Results 41 to 50 of about 198,133 (331)
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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Prediction of Defective Software Modules Using Class Imbalance Learning
Applied Computational Intelligence and Soft Computing, 2016 Software defect predictors are useful to maintain the high quality of software products effectively. The early prediction of defective software modules can help the software developers to allocate the available resources to deliver high quality software ...
Divya Tomar, Sonali Agarwal
doaj +1 more source
Hybrid Defect Prediction Model Based on Counterfactual Feature Optimization
Human-Centric Intelligent Systems, 2023 Software defect prediction is critical to ensuring software quality. Researchers have worked on building various defect prediction models to improve the performance of defect prediction.
Wei Zheng +5 more
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Cross-Project Defect Prediction Method Based on Manifold Feature Transformation
Future Internet, 2021 Traditional research methods in software defect prediction use part of the data in the same project to train the defect prediction model and predict the defect label of the remaining part of the data.
Yu Zhao, Yi Zhu, Qiao Yu, Xiaoying Chen
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Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
Cluster Computing, 2023 Software defects are a critical issue in software development that can lead to system failures and cause significant financial losses. Predicting software defects is a vital aspect of ensuring software quality.
N. A. A. Khleel, K. Nehéz
semanticscholar +1 more source
Cross-Project Defect Prediction Method Based on Instance Filtering and Transfer [PDF]
Jisuanji gongcheng, 2020 In cross-project software defect prediction,original datasets collected and labeled by humans are often corrupted by noisy,and large distribution differences exist between data of the source project and target project.To address the problem,this paper ...
FAN Guisheng, DIAO Xuyang, YU Huiqun, CHEN Liqiong
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, 2022 Cross-project defect prediction (CPDP), where data from different software projects are used to predict defects, has been proposed as a way to provide data for software projects that lack historical data.
MacDonell SG +3 more
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A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning
IEEE Access, 2023 In software engineering community, defect prediction is one the active domain. For the software’s success, it is essential to reduce the software engineering and data-mining gap.
Iqra Mehmood +7 more
semanticscholar +1 more source
A Review On Software Defects Prediction Methods
CoRR, 2020 Software quality is one of the essential aspects of a software. With increasing demand, software designs are becoming more complex, increasing the probability of software defects. Testers improve the quality of software by fixing defects. Hence the analysis of defects significantly improves software quality. The complexity of software also results in a
Mitt Shah, Nandit Pujara
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Mathematics, 2023 This research contributes an intelligent cloud-based software defect prediction system using data and decision-level machine learning fusion techniques. The proposed system detects the defective modules using a two-step prediction method.
Shabib Aftab +6 more
semanticscholar +1 more source