• kishore kumar mishra
• Dr.Ajeet Singh Poonia

Ensuring optimal and high-quality products throughout the Software Development Life Cycle (SDLC) is crucial in the highly competitive software development industry. Large-scale, complicated system management in dynamic contexts is still quite difficult, nevertheless. Using machine learning (ML) and artificial intelligence (AI) algorithms at every stage of the software development life cycle (SDLC) is a key strategy for overcoming this obstacle. The purpose of this paper is to clarify the crucial role that AI and ML play in software engineering, with a focus on how they might improve development outcomes and procedures. Organizations can improve their software development processes and more easily adjust to changing circumstances by implementing AI and ML approaches. The introduction and the role of AI and ML in the SDLC are covered in the first section, with the goal of improving software engineering output in the second. The third and fourth sections, respectively, cover techniques and strategies for machine learning and artificial intelligence. In Section 5, there is an explanation of a comparison between algorithms for machine learning and artificial intelligence with varying parameters. In the sixth section, finally, conclude.

ArtificalIntellgence,MachineLearning,Cognitive Architectures,NLP,Modeling,Reinforcement Learning,SDLC, Neural Networks.

"IMPROVING SOFTWARE QUALITY USING AI & ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.e429-e433, September-2024, Available :http://www.jetir.org/papers/JETIR2409453.pdf

"IMPROVING SOFTWARE QUALITY USING AI & ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppe429-e433, September-2024, Available at : http://www.jetir.org/papers/JETIR2409453.pdf