Test automation greatly helps in saving time and resources and also dramatically improving the processes, which in turn leads to a high-quality software product. But, automation cannot be directly implemented without much thought and judgement. There should be a clear strategy put in place that can optimally improve the test automation activities and for this purpose, there is a definite need to build a test automation strategy. In this article, you will get to know the steps required to build a test automation strategy . Following are the five steps required to build a test automation strategy: 1. Define the automation scope: Following are the two important points that need to be considered while defining the automation scope: 1.1: The test cases that need to be automated should be shortlisted: The concept of the ‘Test Automation Pyramid’ can be applied. According to this pyramid, unit tests can be written quickly. Unit tests form an important part of the automation testing ...

  The test automation framework provides a platform for conducting all the test automation activities in an optimal manner and thus improving the efficiency of the testing process. Every software development project has its own specific requirements and scope and hence it becomes important to select the right test automation framework that can truly justify the project needs. In this article, you will get to know the steps required to select the right test automation framework. Following are the six steps required to select the right test automation framework: 1. Analyze the project requirements: The expectations need to be clearly understood before any specific tool is applied in the project. This means specific business and project issues should be solved by the tool. This depends upon the software development methodology and the project scope. Features like reporting and key aspects such as test coverage, project scope and level of software testing (performance testing, u...

The platform of Artificial Intelligence (AI) and Machine Learning (ML) has been considered a highly productive domain by organizations worldwide. With the advent of AI testing, the software testing realm will eventually witness a monumental shift in the way testing activities are carried out. Accurate test results along with testing large amounts of data without any human intervention can be made possible by the AI platform. A QA tester has to raise the bar in terms of upgrading the specific skillsets required to manage the complex and intricate aspects of artificial intelligence and machine learning meticulously. In this article, you will get to know about the future role of the QA tester, when AI testing will take over.  Inaccuracies are greatly reduced in QA through the strategic application of AI: Both machines and humans have their pros and cons. Huge amounts of data can be greatly analyzed by machines, whereas humans excel in applying knowledge and exploring creativity. Huma...