Software Testing and Artificial Intelligence: AIs Influence on the SDLC

Introduction

In the ever-evolving landscape of technology, the use of Artificial intelligence (AI) has been making increasing waves in our industry for quite some time now. It has been integrated into various processes, from customer service to data analysis, and now, it is making its way into the Software Development Life Cycle (SDLC). As AI continues to evolve, its impact and usefulness in software testing is becoming increasingly apparent. In this article, we will dive into the world of software testing and Artificial Intelligence, its current state, and how it will affect the SDLC in the near future.

Exploring AI's Role in Software Testing

The increasing integration of Artificial Intelligence (AI) into the real world of software testing is reshaping and potentially transforming how software testing is approached and executed.

From offering intelligent automation to predictive analysis, AI is helping to optimise testing projects and processes, enhance efficiency, and ultimately elevate software quality.

As well as helping to improve existing practices, AI can be a catalyst for innovation and in this blog, we will walk through the areas which we think it either could or is already having an effect.