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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01935-6
Abstract: Previously, many researchers have performed analysis of various techniques for the software fault prediction (SFP). Oddly, the majority of such studies have shown the limited prediction capability and their performance for given software fault datasets…
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Keywords:
ensemble techniques;
fault;
techniques software;
software fault ... See more keywords
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Published in 2017 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-017-0295-0
Abstract: Software engineers have limited resources and need metrics analysis tools to investigate software quality such as fault-proneness of modules. There are a large number of software metrics available to investigate quality. However, not all metrics…
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Keywords:
roc analysis;
analysis;
software fault;
software ... See more keywords
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Published in 2017 at "Wuhan University Journal of Natural Sciences"
DOI: 10.1007/s11859-017-1245-2
Abstract: Software fault positioning is one of the most effective activities in program debugging. In this paper, we propose a model-based fault positioning method to detect the faults of embedded program without source code. The system…
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Keywords:
fault;
program;
model;
software fault ... See more keywords
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Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.01.015
Abstract: Abstract This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP problem is one of the well-known software engineering problems…
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Keywords:
salp swarm;
problem;
software fault;
prediction ... See more keywords
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Published in 2020 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2020.1721641
Abstract: Abstract In software fault prediction, before beginning with the real software testing process, faultprone software modules are identified with the help of various properties related to the software project. This leads to the achievement of…
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Keywords:
factor analysis;
software fault;
fault prediction;
software ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2835304
Abstract: Software fault prediction is a consequential research area in software quality promise. In this paper, we propose a semi-supervised deep fuzzy C-mean (DFCM) clustering for software fault prediction, which is the cumulation of semi-supervised DFCM…
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Keywords:
fault prediction;
semi supervised;
software fault;
prediction ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2866082
Abstract: Software fault prediction is a very consequent research topic for software quality assurance. The performance of fault prediction model depends on the features that are used to train it. Redundant and irrelevant features can hinder…
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Keywords:
fault prediction;
software fault;
performance;
prediction ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3022087
Abstract: Software fault prediction (SFP) is a research area that helps development and testing process deliver software of good quality. Software metrics are of various types and are used in SFP for measurements. Inheritance is a…
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Keywords:
software fault;
fault prediction;
inheritance;
software ... See more keywords
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Published in 2020 at "IEEE Communications Standards Magazine"
DOI: 10.1109/mcomstd.001.2000012
Abstract: The probability of the occurrence of faults increases manifolds when program lines of code exceed a few thousand in ubiquitous applications. Fault mitigation in ubiquitous applications, such as those of autonomous vehicular technologies (VTs), has…
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Keywords:
sft;
software fault;
framework;
sft techniques ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3151125
Abstract: Software fault prediction models help the software quality assurance team to manage the resources optimally during software maintenance. Most of the recently proposed fault prediction approaches are helpful on labeled datasets only. Recently, several threshold-based…
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Keywords:
software;
fault prediction;
approach;
software fault ... See more keywords
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Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3158949
Abstract: Imbalanced software fault datasets, having fewer faulty modules than the nonfaulty modules, make accurate fault prediction difficult. It is challenging for software practitioners to handle imbalanced fault data during software fault prediction (SFP). Earlier, several…
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Keywords:
software fault;
prediction;
fault;
oversampling methods ... See more keywords