Paper Info
Title
A fuzzy group analytical hierarchy process approach for software quality assurance management: Fuzzy logarithmic least squares method
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.
Year
DOI
Venue
2011
10.1016/j.eswa.2011.02.057
Expert Syst. Appl.
Keywords
Field
DocType
integrated fuzzy scores,software quality attribute,software quality assurance management,software quality assurance,decision analysis,group integrated fuzzy score,fuzzy logarithmic,software quality,fuzzy group analytical hierarchy,squares method,various expert,fuzzy synthesis programming,fuzzy number,fuzzy prioritization programming,software project evaluation,analytical hierarchy process approach,software engineering,modified fuzzy llsm,fuzzy group analytical hierarchy process (ahp),fuzzy group,analytic hierarchy process,internal standard,least square method,project evaluation,rating scale
Least squares,Decision analysis,Data mining,Computer science,Fuzzy logic,Software,Software quality assurance,Artificial intelligence,Software quality,Fuzzy number,Analytic hierarchy process,Machine learning
Journal
Volume
Issue
ISSN
38
8
Expert Systems With Applications
Citations 
PageRank 
References 
8
0.50
14
Authors
2
Name
Order
Citations
PageRank
Kevin Kam Fung Yuen110614.67
Henry C. W. Lau230133.27