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It seems impossible to go a day without having our phones on us. Whether we’re checking email and bank statements, shopping, playing games, or even following GPS directions, our mobile devices are a key part of our daily routines. When we develop an application with the awareness that it will be available on smart devices, it’s important to design a testing strategy from the start.

B2B applications are those that enhance and facilitate business-to-business collaboration. These specialized software solutions improve productivity, streamline processes, and enable easy interactions in the complex realm of inter-organizational transactions. B2B web applications lay the foundation for efficient data sharing, cooperation, and communication between organizations, enabling them to prosper in today’s cutthroat business environment, from automating procurement to managing supply chains.

The work of Jerry Weinberg cannot be ignored when speaking of quality. Jerry defined quality as value to someone who matters. When he said who matters, he meant the customer or end user. It’s impossible to build a quality product without considering the people for whom it is intended. However, most teams ignore or overlook the user aspect of the product from the beginning.

Test automation is a key element of software development that aids in enhancing the efficiency and effectiveness of software testing processes. It allows businesses to reduce manual efforts, increase coverage, and accelerate product release. However, understanding the true business value of test automation requires an in-depth look into various quantifiable and qualitative measures.

In a previous post focused on the basics of test coverage, we talked about why it’s an essential aspect of software testing to achieve these goals. This time, we’ll be putting the spotlight on test coverage techniques and best practices to ensure the best results. This may be accomplished by creating a thorough test strategy that includes all levels of test coverage.

The rapid development of artificial intelligence (AI) in recent years has transformed several industries, including software testing. AI-powered test automation solutions have had a tremendous impact on test automation, allowing organizations to improve their testing capabilities and efficiently deliver high-quality software products. However, AI in test automation, like any technological innovation, has both advantages and challenges.