SEffEst: Effort estimation in software projects using fuzzy logic and neural networks Articles uri icon

publication date

  • August 2012

start page

  • 679

end page

  • 699

issue

  • 4

volume

  • 5

International Standard Serial Number (ISSN)

  • 1875-6891

Electronic International Standard Serial Number (EISSN)

  • 1875-6883

abstract

  • Academia and practitioners confirm that software project effort prediction is crucial for an accurate software project management. However, software development effort estimation is uncertain by nature. Literature has developed methods to improve estimation correctness, using artificial intelligence techniques in many cases. Following this path, this paper presents SEffEst, a framework based on fuzzy logic and neural networks designed to increase effort estimation accuracy on software development projects. Trained using ISBSG data, SEffEst presents remarkable results in terms of prediction accuracy.

keywords

  • fuzzy logic; neural networks; software engineering; effort estimation.