Results 51 to 60 of about 9,202 (166)
A systematic review of software fault prediction studies
Expert Systems with Applications, 2009 This paper provides a systematic review of previous software fault prediction studies with a specific focus on metrics, methods, and datasets. The review uses 74 software fault prediction papers in 11 journals and several conference proceedings. According to the review results, the usage percentage of public datasets increased significantly and the ...
Catal, Cagatay, Diri, Banu
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IEEE AccessSoftware Defect Prediction (SDP) reduces the overall cost of software development by identifying the code at a higher risk of defects at the initial phase of software development.
Sadia Sahar +3 more
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A Combined-Learning Based Framework for Improved Software Fault Prediction
International Journal of Computational Intelligence Systems, 2017 Software Fault Prediction (SFP) is found to be vital to predict the fault-proneness of software modules, which allows software engineers to focus development activities on fault-prone modules, thereby prioritize and optimize tests, improve software ...
Chubato Wondaferaw Yohannese, Tianrui Li
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Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction
IEEE Access, 2018 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 ...
Ali Arshad +3 more
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Fault Predictions in Object Oriented Software
, 2009 The dynamic software development organizations optimize the usage of resources to deliver the products in the specified time with the fulfilled requirements. This requires prevention or repairing of the faults as quick as possible. In this paper an approach for predicting the run-time errors in java is introduced. The paper is concerned with faults due
Bremananth, R, Thushara, R
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Boosting Software Fault Prediction Accuracy with Ensemble Learning
Engineering ProceedingsSoftware defects are natural quality characteristics of software that are difficult to eliminate completely, even with concerted efforts. In addition to Bayes Net, in this study, C4.5 Decision Tree, Multilayer Perceptron (MLP), and Random Forests (RFs ...
Ashu Mehta, Isha Batra, Anggun Fergina
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Effort-Aware Fault-Proneness Prediction Using Non-API-Based Package-Modularization Metrics
MathematicsSource code complexity of legacy object-oriented (OO) software has a trickle-down effect over the key activities of software development and maintenance. Package-based OO design is widely believed to be an effective modularization. Recently, theories and
Mohsin Shaikh +3 more
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Evaluating the effectiveness of decomposed Halstead Metrics in software fault prediction. [PDF]
PeerJ Comput Sci, 2023 Khan B, Nadeem A.
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OPTIMIZING SOFTWARE DEFECT PREDICTION USING A HYBRID NEURAL NETWORK WITH WEIGHTED MODIFIED CUCKOO SEARCH [PDF]
Proceedings on Engineering SciencesFlaws significantly impact the quality, dependability, and maintenance of software. Discovering flaws before they appear in production environments is possible using data mining and classification algorithms.
Devi Priya Gottumukkala +2 more
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Tạp chí Khoa học và Công nghệSoftware fault prediction focuses on identifying software modules that are most likely to contain faults before the testing stage, helping developers allocate quality assurance resources effectively and improve system reliability.
Ha Thi Minh Phuong +3 more
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