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Vovel metrics—novel coupling metrics for improved software fault prediction [PDF]
PeerJ Computer Science, 2021 Software is a complex entity, and its development needs careful planning and a high amount of time and cost. To assess quality of program, software measures are very helpful.
Rizwan Muhammad +2 more
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Exclusive use and evaluation of inheritance metrics viability in software fault prediction—an experimental study [PDF]
PeerJ Computer Science, 2021 Software Fault Prediction (SFP) assists in the identification of faulty classes, and software metrics provide us with a mechanism for this purpose. Besides others, metrics addressing inheritance in Object-Oriented (OO) are important as these measure ...
Syed Rashid Aziz +2 more
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Fault Persistency and Fault Prediction in Optimization of Software Release [PDF]
International Journal of Information Technology and Computer Science, 2013 This article serves two purposes: firstly, it presents an innovative methodology that increases the accuracy of fault prediction measurements. This method is based on the novel concept of "fault persistency", which enables to correct prediction metrics with a weighted value related to the module's history.
Maurizio Pighin, Anna Marzona
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Software Fault-Freeness and Reliability Predictions [PDF]
, 2013 Many software development practices aim at ensuring that software is correct, or fault-free. In safety critical applications, requirements are in terms of probabilities of certain behaviours, e.g. as associated to the Safety Integrity Levels of IEC 61508.
Lorenzo Strigini, Andrey Povyakalo
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The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction
IEEE Access, 2018 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.
Ali Arshad +3 more
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Rough Noise-Filtered Easy Ensemble for Software Fault Prediction
IEEE Access, 2018 Software fault prediction is the very important research topic for software quality assurance. Data-driven approaches provide robust mechanisms to deal with software fault prediction. However, the prediction performance of the model highly depends on the
Saman Riaz, Ali Arshad, Licheng Jiao
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Software Metrics Reduction for Fault-Proneness Prediction of Software Modules [PDF]
, 2010 It would be valuable to use metrics to identify the fault-proneness of software modules. However, few research works are on how to select appropriate metrics for fault-proneness prediction currently. We conduct a large-scale comparative experiment of nine different software metrics reduction methods over eleven public-domain data sets from the NASA ...
Yunfeng Luo, Kerong Ben, Lei Mi
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A comparative study of deep learning techniques in software fault prediction
Tạp chí Khoa học và Công nghệSoftware fault prediction (SFP) is an important approach in software engineering that ensures software quality and reliability. Prediction of software faults helps developers identify faulty components in software systems.
Ha Thi Minh Phuong +2 more
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Applying Machine Learning to Software Fault Prediction [PDF]
e-Informatica Software Engineering Journal, 2018 Introduction: Software engineering continuously suffers from inadequate software testing. The automated prediction of possibly faulty fragments of source code allows developers to focus development efforts on fault-prone fragments first. Fault prediction
Bartłomiej Wójcicki, Robert Dąbrowski
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Software Fault Prediction using Language Processing [PDF]
Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007), 2007 Accurate prediction of faulty modules reduces the cost of software development and evolution. Two case studies with a language-processing based fault prediction measure are presented. The measure, refereed to as a QALP score, makes use of techniques from information retrieval to judge software quality.
David Binkley +3 more
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