Results 21 to 30 of about 78,918 (265)
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction
Journal of Intelligent Systems, 2014 Predicting the defect-prone modules when the previous defect labels of modules are limited is a challenging problem encountered in the software industry. Supervised classification approaches cannot build high-performance prediction models with few defect
Catal Cagatay
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Methodological Assessment of Data Suitability for Defect Prediction
Kvalita Inovácia Prosperita, 2020 Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.
Peter Schlegel +3 more
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An Empirical Study on Software Defect Prediction Using CodeBERT Model
Applied 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
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Causally Remove Negative Confound Effects of Size Metric for Software Defect Prediction
Applied Sciences, 2022 Software defect prediction technology can effectively detect potential defects in the software system. The most common method is to establish machine learning models based on software metrics for prediction.
Chenlong Li, Yuyu Yuan, Jincui Yang
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Feature-oriented defect prediction
Proceedings of the 24th ACM Conference on Systems and Software Product Line: Volume A - Volume A, 2020 Software errors are a major nuisance in software development and can lead not only to reputation damages, but also to considerable financial losses for companies. Therefore, numerous techniques for predicting software defects, largely based on machine learning methods, have been developed over the past decades. These techniques usually rely on code and
Strüder, S. +3 more
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Code Smells Thresholds Optimization: Defect Prediction as a Case Study
AlgorithmsIn software engineering, detecting and managing code smells are pivotal for maintaining software quality and reducing the risk of defects. Code smells signify potential issues in code that, while not problematic in themselves, may indicate deeper design ...
Tom Mashiach, Gilad Katz, Meir Kalech
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Metals, 2018 There is currently a need for an efficient numerical optimization strategy for the quality of friction stir welded (FSW) joints. However, due to the computational complexity of the multi-physics problem, process parameter optimization has been a goal ...
Kirk Fraser +3 more
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Software fault prediction based on change metrics using hybrid algorithms: An empirical study
Journal of King Saud University: Computer and Information Sciences, 2020 Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and ...
Wasiur Rhmann +3 more
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IEEE Access, 2023 Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir +6 more
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Subgroup Discovery for Defect Prediction [PDF]
, 2011 Ministerio de Educación y Ciencia TIN 2007-68084 ...
Rodríguez García, Daniel +3 more
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