Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ebubeogu Amarachukwu Felix"'
Publikováno v:
IET Software, Vol 17, Iss 2, Pp 93-136 (2023)
Abstract Regression testing remains a promising research area for the last few decades. It is a type of testing that aims at ensuring that recent modifications have not adversely affected the software product. After the introduction of a new change i
Externí odkaz:
https://doaj.org/article/807620f93e8f4204830872e89dc91f0d
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229131 (2020)
Predicting the number of defects in software at the method level is important. However, little or no research has focused on method-level defect prediction. Therefore, considerable efforts are still required to demonstrate how method-level defect pre
Externí odkaz:
https://doaj.org/article/94f2431cef7540d68e8f99e46a011744
Publikováno v:
IEEE Access, Vol 5, Pp 21524-21547 (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. Howeve
Externí odkaz:
https://doaj.org/article/886302df7c21491bbd1b6dc041661580
Autor:
Ebubeogu, Amarachukwu Felix1 (AUTHOR) felixbosken@hotmail.com, Ozigbu, Chamberline Ekene2 (AUTHOR), Maswadi, Kholoud3 (AUTHOR), Seixas, Azizi4 (AUTHOR), Ofem, Paulinus1 (AUTHOR), Conserve, Donaldson F.5 (AUTHOR)
Publikováno v:
Globalization & Health. 5/3/2022, Vol. 18 Issue 1, p1-10. 10p.
Publikováno v:
Journal of Software: Evolution and Process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34a392fc6392bd3f001c549875598ce8
https://doi.org/10.1002/smr.2549
https://doi.org/10.1002/smr.2549
Publikováno v:
IET Software. 13:479-496
Data preprocessing remains an important step in machine learning studies. This is because proper preprocessing of imbalanced data can enable researchers to reduce defects as much as possible, which, in turn, may lead to the elimination of defects in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97f3b5bdffdf0cb8398ab00e3b9ba20
https://doi.org/10.1049/iet-sen.2018.5193
https://doi.org/10.1049/iet-sen.2018.5193
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 3, p e0229131 (2020)
PLoS ONE, Vol 15, Iss 3, p e0229131 (2020)
Predicting the number of defects in software at the method level is important. However, little or no research has focused on method-level defect prediction. Therefore, considerable efforts are still required to demonstrate how method-level defect pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d7620a0610f32836ac0960ed2a35b6c
http://europepmc.org/articles/PMC7080245
http://europepmc.org/articles/PMC7080245
Autor:
Ebubeogu Amarachukwu Felix, Fahimuzzman Sohan, Mostafijur Rahman, Alamgir Kabir, Touhid Bhuiyan, Ismail Jabiullah
Publikováno v:
Cyber Security and Computer Science ISBN: 9783030528553
Software Defect Prediction (SDP) is a popular research area which plays an important role for software quality. It works as an indicator of whether a software module is defect-free or defective. In this study, a review has been conducted from January
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c7ee044faa060ff2078183428a235d
https://doi.org/10.1007/978-3-030-52856-0_20
https://doi.org/10.1007/978-3-030-52856-0_20
Publikováno v:
IEEE Access, Vol 5, Pp 21524-21547 (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. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77732220d59c6fe4e2e9a60681097d2
https://doi.org/10.1109/access.2017.2759180
https://doi.org/10.1109/access.2017.2759180
Autor:
Ebubeogu, Amarachukwu Felix1 (AUTHOR) felixbosken@hotmail.com, Ozigbu, Chamberline Ekene2 (AUTHOR), Maswadi, Kholoud3 (AUTHOR), Seixas, Azizi4 (AUTHOR), Ofem, Paulinus1 (AUTHOR), Conserve, Donaldson F.5 (AUTHOR)
Publikováno v:
Globalization & Health. 5/3/2022, Vol. 18 Issue 1, p1-1. 1p.