Software testing trends 2019

Software testing trends 2019

In the current times, the software development industry has been changing very rapidly. Similarly, we can find the rapid developments in the software testing industry which helps to bring future advancements by coming up with new trends to allows quality analysts to enhance their skills. Modern software development teams are no longer content with the testing phase of a software to happen as a last-minute affair.

Software testing trends 2019

With DevOps being adopted by modern day software development teams, here are some of the latest trends in software testing industry that need to be adopted by a QA, tester in 2019 to continue to remain competitive among peers and to stay ahead of the competition.

  1. Shift-Left: Shift-Left is the practice of testers working more with developers and product owners to test as early as possible. Shifting left is all about delivering speed and efficiency. The traditional approach to testing, in which testing is conducted by a quality assurance team at the end of the development process, delivers neither. The earlier in the pipeline you can conduct tests and get feedback to your developers, the more productive they’ll be, and the more likely you are to avoid costly delays that keep you from getting the latest and greatest version of your app into the hands of your customers.
  2. Cloud-based Cross-Browser Testing: It is practically next to impossible to manually perform cross-browser compatibility testing of applications across hundreds of combinations. This is where the popularity of cloud-based cross browser testing tools such as BrowserStack, Sauce Labs and Cross Browser Testing has come into picture. The use of such cloud-based testing tools is going to remain very popular in the coming year as well as these tools offer seamless integration of other popular Open Source software test automation tools like Selenium and Appium.
  3. Artificial Intelligence(AI)/Machine Learning(ML) for Testing: AI/ML algorithms are developed to build much better test cases, test scripts, test data, and reports. Predictive models will help to make decisions about where, what, when to test. Smart analytics and visualization support that the teams to find flaws, to comprehend evaluation coverage, areas of elevated risk, etc. We expect to see more software of AI/ML in addressing problems like quality prediction, evaluation case prioritization, fault classification and assignment in the approaching years.
  4. Increased Use of DevOps: Initially, the testing in the DevOps development cycle begins with continuous integration and continuous delivery. Allowing the testers to perform continuous monitoring and testing to check for the proper functionality and performance of the application along with the development.
  5. Performance Engineering: This year, we will witness performance engineering replacing performance testing altogether. Instead of only executing the test scripts, now the testers will aim at examining how the system elements work together. The different system elements include security, performance, usability, software, hardware, business value, configuration, and customers. Performance engineering collaborates and iterates on items of the highest value, delivering them quickly for ensuring a superior quality product. By implementing performance engineering, the businesses can exceed the expectations of the customers this year.
  6. Big Data Testing: In this testing, testers have to verify that each terabyte of data is processed successfully. This is done through commodity clusters and other supportive components. It basically focuses on performance testing and functional testing. In big data testing, quality data is a critical factor. This quality check is done prior to the actual testing. In test metrics, data quality is checked on the basis of various factors such as conformity, accuracy, consistency, validity, and duplication.
  7. Internet of Things: Internet of Things (IoT) is one of the quickest developing innovations in this era and IoT is a challenge for Test Automation. An entire set of data online is associated with one another through the web. The hardware is controlled by a devoted program which associates them to the web and from that point, it interfaces with every other thing. As awesome as it might sound, there are various vulnerabilities in the framework. Consequently, the programs or products which are associated ought to be tested for quality, functionality, and most significantly security in 2019.

All of the predictions above paint a clear picture of QA as a rapidly evolving, highly engaging and critically important component of the software delivery life-cycle. When DevOps first took hold, questions about whether or not software testers would have a role in the future were rampant. Going into 2019, we can say the exact opposite is true.

In fact, the most obvious prediction about the future of software testing is that the field will only grow in importance. We’re already seeing QA play an outsized role in the software delivery process as it becomes a cross-functional priority, and this trend will only continue. One of the most important byproducts of that change will be enormous growth opportunities for everyone involved in QA. This growth will not only propel careers forward for experienced testers, but it will also drive growth in the field as more people starting out in their careers decide to pursue a future in QA.

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