Results 21 to 30 of about 1,994,533 (253)
Personalized Defect Prediction [PDF]
, 2013 Academia and industry expend much effort to predict software defects. Researchers proposed many defect prediction algorithms and metrics. While previous defect prediction techniques often take the author of the code into consideration, none of these ...
Jiang, Tian
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Prediction of Cross Project Defects using Ensemble based Multinomial Classifier [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 BACKGROUND: The availability of defect related data of different projects leads to cross project defect prediction an open issue. Many studies have focused on analyzing and improving the performance of Cross project defect prediction.OBJECTIVE: The ...
Lipika Goel +3 more
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Investigating Automatic Static Analysis Results to Identify Quality Problems: an Inductive Study [PDF]
, 2012 Background: Automatic static analysis (ASA) tools examine source code to discover "issues", i.e. code patterns that are symptoms of bad programming practices and that can lead to defective behavior.
Nico Zazworka +13 more
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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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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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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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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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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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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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Defect Prediction Using Stylistic Metrics [PDF]
, 2022 Defect prediction is one of the most popular research topics due to its potential to minimize software quality assurance efforts. Existing approaches have examined defect prediction from various perspectives such as complexity and developer metrics ...
Kabir, Ahmedul, Yasir, Rafed Muhammad
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