Future Trends and Emerging Technologies in AI for Software Development Life Cycle Optimization

EasyChair Preprint no. 12602

Abstract

As Artificial Intelligence (AI) continues to advance, it brings forth transformative opportunities for optimizing various aspects of the software development life cycle (SDLC). This research paper explores future trends and emerging technologies in AI that have the potential to revolutionize SDLC optimization. It investigates cutting-edge AI techniques, such as machine learning, natural language processing, and robotic process automation, and their applications across different phases of the SDLC. Furthermore, the paper discusses the implications of these advancements, identifies challenges, and provides insights into the future landscape of AI-driven SDLC optimization.

Keyphrases: Artificial Intelligence (AI), emerging technologies, Future Trends, Optimization, Software Development Life Cycle (SDLC)

@Booklet{EasyChair:12602,
  author = {Zhenzhong Yu and Jane Smith},
  title = {Future Trends and Emerging Technologies in AI for Software Development Life Cycle Optimization},
  howpublished = {EasyChair Preprint no. 12602},

  year = {EasyChair, 2024}}