to incorporate security into the already existing DevOps philosophy. Therefore, sticking to the above steps of planning the governance model could help organizations to enjoy the best of DevOps without compromising speed and costs. Especially, when DevOps and DevSecOps have the potential to aid development lifecycle with all the scalability and security, adhering to compliance and governance regulations is everything that the world needs to witness futuristic transformations. Trying to incorporate DevOps and Agile practices into your existing business model? We can help you with all the support you need with our highly proficient Agile and DevOps testing solutions. Source: 5 Essential Components Of An Automation Governance Model In agile development test automation has significant role. Test automation includes testing techniques like automated acceptance and regression testing and unit testing.
Without automation testing team gets stuck in long and boring manual testing. But automation testing services needs to be done accurately, with poorly done automation you will get into these two situations where developers will shout at you for continuous rejection of builds and your project manager considers that you are providing broken code. Commonly during the early stages of automation test scripting there are situations where some tests pass randomly this is caused by set of factors like different order of page loading one of the most common irritation is when tests works fine in local environment but fails on build agent this causes debugging very time consuming process. Due to this there is a great requirement of improving test automation quality and making the tests more robust. This goal of this blog is to provide a set of methods to utilize in situations when you notice that your tests running but failing sometimes then run occasionally and failing for longer again.
Always Make Sure To Conduct a Pre-Test Checkups There are cases where flaky tests are the problem but unready environments are the bigger problem than that. You must create a robust set of tests which you can treat as a pre-flight check. Before you run any integration tests, you must run this suite to understand the compatibility of series of tests integration. These tests are comparatively very quick as they only check the HTTP statuses and integration tests. The Debugging & Retries Now, imagine if a test fails for three consecutive times. In that condition, you must automate the retry. It might increase the run times of the test; however, it will act as a quick fix until you take manual time to debug the cause of failure properly. You must perform this method until a degree of test stability is attained. Source: Ways to boost test automation robustness Test automation framework is generally a collection of tools used by software testing companies by following proper guidelines and set of rules to develop & design the test cases and test scripts, including preparing for the test recording.
Various types of automation testing frameworks are available to test different mobile, web & desktop-based applications on distinct testing platforms, servers, operating systems like Mac OS and Windows, etc. The rules that are developed for the test automation framework can be coding standards, processes, practices, concepts to handle the test data or safely store the test results. It allows us to test any business niche’s application with automated strategies. It includes several functions from test data, libraries to reusable modules for performing numerous test automation services such as functional testing, unit testing, smoke testing, integration testing, and regression testing. Types of Test Automation FrameworksThere are six varieties of test automation frameworks. Each one contains special features and has its own architecture to implement similar test scripts multiple times and derive the valid output for an application. Let’s check the different types of automation framework in testing:
Read More: Advantages of test automation framework Education is one of the most important aspects of our life, and technology has therefore making its move into this sector for years, improving the quality and standards for learning. From dedicated learning platforms to social media channels progressing towards learning, Education has completely transformed.
However, the efforts made on driving education-based technology proved to be extremely fruitful during the recent times of pandemic. When the entire world was hit by the extensive effects of the contagion, EdTech turned to be a savior raising the user signup on these platforms to grow by 600 percent during the initial phase of COVID-19. And when it is still 200 percent higher than what it used to be before COVID-19, it is vital to recognize major technology trends that have the potential to redefine education in 2021 and beyond. Nevertheless, the rapid development of education-based technology platforms even paved the way for increased demand for the testing of online educational apps. Since the software development communities around the world are progressively moving towards advanced technologies like AI and IoT to meet educational objectives, the future holds much intensive action fostering innovation. More importantly, all these trends are oriented towards engagement, creative learning, connectivity, and better collaboration. Let’s dig into the detail and explore what the future is likely to hold for learning enthusiasts. 1. Interactive Learning Through Gamification Learning and education have no longer stayed to be an intense business. Rather it is now defined as a process that should be engaging and fun. To ensure that students or anybody who is associated with the learning process should get optimum experience, gamification is meant to incorporate gaming elements into the learning process. This is usually divided into two broad categories – Structural Gamification & Content Gamification. Though both have their own benefits, the two types of processes are helpful in their own ways. One of the most common benefits of these two types of gamification is the fun of playing games and learning simultaneously. Also, games can help young learners to practice and check their performance. As long as it is concerned to adults who are involved in gamified learning, they get the chance to socialize more and develop their abilities within a competitive environment. This means nurturing a society with positive behavioral patterns and the ability to self-educate them on different learning platforms or formats. Moreover, the business aspect of gamification is all about offering something unique and of value to the customers who expect very little from the EdTech industry. However, the process needs you to have the best developers and, of course, a team of the best software testing services providers to ensure the best outcomes when it comes to market response. 2. Bringing Big Data Into Business Learning needs to be a very personalized experience since 100 people trying to learn the same thing have a different approach to anything taught. However, offering a personalized learning experience to all can be made possible through big data. Incorporating big data into education is all about accommodating more and more information with the participation of learners. Since manually, it is not feasible to take account of the learning curve for every student, big data empowers the process allowing volumes of data to flow inside and help create more personalized learning experiences. For instance, performance graphs created for a student throughout the year for different types of test conditions and processes could help identify the practices that are most convenient for teaching students from a particular group. Moreover, the same data could be used by learning institutions to locate possible drops and falls for any strategies enrolled. Also, the data can be used to reflect on the mental state of students allowing you to plan the perfect solutions for effortless teaching. The collected data can even be used for testing online educational apps to create a pleasing end-user experience for every new product launched into the market. 3. E-Learning For The Future The demand for distance learning has grown over time, especially after the outbreak of the COVID-19 pandemic, the trend has shifted even more rapidly. Moreover, attending workshops and lectures has turned to be an adventure with students as well as business enthusiasts turning towards online learning or collaboration tools. This is one of the most important reasons why eLearning is growing so quickly, making the global eLearning market reach a projected value of $336.98 billion by 2026. In a nutshell, eLearning has the potential to deliver improved academic performance, better engagements, and of course, advanced learning outcomes. Moreover, eLearning could even help the students to interact in a more open manner since it is easier to reach their peers using online platforms. Similarly, the peers could plan for quizzes, visual elements, or any games that can help with interactive and collaborative sessions. For now, the EdTech industry is likely to reach the $1 trillion mark by 2027, and therefore, eLearning in the near future is likely to redefine the entire concept of learning, education, and the way interactions. Read More: Technology Trends in Education Sector The testing of an insurance application is necessary as this sector consists of different companies that provide risk management in the form of insurance contracts.
These companies offer plenty of policies to customers which have their own benefits and drawbacks. Each investor has his/her future goals, needs, budget, and risk appetite. In the past, these companies relied only on paper-work and door-to-door service. However, in the digital age, insurance industries are using technology and software to shape their businesses, transforming the customer experience by providing an abundance of benefits to policy holders in their daily lives. Today, they use robust software systems to deal with numerous insurance activities like managing customer’s data, handling billing processes, developing standard policy forms, coordinating between branches, and rendering quality services to the customer. Though the work activities of Insurance are distributed among different branches, and it is obvious each branch have separate software systems that are needed to test with the proper domain expertise to ensure that the application will meet the unique customer’s expectations by guaranteeing durability, performance, quality, and consistency before actual deployment. Different Insurance Domain Applications
Travel Insurance: Travel insurance applications offer financial aids to travelers in case of trip cancellation, loss of baggage, and many more. Companies offer different types of travel insurance plans in the country, such as International travel insurance, domestic travel insurance, and home holiday insurance. Motor Insurance: The goal of Motor Insurance is to offer a policy that gives financial support in the event of accidents for your bike or car. There can be one or two more software designed for Motor Insurance as it is divided into three categories such as Commercial Vehicle Insurance, Two-Wheeler Insurance, Car Insurance. Health Insurance: Health insurance is a type of general insurance, which aims to give financial assistance to policyholders when they get admitted to hospitals for their treatments. Property Insurance: Any immovable structure or building can be insured through property insurance plans. The insurance can be done for commercial space or residential space. It also offers financial support and may take care of the content inside the property. Top Challenges in Insurance Solutions Development Insurance service providers are providing several facilities and features over an application; namely, application for loan, online premium calculators, saving plans, refinancing mortgage, submission of documents. It is crucial to ensure that the information shared over these platforms stays secure and provides accurate results to each person. Apart from that, there are a high number of chances that users will access this information from multiple devices. Proving the best level of customer experience is also necessary to achieve success in the insurance industry. Before knowing the test coverage techniques for insurance app testing services, you need to understand some challenges that insurers face today. User-friendly Interface Customer experience always comes first. It is essential to understand that your customers want a user-friendly interface because it helps them know what the product is about. With an intuitive and clean interface, they don’t need any tutor to run the application. Data Security Cybercrimes are increasing day-by-day. Healthcare applications contain the most sensitive matter of customers. Thus, don’t skip to get health insurance application testing because you may involve several features in your healthcare insurance software like sales team management and tracking, auto lead allocation, instant policy generation, online payment acceptance, lead generation and collection of documents, Insurance CRM module, health claim management and settlement, and so on. All these features can be of complex nature and may vulnerable to cyber-attacks. To fully-ensure its compliance with the Dodd-Frank Act and DOL Fiduciary rule, you definitely need to get the testing for any insurance product. Omnichannel Distribution The customized web and mobile insurance solutions provide a seamless cross-platform experience to customers. Android and iOS applications can serve as an extension to a web portal and give an unparalleled onboarding experience. Digital-based insurance applications can attract more users compared to a single mobile app. It is necessary to get a compatibility guarantee for different mobile devices. Addition of New Functionality It is challenging to make the software bug-free after adding new features to it. Even if the application is working fine with old features, but your users can experience crash issues and unreliability when you introduce new functionality in your application. At this point, you may have to face negativity about your brand. Therefore, always get functional and regression testing from the service provider of insurance domain applications and ask them to check the correctness of new features. Read More: What to test in the insurance application? When we ask customers what they expect from the test automation, the most common answer is that they want to reduce the time consumed to test the software before a release. On the “Heads” side of the coin, it is one tip of the iceberg in terms of benefits that you can acquire from test automation. Of course, reaching the goal with manual test cycle is burdensome and prone to errors , It doesn't allow you to reuse and automate the test scripts too. On the ‘Tails’ side of the coin, you start searching for other benefits of test automation. But let’s see how the time reduction goal for a test cycle became so much crucial in recent years, how the value of test automation gets increased, and what emerging trends are needed to introduce in test automation for 2021. Evolving Test Automation Trends for 2021 Agile Software Development Completely Replaced Waterfall Methodology Having said that, many companies already used test automation years ago, but it was not much popular as today. There are various reasons for this. Still, without putting much pressure on mind, we can understand the transformation from the conventional waterfall method to Agile software development contributed a lot to become the urgent need for test automation. In the traditional waterfall-based concept, working on software projects was demonstrated as a one-time thing. It was similar to developing a bridge, where first we had a plan and design. Later, we moved to the build and testing process to fix any minor issues in the project and ensure that the end product would meet the quality standards. During that process, we assumed that if engineering and planning were done appropriately, then it could be easy to resolve some programming issues. After some years, we realized that the waterfall model is not capable of fulfilling its promise. Due to the growing complexity of software projects, it was not possible to rely permanently on the waterfall model. Moreover, customization is the new market trend that allows customers to make changes in the application whenever they need it. In this case, it is not feasible to close the technical details or plan many more features of the project in advance. Apart from that, it is impossible to predict the next new technologies. Business needs also get changed from time-to-time. Now, you may clear why having an Agile-based software development or mindset becomes so essential in test automation. It helps us respond quickly to customers and allows us to deliver multiple projects in a single month. One can fix bugs a number of times, improve its team morale, and obtain the benefits like customer satisfaction, continuous improvement, better control, superior quality products, and even reduce the chances of future risks. Hassle-Free Script less or Codeless Automated Testing Codeless automation testing is one of the top test automation trends that you can watch out for 2021. Several codeless automation testing tools are ready for QA specialists in the market, such as Perfecto, TestCraft, Katalon Studio, CloudQA, Selenium IDE, and TestCraft that you can use to experience much more productivity in the codeless test automation journey. Accomplishing test automation at a scale is the cornerstone to experience progress toward a continuous deployment release tempo. In this case, taking the risk of writing multiple lines of code for test automation can be a laborious or time-consuming process for even the most proficient SDETs (software development engineers in test). When using codeless testing tools, it becomes more convenient to generate easy test cases because it is based on visual modeling and crafted using robust AI technology. Some of the lucrative benefits of codeless testing tools are as follow:
Hyper Automation – Providing the Crucial Edge to Customers in Digital Transformation The ability to enhance customer experience, quality of employee engagement, and the need to improve service and operational performances are some of the more influential drivers of hyper-automation that is sometimes known as cognitive or smart automation. Many enterprises today focus on providing safety and business continuity to customers. All over the world, people are working remotely. They are struggling a lot to generate handsome revenue through different mediums and planning to boost their transformation process using digital technologies like Big Data Analytics, Data & Analytics, Artificial Intelligence, Deep Learning-Based Image Recognition, Artificial Neural Networks, Natural Language Processing, and Statistical Machine Learning. These are some emerging technologies added to automation to help organizations implement several tasks with high-efficiency and accuracy. Also, it provides us with better outcomes for businesses and lets our customers get a world-class product experience. Refactoring Helps Reduce Complexity in Testing It is not feasible always to develop new features for customers at an inexpensive cost because the price of the software can be increased according to the complexity or latest technological demands of the project. The solution for reducing accidental complexity is refactoring, which is the strategy to improve the internal design/internal structure or a piece of the software without considering its external behavior. Refactoring is one of the best innovations in test automation because it helps us enhance the software’s design bit by bit without redesigning the entire system. There are numerous refactoring tools available on the web. Still, even after having the popular refactoring tool, some developers introduce new bugs in the system and leave the bug for software hackers. In order to give steady deliveries, additional features, and quality projects, one needs to do refactoring with detailed regression testing because it helps keep complexity under control and helps teams find and remove defects from the software development life cycle early as possible. Continuous Improvements in Software Testing The thing that attracts everyone in the software company is how test automation maintains its relationships better with all facets in the development cycle. Other than productivity and quality, test automation is related to business processes, the culture, the organizational structure, and the architecture of the product. Many companies realize that for improving the testing process, it is vital to give the quality for the software application and for all its business processes. However, improving and controlling the test process is not much simple as you supposed because clients give their demands on-demand that one needs to fulfill by hook or crook. If your current test plans are sufficient, still, you need to ensure improvements for the future. You also need to have forward or proactive thinking to review the testing process. To implement the continuous process model or experience continuous improvements in software testing, test managers have a dire need to focus on the PDCA (Plan-do-check-act) model because it helps you learn from results and set targets, creates a matrix, and identify the improvements. With the four-step management method, you can also evaluate the efficiency of test improvement actions and analyze how much you save from one project while continuously improving the process. In the end, you can review the improvement activities, standardize the improvement point in the management process documents, and it lets you understand where and when you need to apply changes in the next project. Robotic Process Automation Any software bot that you utilize to automate everyday or highly repetitive tasks is called RPA (Robotic Process Automation). In RPA, robots are some software programs that can mimic human actions and make an excellent interaction with your computer apps to have a knowledge of rule-based activities. Based on pre-defined data and rules, robotic process automation shows its strengths while solving complex business problems and helps us make better decisions for our business. RPA is sometimes referred to as intelligent automation as it works based on the latest technologies such as Machine learning, Natural Language Processing, Natural Language Generation, and Computer Vision. When using RPA as one of the top test automation trends in 2021, it promises to provide the following benefits: Less Human Errors: While doing data entry like tasks or maintaining similar records into multiple systems, we always choose copy-pasting work because it saves our time and helps us complete our task faster. Still, as a result, it increases the chances of errors and sometimes puts us in a bad situation. However, RPA-based tools are superior to eliminate human-made errors and versatile enough to manage simple to complex testing activities. Improve Time to Market: Instead of completing your application task in a month, RPA allows you to develop, test, and deploy various activities within hours and ensures to give high value to your customers. Agility & Speed: Due to the increased use of robot-based resources and less human involvement, you can efficiently perform the same task at high speed. Apart from that, RPA helps you get reports or detailed insights to make more informed decisions in business. Even it gives you a recording feature to plan some new things for the future. Better Customer Service and Management: From deployment to monitoring, you will get a centralized platform through RPA to give your customers 24/7 service, and they will be able to generate a huge ROI. No Previous Programming/Coding Language Required: At some RPA platforms, you can have a design in the form of flowcharts to focus on productivity and high-quality work. It helps you handle automated tasks, so you don’t need to worry about learning previous or past-based programming languages. Original Post: Test Automation Trends 2021 Data warehouse testing is a testing technique in which the data placed inside a data warehouse is tested for accuracy, integrity, reliability, and consistency in accordance with the company’s data framework. Data warehouse testing aims to ensure that the data that is integrated inside the data warehouse is reliable enough to make the best decisions for company benefits.
Three basic testing levels like unit testing, Integration, system testing with data warehouse testing checklists are crucial for making data warehouse systems efficient and running them correctly. Data Warehouse Testing Challenges The process of data warehouse testing is very different from the app testing as it requires a data-centric testing approach while testing. Programmers who face various challenges are as follow:
Read More: ETL Testing Key Aspects To meet the digitally equipped customers' expectations, every industry is relying on Quality Assurance (QA). Similar goes for the banking sectors, consumers want the best of their services, and digital transformation in banking is picking up the pace. Banking digital transformation will result in increased data transparency, removal of intermediates in the process, and fast and secure methods to access financial and intellectual data.
Driving Quality and Performance with Robust Testing: Quality assurance (QA) initiatives like choosing the right kind of banking software testing tools for help in delivering quality products that effectively meet customer needs and preferences. With the help of Optimized QA processes and right test management programs, banks can reduce post-production defects. Quality assurance helps in increasing the reliability & security of core systems, and one can reduce the cost with the help of automation. In banking, an end-to-end testing methodology is required. It should include Omni-channel testing, continuous testing, cybersecurity testing, customer experience testing, banking app testing along with stress and load testing. QA ensures complete coverage of all business requirements as well as the functional aspect of the application. Read the blog to know how quality assurance helps to bring the best out of this banking digital transformation. Banking Digital Transformation with QA The process of testing the interface between two modules or two software units is referred as integration testing. It is a type of software testing in which various components such as hardware and software are combined to meet the wide variety of business requirements and expectations.
Performing the integration testing in the Agile era is an integral part because it gives the utmost ease to communicate and collaborate with the development and testing teams. Moreover, according to the research, 97% of the software testing companies use the agile methodologies for the distinct phases of the software testing life cycle because it allows the organizations to solve the complex issues of the projects quickly and make them more convenient for delivering the 100% value in everyday tasks. Types of Integration Testing Integration testing can be performed in four ways: 1. Big Bang Approach. 2. Top-Down Approach. 3. Bottom-Up Approach. 4. Hybrid Integration Approach 1. Bing Bang Approach in Integration Testing Big Bang is the first method of integration testing in which all the software modules/components are merged at once. Then the identity of these multiple functions is evaluated separately. Example of Big Bang Approach in Integration Testing Suppose there are two components, one is a reports module, and another is a transaction module. First of all, the organization performs testing on these sections individually and later combined into one framework to do the tests in a streamlined manner. Make sure the integration tests will never be marked as successful until all the levels are not completed. Advantages of Big-Bang Testing
The top-down integration testing is carried out by using stubs that are regarded as the dummy module, and that can be replaced temporarily. The second method of integration testing in the software test life cycle is preferred by the software testers to understand the behavior of low-level components, which are not incorporated yet. Furthermore, stubs, the replacement for the 'called' modules are used when there is a need for interaction of the software with an external system. The chief purpose of using the top-down type of integration testing in STLC is to start the tests from top to bottom. Read Full Article: Importance of Integration testing With continually changing lifestyle choices, climatic changes, and technological developments, the present-day risk scenario has too changed. Insurance companies these days are coming up with wacky insurance proposals like Bail bond insurance, Wedding insurance, Alien Abduction insurance, Valentine insurance, kidnapping insurance, Taste Bud’s insurance, and body part insurance too. A few of them may sound silly, but creativity is required to keep the business going in this digitized and tech-savvy world.
Continuous back-end support for performance testing in insurance domain is a must, which can be attained through easy-to-use applications that are not only effective, productive, but responsive as well. Selling a policy is vital for the insurance business, but engaging the client and upselling products is a foresight that will bring commercial value in the robust real-world. Peculiarities & Challenges of the Insurance Sector Insurance providers are introducing different features and facilities over an insurance app these days, mainly, submission of documents, refinancing a mortgage, saving plans, online premium calculators, application for a loan, and much more to overpower key challenges of insurance. It is important that the data shared over these platforms is correct and stays safe. In addition, there are definite chances that the user uses this information across many platforms. This implies that wherever the insurance app is used, the user experience has to be unanimous. Insurers are facing numerous challenges in understanding the changing preferences of users and what their agenda should be. Remember that technology has been an enabler for the insurance industry, but ensuring its availability and performance is becoming very important. One of the key methods to sustain is through the adaption to IT systems and enabling the business revolution. Digitization and testing insurance domain applications is indispensable to bring in more liability and approach-ability for seamless user experience. Many factors are impacting the insurance business; however, it’s vital that insurers inventively adopt these changes. Agile technologies like Big Data, Social Media, Mobility services, IoT, Cloud, and Analytics are necessary to ensure better user experience and positive user experience. Nonetheless, its success relies on its actual adoption. Importance of Insurance Application Testing These days, the Insurance industry is extensively spread across different areas such as Health, Property, Life, Car, etc. With such an extensive range and insurance QA trends, they have numerous software products to meet the end-user needs effectively. Usually, there are odds for the same insurance product to move well rapidly in one part of the nation and move deliberately in some other parts. So, with such a big variation, insurance businesses consider the demands of their native users and make software as per their requirements. Currently, testing becomes a difficult task when there is such a condition where the software features differ. Therefore testing insurance domain software is required to make sure if the insurance software is working according to the local customer desires or not. Well, in this current digitized world, every single insurance company practices different technologies to sustain their software product and insurance software app testing services eventually help them to cut the cost and improve the user experience. These days, insurance companies too spend funds to keep their user’s data safe and secure. In fact, several Insurance businesses have even started to show their footmark via mobile apps. Tips for Effective Insurance Automation Testing Although insurance businesses are bogged down by bequest technologies and strict guidelines, they don’t have to lag behind now. To begin hosting test automation effectively into their software development process, they must consider these: Introduce automated testing as soon as possible. A very common misapprehension of test automation is that businesses can begin automating testing at any time, sooner or later; however, this is not the case because:
Concentrate on the method first, and then on the tool for insurance domain testing. A great test automation method can help bypass the maximum problems that stumble upon in the implementation, i.e., dependability, reusability, and maintainability. For example, methods like action-based testing may help bypass ineffective test practices that later on make your testing phase slow and fragile. Note that the chosen testing method should align with your business purposes, such as ensuring a high-quality UX by simulating precisely what the customers do. Understanding the Top Insurance Trends and Aligning the Objectives Proper blend and implementation of digital technologies can help businesses to ensure not just the user experience but higher ROI as well. The present era demands IT excellence and a complete revolution of the IT domain, which is only possible through a QA revolution. Digital assurance and testing an isn ensure reliability and further help insurers to embrace the new technologies according to their business objectives. Presently, the Insurance industry is a very data-intensive sector, where huge information is stored. This information comes from numerous sources, and even a slight bug can risk its accessibility and safety. An effective QA strategy cannot merely help in confirming the security of information, but also lead user recognition and acceptance. Automation for Authenticated Outcomes Test Automation not just speed up the testing activity nevertheless also makes it surefire to an extent. In fact, it brings down the complete testing efforts, thereby giving time to concentrate on other major tasks. However, it is acclaimed to consider automation testing tools that are related to the specific project. Authenticated and tested results help businesses to venture assertively. Agile to Build Flexibility Effective testing of insurance software needs professional testing experts with domain expertise. With varying trends in testing, a QA testing program ought to involve processes like Agile pooled with fundamental system testing. Agile aids in keeping communication networks open. More so, this further helps teams to go back if there is any collapse or gap. Teams can now update their software in real-time and make sure the efficiency of the software is good enough. Furthermore, it helps in making a user-centric approach with approaches such as shift-left. Keep your Security Testing Approach Close For modern insurance businesses, Test Automation is very much vital to ensure smooth user experiences & fostering loyal users. Insurance businesses find themselves held back by technologies; though, they don’t need to lag behind anymore. Start integrating automated testing early, keeping it in concentration during the whole designing process. Emphasis on the method first, and be sure to select a tool that supports. Many insurance companies face many software testing challenges as it is, so there’s no more need for testing on that list! If your insurance company is looking to make the leap towards automation, contact us today. Source: Software Testing For Insurance Domain In 2020, the telecom industry is set to revolutionize the world, with the launch of 5G network services, along with AI, IoT, and machine learning. Mobile operators like Verizon, T-Mobile, and Sprint, are competing amongst themselves to be the first in the market to offer 5G-enabled services, to their customers. In the coming era, people dream of having autonomous driving, smarter cities, smarter homes, and much more. But, while boasting about the advanced capabilities of 5G network with high speed, increased data rates, low latency, and ubiquitous connectivity, we should also address the potential vulnerabilities.
5G Cybersecurity Cybersecurity of 5G Networks is one hot-button issue that is considered a significant threat to the emerging 5G technology, and security testing will play a major role to cater the same. Software testing companies need to prepare themselves well, to face these threats and update their security testing services to protect enterprises from cyber threats. Impact of 5G Security 5G brings along a plethora of benefits like high network speed, improved communication, and seamless connectivity to leverage IoT, and many more. Network security will become crucial with the evolution of 5G in the coming years. To strengthen the 5G security, networks will need high-level encryption, NFV (Network Function Virtualization), network slicing, and Mobile edge computer, and other advanced featured to be implemented. Challenges in the 5G Era As the world is prepared to be connected through 5G, there is going to be an increased demand in IoT. With technological advancements, there can be more business disruptions as well. Cyber attacks can damage your business if cybercriminals manage to breach IoT devices and squander with sensitive client data. According to Gartner, “5G Mobile Phones’ Market Share will grow rapidly, from 12% in 2020 to 43% in 2022.” The onus of keeping the customers’ data and the software secured and robust is on the security testing company to protect businesses while making technological advancements in cybersecurity in 5G era. Software testing companies must understand the various threats that can be faced in the days to come. Let us have a look at them: 1. Distributed digital routing Cybersecurity can be very well ensured in the case of 3G and 4G, as the network designs are apparent and well connected. 5G network, on the other hand, is distributed and based on software-defined digital routing, which makes it challenging to inspect and control cyber threats to ensure 5G security, if any. 2. AI vulnerability These days, enterprises are advancing to manage their networks using AI. But, Artificial intelligence is vulnerable and can lead to a threat to the entire network. 3. Virtual Networks Physical appliances will be replaced by virtual networks in 5G technology, leading to a complicated network, which may act as a boon to cyber attackers in the years to come. 4. Easy to hack Billions of smart devices are attached to the 5G network, and they are prone to be attacked by cyber attackers. Hackers are always looking out for insecure IoT devices to plant their malware. 5. Expanded Bandwidth 5G offers Dynamic Spectrum Sharing to provide bandwidth expansion. Low-cost and short-range antennas can be easily targeted by hackers causing additional vulnerabilities in the network deployed in urban areas. The reasons, as mentioned above, make it compulsive for entrepreneurs to partner with the best and reliable software testing companies to scale up their business in the 5G network era. 5G and Future of Cybersecurity with Security Testing Software testing companies need to assess and update their security testing services domain to cater to the technological advancements in the year 2020. Businesses need to adopt a robust asset management system, along with updated security standards, to tackle the threats caused by the emerging technology, mainly cybersecurity of 5G network. 1. Comprehensive security testing Due to the complexities and challenges with the 5G era, the security aspects need to be thoroughly monitored to maintain and achieve a secure and robust system. As compared to previously used 3G or 4G standards, 5G will be more secured, but they require proper configuration and management of the security domain. This will also help in providing tighter security for managing third parties and better control on the supply chain management. Enhanced security controls are gaining a lot of attention these days as there is an increase in the software content of 5G networks and more demand for the IoT devices. Software testing companies need to implement industry best practices and follow security standards at every software development stage, starting from coding, testing, and release. Automated security testing services have a significant role to play in carefully handling cyber threats. 2. Shift to Virtual Networks Software-centric and virtualized networks are used in the 5G era to deliver enhanced performance at reduced costs. There is a significant shift from the traditional and customized hardware to software components that are running on COTS (Commercial off-the-shelf) hardware. As there is a drastic change expected in the communications landscape, some challenges are sure to follow. With the usage of latest and unique software architecture in 5G, current technologies like HTTP and REST APIs are used to replace the proprietary interfaces that were used before. This makes the 5G network more vulnerable to cyber attacks. Also, NFV or Network Function Virtualization relies on a software stack and infrastructure for the execution of network functions. It will effectively deliver scalable results, as compared to the traditional platform approaches. A software system that is composed of various open-source and other components from different vendors adds more risk to the cybersecurity for 5G network. Apart from this, as 5G will be used for smart home or smart city projects and their automation, there will be a proliferation of connected devices. It will eventually demand more new use cases, with more reliability, throughput, and latency requirements. Different sectors like healthcare, automotive, retail, utilities, etc. should lookout for the best security testing service provider to ensure best-in-class results. A third party is necessarily required to configure and manage the network complexities, and to serve reliable software and security testing for their network. With the emerging global technology eco-system companies need to ensure that they join the league with hardened infrastructure and utterly safe from the cyber attacks. Governments across the world are analyzing the issues related to the cybersecurity of 5G Networks, to facilitate improved security levels for shared and saved data. The commitment to deliver 5G services is fascinating. Still, it requires thorough security testing by using security assessment tools like penetration tests, vulnerable scanning, fuzzing, end-point, and identity and access management solutions. Software testing companies can benefit your business by proper validation of all the aspects of communication infrastructure. Original Source: 5G Cybersecurity A comprehensive approach towards software testing and quality assurance becomes a vital part of a software development life cycle. Businesses always strive to deliver quality products and here you’ll get an insight into how agile testing helps you achieve quality goals in the process of software development. Adopting agile would be a wise decision for businesses to excel in delivering a quality product. Let's check out the major benefits of agile testing for your businesses: 1. Testing becomes a crucial part of the development process 2. Agile puts more emphasis is on fully-functional software delivery 3. Better-quality product delivered 4. Fewer risks involved 5. Enhances morality of the team 6. Save money and generate profits To read these points in details, visit the original source here - Agile testing benefits |
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