Integrating function point project information for improving the accuracy of effort estimation

Faheem Ahmed, Salah Bouktif, Adel Serhani, Issa Khalil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Software organizations are putting efforts to improve the accuracy of the project cost estimation. This in turn helps them to allocate resources. Software cost estimation has been an area of key interest in software engineering community. Many estimation models divided among various categories have been proposed over a period of time. Function Point (FP) is one of the useful software cost estimation methodology that was first proposed twenty-five years ago using the project repository that contained information about various aspects of software project. In the last twenty five years software development productivity has grown rapidly but the complexity weight metrics values assigned to count standard FP still remain same. This fact raises critical questions about the validity of the complexity weight values and accuracy of the estimation process. The objective of this work is to present a genetic algorithm based approach to calibrate the complexity weight metrics of FP using the project repository of International Software Benchmarking Standards Group (ISBSG) dataset. The contribution of this work shows that information reuse and integration of past project's function-point structural elements improves the accuracy of software estimation process.

Original languageEnglish
Title of host publicationProceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008
Pages193-198
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008 - Valencia, Spain
Duration: 29 Sep 20084 Oct 2008

Other

Other2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008
CountrySpain
CityValencia
Period29/9/084/10/08

Fingerprint

Software engineering
Costs
Benchmarking
Genetic algorithms
Productivity

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Ahmed, F., Bouktif, S., Serhani, A., & Khalil, I. (2008). Integrating function point project information for improving the accuracy of effort estimation. In Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008 (pp. 193-198). [4641017] https://doi.org/10.1109/ADVCOMP.2008.42

Integrating function point project information for improving the accuracy of effort estimation. / Ahmed, Faheem; Bouktif, Salah; Serhani, Adel; Khalil, Issa.

Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008. 2008. p. 193-198 4641017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahmed, F, Bouktif, S, Serhani, A & Khalil, I 2008, Integrating function point project information for improving the accuracy of effort estimation. in Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008., 4641017, pp. 193-198, 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008, Valencia, Spain, 29/9/08. https://doi.org/10.1109/ADVCOMP.2008.42
Ahmed F, Bouktif S, Serhani A, Khalil I. Integrating function point project information for improving the accuracy of effort estimation. In Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008. 2008. p. 193-198. 4641017 https://doi.org/10.1109/ADVCOMP.2008.42
Ahmed, Faheem ; Bouktif, Salah ; Serhani, Adel ; Khalil, Issa. / Integrating function point project information for improving the accuracy of effort estimation. Proceedings - The 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2008. 2008. pp. 193-198
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