TY - JOUR
T1 - Integration of Testing Effort Function into Delayed S-Shaped Software Reliability Growth Model with Imperfect Debugging — a Proposed Bokhari Model
AU - Bokhari, Mohammad Ubaidullah
AU - Siddiqui, Md Ashraf
AU - Ahmad, Afaq
N1 - Funding Information:
The authors would like to express their great appreciations and gratitude to their respective institutions, namely, Aligarh Muslim University, India and Sultan Qaboos University, Sultanate of Oman for providing research facilities, technical supports, and research environment that enabled us to complete this research task. The authors would like to thank the referees and editor for careful reading, editing, and providing highly constructive and competent comments that substantially helped in improving the quality of the paper.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2021/12
Y1 - 2021/12
N2 - Assurance of software reliability is an important factor in software applications, and the process of software testing has become one of the essential requirements in software development. Many software reliability growth models have been developed based on non-homogeneous Poisson process, which incorporates logistic testing effort function. The paper proposed and developed a delayed S-shaped software reliability growth model with imperfect debugging, which integrates the Burr Type XII testing effort function. The testing effort function parameters are estimated by least square estimation method and S-shaped software reliability growth model parameters by maximum likelihood estimation. Various software reliability growth models are investigated through three data sets under perfect debugging and one data set under imperfect debugging. It is found that the proposed delayed S-shaped software reliability growth model with imperfect debugging has a better error prediction capability.
AB - Assurance of software reliability is an important factor in software applications, and the process of software testing has become one of the essential requirements in software development. Many software reliability growth models have been developed based on non-homogeneous Poisson process, which incorporates logistic testing effort function. The paper proposed and developed a delayed S-shaped software reliability growth model with imperfect debugging, which integrates the Burr Type XII testing effort function. The testing effort function parameters are estimated by least square estimation method and S-shaped software reliability growth model parameters by maximum likelihood estimation. Various software reliability growth models are investigated through three data sets under perfect debugging and one data set under imperfect debugging. It is found that the proposed delayed S-shaped software reliability growth model with imperfect debugging has a better error prediction capability.
KW - Burr Type XII testing effort function
KW - Least square
KW - Maximum likelihood
KW - S-shaped software reliability growth model
KW - Software testing
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U2 - 10.1007/s43069-021-00105-9
DO - 10.1007/s43069-021-00105-9
M3 - Article
AN - SCOPUS:85126292067
SN - 2662-2556
VL - 2
JO - Operations Research Forum
JF - Operations Research Forum
IS - 4
M1 - 56
ER -