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Quality assurance with Gen AI
Maintaining quality standards while accelerating the development cycle
The Capgemini Research Institute report, Turbocharging Software with Gen AI [1], highlights the transformative potential of generative AI (Gen AI) in software development. By leveraging AI-driven tools and methodologies, software development teams can significantly improve productivity, efficiency and the overall quality of their output.
Quality is a critical consideration for software development teams. They must be confident that, when they harness the power of Gen AI, it will maintain a high level of code quality while accelerating the development cycle.
Understand the SWAT characteristics of Gen AI
If you’re going to deploy Gen AI effectively, then mastering the software development lifecycle (SDLC) is critical. The SDLC encompasses various phases, including business requirements analysis, coding, testing, deployment and maintenance. Understanding the strengths and limitations of Gen AI at each of these stages is critical to maximising its benefits.
Gen AI can assist in several SDLC phases, providing support in areas such as code review, debugging and failure prediction.
- Business requirements analysis phase: Gen AI can help identify patterns and trends, providing valuable insights for…
