Modeling optimal release policy under fuzzy paradigm in imperfect debugging environment

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. (C) 2013 Elsevier B.V. All rights reserved.