Paper Info
Title
Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment
Abstract
Context: In this study, a software optimal release time with cost-reliability criteria has been discussed in an imperfect debugging environment. Objective: The motive of this study is to model uncertainty involved in estimated parameters of the software reliability growth model (SRGM). Method: Initially the reliability parameters of SRGM are estimated using least square estimation (LSE). Considering the uncertainty involved in the estimated parameters due to human behavior being subjective in nature and the dynamism of the testing environment, the concept of fuzzy set theory is applicable in developing SRGM. Finally, using arithmetic operations on fuzzy numbers, the reliability and total software cost are calculated. Results: Various reliability measures have been computed at different levels of uncertainties, and a comparison has been made with the existing results reported in the literature. Conclusion: It is evident from the results that a better prediction of reliability measures, namely, software reliability and total software cost can be made under the fuzzy paradigm.
Year
DOI
Venue
2013
10.1016/j.infsof.2013.06.001
Information & Software Technology
Keywords
Field
DocType
software reliability growth model,fuzzy number,software optimal release time,software reliability,optimal release policy,reliability measure,imperfect debugging environment,total software cost,various reliability measure,estimated parameter,fuzzy paradigm,reliability parameter,testing,parameter estimation,fuzzy set theory
Dynamism,Data mining,Computer science,Fuzzy logic,Fuzzy set,Software,Software reliability testing,Estimation theory,Software quality,Fuzzy number,Reliability engineering
Journal
Volume
Issue
ISSN
55
11
0950-5849
Citations 
PageRank 
References 
5
0.49
63
Authors
3
Name
Order
Citations
PageRank
Bhoopendra Pachauri150.82
Ajay Kumar2205.28
Joydip Dhar33712.11