A software reliability growth model for imperfect debugging

YS Huang, KC Chiu, WM Chen - Journal of Systems and Software, 2022 - Elsevier
In general, software reliability growth models (SRGMs) are often developed based on the
assumptions of perfect debugging, single error type, and consistent testing environment …

[HTML][HTML] NHPP software reliability model considering the uncertainty of operating environments with imperfect debugging and testing coverage

Q Li, H Pham - Applied Mathematical Modelling, 2017 - Elsevier
In this paper, we propose a testing-coverage software reliability model that considers not
only the imperfect debugging (ID) but also the uncertainty of operating environments based …

A generalized software reliability growth model with consideration of the uncertainty of operating environments

Q Li, H Pham - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes a generalized model to cover imperfect debugging and the uncertainty
of the operating environment and its effect on fault detection rate into software reliability …

The exponentiated Weibull distribution: a survey

S Nadarajah, GM Cordeiro, EMM Ortega - Statistical Papers, 2013 - Springer
A review is given of the exponentiated Weibull distribution, the first generalization of the two-
parameter Weibull distribution to accommodate nonmonotone hazard rates. The properties …

Survey of software reliability growth model

张策, 孟凡超, 考永贵, 吕为工, 刘宏伟, 万锟… - Journal of Software, 2017 - jos.org.cn
软件可靠性增长模型 SRGM (software reliability and growth model) 是目前建模可靠性及其
过程提高的重要数学工具, 对可靠性的评测, 保证以及测试资源管控和最优发布研究具有重要 …

[PDF][PDF] Derivation of inflection points of nonlinear regression curves-implications to statistics

AT Goshu, PR Koya - … Journal of Theoretical and Applied Statistics, 2013 - researchgate.net
In this paper, we derive inflection points for the commonly known growth curves, namely,
generalized logistic, Richards, Von Bertalanffy, Brody, logistic, Gompertz, generalized …

Effort based software reliability model with fault reduction factor, change point and imperfect debugging

S Khurshid, AK Shrivastava, J Iqbal - International Journal of Information …, 2021 - Springer
The growing need of software's in almost every sphere of life has increased the demand of
producing error free software's. But producing high quality software needs resources (effort …

Deep-Learning Software Reliability Model Using SRGM as Activation Function

YS Kim, H Pham, IH Chang - Applied Sciences, 2023 - mdpi.com
Software is widely used in various fields. There is no place where it is not used from the
smallest part to the entire part. In particular, the tendency to rely on software is accelerating …

Testing-Effort based NHPP Software Reliability Growth Model with Change-point Approach.

V Pradhan, J Dhar, A Kumar - Journal of Information Science …, 2022 - search.ebscohost.com
A software project managers can execute well-prepared research tasks to utilize associated
cost-effectively testing resources using software reliability growth models (SRGMs). Over the …

[PDF][PDF] Analysis of an inflection S-shaped software reliability model considering log-logistic testing-effort and imperfect debugging

N Ahmad, MGM Khan, LS Rafi - International Journal of Computer …, 2011 - academia.edu
Gokhale and Trivedi (1998) have proposed the Log-logistic software reliability growth model
that can capture the increasing/decreasing nature of the failure occurrence rate per fault. In …