AI Techniques for Software Engineering: Current Trends and Future Prospects

EasyChair Preprint no. 12077

Abstract

Artificial Intelligence (AI) techniques have become increasingly prevalent in various domains, and their application in software engineering has garnered significant attention in recent years. This paper provides an overview of the current trends and future prospects of AI techniques in software engineering. The paper begins by discussing the foundational concepts of AI and its relevance to software engineering, highlighting key AI techniques such as machine learning, natural language processing, and evolutionary algorithms. It then examines the current state of AI integration in software engineering practices, including requirements engineering, software design, testing, and maintenance.

Keyphrases: (AI), Artificial, intelligence

@Booklet{EasyChair:12077,
  author = {Kurez Oroy and Chen Liu},
  title = {AI Techniques for Software Engineering: Current Trends and Future Prospects},
  howpublished = {EasyChair Preprint no. 12077},

  year = {EasyChair, 2024}}