A fuzzy group analytical hierarchy process approach for software quality assurance management : fuzzy logarithmic least squares method

Kevin Kam Fung Yuen, Henry C. W. Lau

    Research output: Contribution to journalArticlepeer-review

    46 Citations (Scopus)

    Abstract

    This paper proposes a Fuzzy Group Analytical Hierarchy Process approach for assessing the quality of software, with judgments by a group of experts at different levels. The international standard of software quality attributes, ISO/IEC9126-1:2001 which comprises of 6 criteria with 27 subcriteria, is applied as the attributes of software quality. Regarding the prioritization method, the modified fuzzy Logarithmic Least Squares Method (LLSM) is applied to derive the importance weight vectors. The Fuzzy Prioritization Programming for Direct Rating Scales (FPP-DRS) on the basis of the modified fuzzy LLSM and the rescaling functions is proposed to design the direct rating scales in fuzzy number. The Fuzzy Synthesis Programming for Absolute Measurement (FSPAM) including Integrated Fuzzy Scores of Individual Expert (IFSIE) and Group Integrated Fuzzy Score (GIFS) is proposed to aggregate the criteria values from various experts. The proposed approach can help a group of various experts including developers, testers and purchasers, to measure the level of the software quality of the in-house development or the third party development.
    Original languageEnglish
    Pages (from-to)10292-10302
    Number of pages11
    JournalExpert Systems with Applications
    Volume38
    Issue number8
    DOIs
    Publication statusPublished - 2011

    Fingerprint

    Dive into the research topics of 'A fuzzy group analytical hierarchy process approach for software quality assurance management : fuzzy logarithmic least squares method'. Together they form a unique fingerprint.

    Cite this