TY - JOUR
T1 - Integration of Testing Effort Function into Delayed S-Shaped Software Reliability Growth Model with Imperfect Debugging — a Proposed Bokhari Model
AU - Mohammad Ubaidullah Bokhari
AU - Md. Ashraf Siddiqui
AU - Ahmad, Afaq
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2021/10/28
Y1 - 2021/10/28
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 soft-ware 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 reli-ability 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 param-eters by maximum likelihood estimation. Various software reliability growth mod-els 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 soft-ware 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 soft-ware 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 reli-ability 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 param-eters by maximum likelihood estimation. Various software reliability growth mod-els 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 soft-ware 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
SP - 1
EP - 23
JO - Operations Research Forum
JF - Operations Research Forum
IS - 4
M1 - 56
ER -