Results 1 to 10 of about 155,165 (287)

A general software defect-proneness prediction framework [PDF]

open access: yesIEEE Transactions on Software Engineering, 2011
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted.
Jia, Z   +4 more
core   +6 more sources

Software Defect Prediction Framework Using Hybrid Software Metric

open access: yesJOIV: International Journal on Informatics Visualization, 2022
Software fault prediction is widely used in the software development industry. Moreover, software development has accelerated significantly during this epidemic.
Amirul Zaim   +4 more
doaj   +2 more sources

Software defect prediction: do different classifiers find the same defects? [PDF]

open access: yesSoftware Quality Journal, 2017
Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium ...
AT Mısırlı   +33 more
core   +6 more sources

Software defect prediction based on association rule classification. [PDF]

open access: yesProceedings of the 2010 International Conference on E-Business Intelligence, 2010
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task.
Baesens, Bart   +3 more
core   +4 more sources

Software Defect Prediction with Bayesian Approaches

open access: yesMathematics, 2023
Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
María José Hernández-Molinos   +4 more
doaj   +2 more sources

On Software Defect Prediction Using Machine Learning

open access: yesJournal of Applied Mathematics, 2014
This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction.
Jinsheng Ren   +3 more
doaj   +4 more sources

Cross-Project Defect Prediction: A Literature Review

open access: yesIEEE 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
doaj   +1 more source

An Empirical Study on Software Defect Prediction Using CodeBERT Model

open access: yesApplied Sciences, 2021
Deep learning-based software defect prediction has been popular these days. Recently, the publishing of the CodeBERT model has made it possible to perform many software engineering tasks.
Cong Pan, Minyan Lu, Biao Xu
doaj   +1 more source

Multi-view learning for software defect prediction [PDF]

open access: yese-Informatica Software Engineering Journal, 2021
Background: Traditionally, machine learning algorithms have been simply applied for software defect prediction by considering single-view data, meaning the input data contains a single feature vector.
Elife Ozturk Kiyak   +2 more
doaj   +1 more source

Software defect prediction via LSTM [PDF]

open access: yesIET Software, 2020
Software quality plays an important role in the software lifecycle. Traditional software defect prediction approaches mainly focused on using hand‐crafted features to detect defects. However, like human languages, programming languages contain rich semantic and structural information, and the cause of defective code is closely related to its context ...
Jiehan Deng, Lu Lu, Shaojian Qiu
openaire   +1 more source

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