Abstract
We will discuss a Software Reliability Growth Model (SRGM) using fuzzy and imperfect debugging environments; we integrate Log-Logistic (LL) Testing Effort Function (TEF) into fuzzy SRGMs. Estimation methods, such as Least Square and Maximum Likelihood, are used to obtain the value of Testing-Effort and SRGMs parameters. It is not always possible and is constantly required to quantify the exact value of parameters. Due to human conduct, the value of Testing-Effort and SRGM parameters cannot be exactly quantified. In this scenario, parameters are supposed to be vague or fuzzy. To make the software consistent, the developer needs to propose some quantity of vagueness. Therefore, we propose a reliability growth model together with suspicions involved in parameters of SRGM under imperfect debugging using fuzzy theory. We calculate the entire cost of software development and reliability of proposed model using Triangular Fuzzy Number (TFN) for real data sets. Results obtained are compared with previous works from literature. It is shown the proposed SRGM with LL TEF give realistic extrapolation ability of software reliability and optimized entire software cost under fuzzy environment.
Recommended Citation
Rani, Seema; Kumar, Jitendra; and Ahmad, N.
(2024).
Fuzzy Software Reliability and Optimal Release Policy with Log-Logistic Testing Effort: An Analysis,
Applications and Applied Mathematics: An International Journal (AAM), Vol. 19,
Iss.
3, Article 5.
Available at:
https://digitalcommons.pvamu.edu/aam/vol19/iss3/5