Tag: software quality

DevOps practices have revolutionized the industry by fostering collaboration between development and operations teams, streamlining processes, and enhancing deployment frequency. However, as technology advances, new tools emerge to further augment and refine these practices. Gen AI is one such innovation, offering a synergistic approach to software quality within the DevOps framework. Gen AI represents a

The need for robust testing methodologies in the world of software development has never been more critical. As applications become increasingly complex and interconnected, ensuring their reliability and functionality across diverse environments is a monumental challenge. However, with the advent of Gen AI, a transformative shift is underway in how software testing is approached, promising

When it comes to software development, ensuring the reliability and functionality of applications is paramount. Traditional methods of software testing often rely on manual creation of test cases, a time-consuming process prone to human error and oversights. However, with the advent of AI technologies, particularly generative AI, a new era of test case generation has

Ensuring high-quality code is essential for the success of any project. Traditionally, maintaining code quality has been a labor-intensive process, involving manual reviews and extensive testing. However, with the advent of Gen AI, there has been a paradigm shift in how software quality is approached and achieved. 1. Introduction to Software Quality Software quality refers

In the fast-evolving realm of technology, software testing is no longer a mere quality assurance process but a dynamic and multifaceted discipline that incorporates AI and autonomous systems. These technologies are increasingly revolutionizing the way we approach software quality. Let’s delve into the implications and future possibilities of AI and autonomous systems in testing and

Application Coverage™ is the new gold standard metric of testing completeness, having supplanted the old-school metrics of Test Coverage and Code Coverage. This is because Application Coverage mimics user experience and can only be comprehensively achieved via generative-AI. Test Coverage and Code Coverage are limited because they are human dependent in terms of test conception,

Generative AI is a godsend for software quality teams and their executives. Indeed, Generative AI has changed software quality for the better in five substantive ways:     Collectively, these five changes usher in a new golden era of software quality. And, they elevate the quality function from mere testing to true Quality Engineering. Let’s drill down