Zobrazeno 1 - 10
of 37
pro vyhledávání: '"defect prediction model"'
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 366-380 (2023)
Abstract 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. Existing defect prediction models are mainly divided i
Externí odkaz:
https://doaj.org/article/e73072af407f4393b90ae048c0f9a047
Publikováno v:
IEEE Access, Vol 10, Pp 134580-134591 (2022)
In evaluating the performance of software defect prediction models, accuracy measures such as precision and recall are commonly used. However, most of these measures are affected by neg/pos ratio of the data set being predicted, where neg is the numb
Externí odkaz:
https://doaj.org/article/23ef7b0d08d140318a3d437c17f71c8f
Publikováno v:
International Journal of Computer Integrated Manufacturing. 36:155-168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5acac54dd367a4fbf40f1c82c77ce32
https://doi.org/10.1080/0951192x.2022.2081360
https://doi.org/10.1080/0951192x.2022.2081360
Autor:
Shittu Abubakar Sadiq
Detecting defects in software at the bleeding edge of a software development life cycle is vital. Identifying defects before the deployment of software aids in delivering high-quality products, and reduces development costs. Machine learning techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f62c53e22af0fec757342215e3b9f26
Akademický článek
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Assembly processes in low-volume productions, i.e., single-units or small-sized-lots, are often characterized by a high level of customization and complexity. As a consequence, the scarcity of historical data and the difficulty in applying standard s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc390830e01a3c3019a530e2d24e6f6
http://hdl.handle.net/11583/2832874
http://hdl.handle.net/11583/2832874
Autor:
G Palatse, Varsha
Publikováno v:
Perspectives in Communication, Embedded-systems and Signal-processing-PiCES; Vol 4 No 4 (2020): Issue 4-July 2020; 56-63
The performance of the defect prediction is solely based on the dataset which consist of software metrics. The software metrics or features sometimes very huge in number that makes the dataset complicated and it impacts the classifier or regressor ef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e6fc2f9e0bc078a7e9beef16879698
http://pices-journal.com/ojs/index.php/pices/article/view/247
http://pices-journal.com/ojs/index.php/pices/article/view/247
Autor:
Sandro Morasca, Luigi Lavazza
Software defect prediction models are classifiers often built by setting a threshold t on a defect proneness model, i.e., a scoring function. For instance, they classify a software module non-faulty if its defect proneness is below t and positive oth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c3b95bbbb029bb5e7317ee8db38b75
http://hdl.handle.net/11383/2097118
http://hdl.handle.net/11383/2097118
Akademický článek
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