Open AccessNew non‐homogeneous Poisson process software reliability model based on a 3‐parameter S‐shaped function
Author(s) -
Nguyen HungCuong,
Huynh QuyetThang
Publication year - 2022
Publication title -
iet software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.305
H-Index - 43
eISSN - 1751-8814
pISSN - 1751-8806
DOI - 10.1049/sfw2.12055
Subject(s) - reliability (semiconductor) , computer science , function (biology) , process (computing) , software quality , software , reliability engineering , usability , software development , engineering , programming language , power (physics) , physics , quantum mechanics , human–computer interaction , evolutionary biology , biology
Software reliability modelling is the mathematical technique used to evaluate the reliability of a software system. The non‐homogeneous Poisson process is a prominent approach in this field. More than half of the models in this group are based on S‐shaped functions, primarily the 2‐parameter S‐shaped function. This paper proposes a new model based on the 3‐parameter S‐shaped function, which is an expanded form of the 2‐parameter S‐shaped function obtained by adding a growth rate controller. Real data from industrial software development projects are used to verify the usability of the proposed model. The proposed model is shown to perform better than the existing models, especially with respect to the predictive performance. Furthermore, the rate of convergence of the proposed model is acceptable, with a rate of 76.47%.