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

EasyChair Preprint 12076

7 pagesDate: February 12, 2024

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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@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}}
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