Early effort estimation for quality requirements by AHP

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

Abstract

The increased awareness of the quality requirements as a key to software project and product success makes explicit the need to include them in any software project effort estimation activity. However, the existing approaches to defining size-based effort relationships still pay insufficient attention to this need. Furthermore, existing functional size measurement methods still remain unpopular in industry. In this paper, we propose the usage of the Analytic Hierarchy Process (AHP) technique in the effort estimation for quality requirements. The paper demonstrates the applicability of the approach through a case study.

Original languageEnglish (US)
Title of host publicationComputational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
PublisherSpringer Verlag
Pages106-118
Number of pages13
EditionPART 5
ISBN (Print)9783319091556
DOIs
Publication statusPublished - Jan 1 2014
Event14th International Conference on Computational Science and Its Applications, ICCSA 2014 - Guimaraes, Portugal
Duration: Jun 30 2014Jul 3 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 5
Volume8583 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Computational Science and Its Applications, ICCSA 2014
CountryPortugal
CityGuimaraes
Period6/30/147/3/14

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kassab, M. (2014). Early effort estimation for quality requirements by AHP. In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings (PART 5 ed., pp. 106-118). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8583 LNCS, No. PART 5). Springer Verlag. https://doi.org/10.1007/978-3-319-09156-3_8