Results 21 to 30 of about 155,165 (287)
Continuous Defect Prediction: The Idea and a Related Dataset [PDF]
, 2017 We would like to present the idea of our Continuous Defect Prediction (CDP) research and a related dataset that we created and share. Our dataset is currently a set of more than 11 million data rows, representing files involved in Continuous Integration (
Kawalerowicz, Marcin, Madeyski, Lech
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Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering
IET Software, 2023 Just‐In‐Time (JIT) defect prediction aims to predict the defect proneness of software changes when they are initially submitted. It has become a hot topic in software defect prediction due to its timely manner and traceability.
Huan Zhang +4 more
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An Empirical analysis of Open Source Software Defects data through Software Reliability Growth Models [PDF]
, 2013 The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) using Software Reliability Growth Models (SRGM). This study uses defects data of twenty five different releases of five OSS projects.
Morisio, Maurizio, Ullah, Najeeb
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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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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
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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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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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Software defect prediction using Bayesian networks [PDF]
Empirical Software Engineering, 2012 There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics that are most important and focus on them more to predict defectiveness.
Okutan, Ahmet, Yıldız, Olcay Taner
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, 2021 Defects are common in software systems and can potentially cause various problems to software users, as software systems are getting larger and more complex, more defects can occur. Despite meticulous planning, well documentation and proper process control during software development, occurrences of a certain defects are inevitable.
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Bottlenecks in Software Defect Prediction Implementation in Industrial Projects
Foundations of Computing and Decision Sciences, 2015 Case studies focused on software defect prediction in real, industrial software development projects are extremely rare. We report on dedicated R&D project established in cooperation between Wroclaw University of Technology and one of the leading ...
Hryszko Jarosław, Madeyski Lech
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