Unlocking the Power of AI for Shift-Left Testing – A Game Changer in Automation
Karan Kumar Ratra, Gaurav Sharma, Dhruv Kumar Seth · International Journal of Computer Trends and Technology · 2024
This paper explores the paradigm shift in the current software development era by test automation facilitated by artificial intelligence (AI). Integrating testing activities as early in the software development lifecycle as possible is the focus of the shift-left testing culture. This article explores AI-powered developments like automated test creation tools, intelligent prioritization of test cases, real-time anomaly detection and enhanced test reporting with AI integration. The advantages of AI in boosting coverage, cutting defect-related expenses, and increasing testing efficiency are also covered as case studies in this paper, with real-world examples from SaaS and automotive companies. Although there is no denying the advantages of automated AI systems, there are concerns about maintaining data accuracy, preventing biases, and controlling implementation costs. The paper concludes by pointing out the possible ways to use AI-enabled early-stage testing solutions, what, if any, benefits they could offer towards the development of software testing procedures, and why it is essential to include ethical and responsible AI in software testing strategies.