Results 11 to 20 of about 11,335 (296)
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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Evaluation of Classifiers in Software Fault-Proneness Prediction [PDF]
Journal of Artificial Intelligence and Data Mining, 2017 Reliability of software counts on its fault-prone modules. This means that the less software consists of fault-prone units the more we may trust it. Therefore, if we are able to predict the number of fault-prone modules of software, it will be possible ...
F. Karimian, S. M. Babamir
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A novel deep neural network structure for software fault prediction [PDF]
PeerJ Computer ScienceSoftware fault prediction is crucial to compute the potential occurrence of faults within the software components, before code testing or execution.
Mehrasa Modanlou Jouybari +3 more
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Software mining and fault prediction
WIREs Data Mining and Knowledge Discovery, 2012 AbstractMining software repositories (MSRs) such as source control repositories, bug repositories, deployment logs, and code repositories provide useful patterns for practitioners. Instead of using these repositories as record‐keeping ones, we need to transform them into active repositories that can guide the decision processes inside the company.
Çatal, Çağatay
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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.
PIGHIN, Maurizio, MARZONA, Anna
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Software Metrics Reduction for Fault-Proneness Prediction of Software Modules
, 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, Ben Kerong, Lei Mi
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Software fault prediction of unlabeled program modules
, 2009 Software metrics and fault data belonging to a previous software version are used to build the software fault prediction model for the next release of the software. Until now, different classification algorithms have been used to build this kind of models. However, there are cases when previous fault data are not present; and hence, supervised learning
Catal, C., Sevim, U., Diri, B.
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Cross-Project Defect Prediction: A Literature Review
IEEE Access, 2022 Background: Software defect prediction models aim at identifying the potential faulty modules of a software project based on historical data collected from previous versions of the same project.
Sourabh Pal, Alberto Sillitti
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Explaining software fault predictions to spreadsheet users
Journal of Systems and Software, 2022 A variety of automated software fault prediction techniques was proposed in recent years, in particular for the important class of spreadsheet programs. Software fault prediction techniques commonly create ranked lists of "suspicious'' program statements for developers to inspect.
Adil Mukhtar +3 more
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