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DC-SRGM: Deep Cross-Project Software Reliability Growth Model

2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019
Previous studies have suggested that software reliability growth models (SRGMs) for cross-project predictions are more practical for ongoing development projects. Several software reliability growth models (SRGMs) have been proposed based on various factors to measure the reliability and are helpful to indicate the number of remaining defects before ...
Kyawt Kyawt San   +5 more
openaire   +4 more sources

A robust weighted SVR-based software reliability growth model [PDF]

open access: yesReliability Engineering and System Safety, 2018
This paper proposes a new software reliability growth model (SRGM), which can be regarded as an extension of the non-parametric SRGMs using support vector regression to predict probability measures of time to software failure.
Lev V Utkin, Frank Coolen
exaly   +2 more sources

Software Reliability Growth Model (SRGM) with Imperfect Debugging, Fault Reduction Factor and Multiple Change-Point

2012
Reliability engineering plays an important role to improve the software quality. Before delivering the software in the market, it is thoroughly checked and errors are removed. Software reliability growth models help the software industries to develop such software which is error free and reliable.
Madhu Jain 0001   +2 more
openaire   +2 more sources

Deep-Learning Software Reliability Model Using SRGM as Activation Function

Applied Sciences (Switzerland), 2023
Hoang Pham, In Hong Chang, Youn Su Kim
exaly  

Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs

2024 IEEE 24th International Conference on Software Quality, Reliability and Security (QRS)
Taehyoun Kim, Duksan Ryu, Jongmoon Baik
openaire   +1 more source

Multi-upgradation software reliability growth model with dependency of faults under change point and imperfect debugging

Journal of Software: Evolution and Process, 2021
Subhashis Chatterjee, Deepjyoti Saha
exaly  

An Artificial Neural-Network Approach to Software Reliability Growth Modeling

Procedia Computer Science, 2015
Indhurani Lakshmanan, Subburaj Ramasamy
exaly  

Flexible software reliability growth model with testing effort dependent learning process

Applied Mathematical Modelling, 2008
Ompal Singh, P K Kapur
exaly  

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