The best software testing method for retesting software is regression testing. When new features or updates and modifications in code are done, regression testing is proved to be a worthwhile testing method. In some scenarios, the whole program cannot be retested as it is not feasible given the amount of cost and time. To overcome this problem, a subset of all test cases is executed and then these test cases are executed based on test case prioritization. In this article, you will know about regression test case selection using machine learning. Test case selection can be carried out through a vast amount of methods, but, mostly it is based on the domain expertise of Subject Matter Expert / Test Engineers. The Manual process is iterative, time-consuming and the engineer’s skills largely depend on it, which means the chances of missing some relevant test cases are high. In this article, a Proof of Concept (POC) is used to select manual regression test cases. Preparing and collectin

  Smoke testing is a key software testing type that determines the stability of the deployed software build. The Smoke test suite is applied to further enhance the performance of smoke tests, thereby streamlining and improvising the testing and development process. The most crucial tests in the software product or application are selected in order to build a smoke test suite through which an application's basic functionality is checked. In this article, you will get to know about the   smoke testing   suite, why you need it and how it can be automated. What are Smoke tests? Development teams create smoke tests to verify whether the software application's basic functionality is running properly or not. If it is a failed test scenario, then the deployment is rejected until the basic errors are meted out. Some of the characteristics of High-quality smoke tests are as follows: Navigating or clicking through almost all the screens of an application Key functionalities such as export

  Following are the six steps that are required to run effective User Acceptance Testing (UAT): 1. Scrutinize the application: The first step is to ensure that the software product that is being used for UAT is thoroughly tested by the QA team. If there are any bugs, it needs to be fixed at the earliest. 2. Develop a test plan: The application needs to be tested comprehensively through the UAT process against its requirements. A formal test plan is required that can document the specific steps for each test case that needs to be performed and the expected results that comes with it. In an ideal scenario, the business owners can take the responsibility to write the UAT process as they have a better understanding of how the product should function and what will be its key features. Either wise, an alternate viable option would be that a test plan can be produced by the QA team or Project manager. 3. Set up a test environment: A real-time test environment should be set up for c

User Acceptance Testing (UAT) is the final phase of the software testing life cycle. It provides a detailed overview of the software product’s/application’s working in a real-time environment from a users’ viewpoint. There is a specific strategy that needs to be followed for implementing UAT in an agile framework. A scrum environment would prove to be ideal for conducting UAT, where an increment of working software is delivered. Following are the five UAT testing best practices: 1. Selecting the right users: For the success of UAT, selecting the right users plays a prominent role. These users will be held responsible to test the product. These users can be external or internal or both, experienced or inexperienced or maybe catering to different job roles. In certain scenarios, a product may be entirely customer-centric, and hence the customers will be responsible to test the product. Once the customers test the product, the feedback gathered will be extremely insightful for the

IT deployments relied on the waterfall model and it worked really fine. But, with the advent of the agile model, the speed and agility of project development are taken to an all-new level, and thus businesses are steadily shifting their focus in adopting the agile methodology . The Waterfall model has some flaws where the dominance of agile wins. In this article, you will get to know about the five reasons as to why agile methodology is better than the waterfall model. What is agile methodology? It is a process where a project is broken down into several phases and each of these phases is developed in an iterative manner till a specific objective is attained. Teams collaborate and communicate constantly to discuss and work on the project’s progress. Stakeholders are constantly collaborated and continuous improvement takes place at every stage. Team members are properly assigned with their specific roles and responsibilities and simultaneously values, opportunities and problems are

Selenium has proved to be a highly popular test automation tool and organizations have benefitted through this highly efficient tool. Over a span of years, selenium has proved to be a demanding test automation tool because of its key features and huge support. But, though there are a lot of advantages of selenium, there comes disadvantages also. In this article, you will know about the pros and cons of selenium testing automation software. Pros of selenium : 1. It supports mobile testing: Native, hybrid or web mobile applications can be tested with selenium tool, by just using additional software. Selendroid and Appium can be used based on project specific requirements. These two software tools are fully compatible with selenium. Both appium and selendroid have huge community support and are also open-source. The main difference between the two is that selendroid focuses exclusively on android, while appium focuses on Windows, Android and iOS devices. 2. Selenium supports a wide

Smoke testing and sanity testing play a unique and insightful role in the software testing domain. Both these testing methods have specific priorities and objectives in the software development process. Smoke and sanity testing ensures that specific requirements in the software development stage are met. A comparable software build can be used by smoke and sanity testing in order to test strategically. Proper verification process of the software build can be carried out effectively and productively, due to which testing and development teams can work on their specific testing activities in a more planned and productive manner.  In this article, you will get to know about the differences between smoke testing and sanity testing. What is smoke testing?   It is a testing method that determines the stability of a deployed software build. QA team gets the necessary confirmation through the smoke testing process to know whether to proceed further with testing activities or not. On each bu