Results 31 to 40 of about 155,165 (287)
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.
Seaman, C. +4 more
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Research and Appalication of Software Defect Predictionn based on BP-Migration learning
MATEC Web of Conferences, 2018 Software Defect Prediction has been an important part of Software engineering research since the 1970s. This technique is used to calculate and analyze the measurement and defect information of the historical software module to complete the defect ...
Zhang Jie +4 more
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Inteligencia Artificial, 2021 The ongoing development of computer systems requires massive software projects. Running the components of these huge projects for testing purposes might be a costly process; therefore, parameter estimation can be used instead.
Mohammad Alshayeb +1 more
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A study of subgroup discovery approaches for defect prediction [PDF]
, 2013 Context: Although many papers have been published on software defect prediction techniques, machine learning approaches have yet to be fully explored.
Harrison, Rachel +3 more
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Cost Effectiveness of Software Defect Prediction in an Industrial Project
Foundations of Computing and Decision Sciences, 2018 Software defect prediction is a promising approach aiming to increase software quality and, as a result, development pace. Unfortunately, the cost effectiveness of software defect prediction in industrial settings is not eagerly shared by the pioneering ...
Hryszko Jaroslaw, Madeyski Lech
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An empirical investigation of an object-oriented software system [PDF]
, 2000 This is the post print version of the article. The official published version can be obtained from the link below.This paper describes an empirical investigation into an industrial object-oriented (OO) system comprised of 133,000 lines of C++. The system
Cartwright, MH, Shepperd, M
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Software Defect Density Prediction Using Deep Learning
IEEE Access, 2022 Delivering a reliable and high-quality software system to client is a big challenge in software development and evolution process. One of the software measures that confirm the quality of the system is the defect density.
Firas Alghanim +3 more
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Integrated Approach to Software Defect Prediction
IEEE Access, 2017 Software defect prediction provides actionable outputs to software teams while contributing to industrial success. Empirical studies have been conducted on software defect prediction for both cross-project and within-project defect prediction.
Ebubeogu Amarachukwu Felix, Sai Peck Lee
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Connecting Software Metrics across Versions to Predict Defects
, 2017 Accurate software defect prediction could help software practitioners allocate test resources to defect-prone modules effectively and efficiently. In the last decades, much effort has been devoted to build accurate defect prediction models, including ...
Guo, Jianbo +4 more
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SystemsSoftware defect prediction is becoming key for software quality assurance. Traditional software defect prediction approaches have predominantly focused on analyzing code-level metrics, often overlooking valuable information available during the ...
Hanan Helwa, Adel Taweel
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