AI in Software Development: Enhancing Planning, Project Effort Estimation, and Requirements Engineering

EasyChair Preprint 12076

Abstract

This abstract explores the transformative impact of AI on these critical areas of software development. In planning software development projects, AI-powered systems have been instrumental in assessing feasibility, estimating costs and resource requirements, identifying risks, and optimizing project schedules. By leveraging machine learning algorithms and knowledge-based systems, AI enables more accurate and efficient project planning, leading to improved outcomes and resource allocation. Natural language processing tools, knowledge-based systems, and computational intelligence techniques enable software engineers to disambiguate natural language requirements, develop knowledge-based models, and prioritize requirements based on their importance and impact.

Keyphrases: based, knowledge, systems

@booklet{EasyChair:12076,
  author    = {Kurez Oroy and Robert Thomas},
  title     = {AI in Software Development: Enhancing Planning, Project Effort Estimation, and Requirements Engineering},
  howpublished = {EasyChair Preprint 12076},
  year      = {EasyChair, 2024}}