Results 51 to 60 of about 198,133 (331)
Poster: Bridging effort-Aware prediction and strong classification: A just-in-Time software defect prediction study [PDF]
, 2018 Context: Most research into software defect prediction ignores the differing amount of effort entailed in searching for defects between software components. The result is sub-optimal solutions in terms of allocating testing resources.
Li, N +5 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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, 2021 Kumar, Dr Sandeep/0000-0003-0747-6776; Kumar, Sandeep/0000-0002-3250-4866; Mishra, Alok/0000-0003-1275-2050; Kumar, Sandeep/0000-0001-9633-407XThe early and accurate prediction of defects helps in testing software and therefore leads to an overall higher-
Gangwar, Arvind Kumar +3 more
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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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A novel kernel to predict software defectiveness
Journal of Systems and Software, 2016 We propose new kernels for defect prediction that are based on the source code similarity.We model the relationship between source code similarity and defectiveness.The precomputed kernels are used with SVM and KNN classifiers.The proposed technique performs better than the SVM with linear kernel.It also achieves comparable performance when compared to
Ahmet Okutan, Olcay Taner Yildiz
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, 2022 We study the impact of imprecision in defect prediction on the bug detection effectiveness of search-based software testing (SBST). This package is created to support the research community to extend, reproduce and replicate our study in the future.
Anjana Perera (11379750) +3 more
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Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review
IEEE Access, 2021 Recent advances in the domain of software defect prediction (SDP) include the integration of multiple classification techniques to create an ensemble or hybrid approach.
F. Matloob +7 more
semanticscholar +1 more source
An attribute selection process for software defect prediction
, 2014 In software quality research, software defect prediction is a key topic. The characteristics of software attributes influences the performance and effectiveness of the defect prediction model.
Siddik, Md.S. +5 more
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The impact of using biased performance metrics on software defect prediction research [PDF]
, 2021 The article archived on this institutional repository is the accepted manuscript [v4], made available at arXiv:2103.10201v4 [cs.SE], https://arxiv.org/abs/2103.10201v4 under a CC BY-NC-SA license on Tue, 22 Jun 2021 09:50:19 UTC (3,233 KB).
Shepperd, M, Yao, J
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