Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Beyza Eken"'
Publikováno v:
Software Quality Journal. 29:159-194
Community-aware metrics through socio-technical developer networks or organizational structures have already been studied in the software bug prediction field. Community smells are also proposed to identify communication and collaboration patterns in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b98fe7cc3c77b0789907c72e128f67fa
https://doi.org/10.1007/s11219-020-09538-7
https://doi.org/10.1007/s11219-020-09538-7
Publikováno v:
Journal of Software: Evolution and Process. 33
Applying change‐level software defect prediction (SDP) in practice has several challenges regarding model validation techniques, data accuracy, and prediction performance consistency. A fe...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03030c527467b929dec6cdb0d9f5c815
https://doi.org/10.1002/smr.2381
https://doi.org/10.1002/smr.2381
Publikováno v:
SAC
Estimating the software development effort associated with a customer request, immediately after the request has been made, is quite challenging for project managers. Studies on software effort estimation often utilize expert knowledge to build stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cd39ef6325817362bb30ccb78e2f87d
https://doi.org/10.1145/3341105.3373898
https://doi.org/10.1145/3341105.3373898
Autor:
Beyza Eken, Ayse Tosun
Publikováno v:
Journal of Systems and Software. 181:111038
Software defect predictors exploring developer perspective reveal that code changes made by separate developers tend to have different defect patterns. Personalized defect prediction also contributes to this view and gives promising results. We aim t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21810b8005092d4dbc6c8d2fc54e1076
https://doi.org/10.1016/j.jss.2021.111038
https://doi.org/10.1016/j.jss.2021.111038
Autor:
Beyza Eken
Publikováno v:
ICSE (Companion Volume)
Software defect prediction models guide developers and testers to identify defect prone software modules in fewer time and effort, compared to manual inspections of the source code. The state-of-the-art predictors on publicly available software engin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af7569e6294f06bfbd89f9205743e5f6
https://aperta.ulakbim.gov.tr/record/33571
https://aperta.ulakbim.gov.tr/record/33571
Autor:
A. Cuneyd Tantug, Beyza Eken
Publikováno v:
Computer Science & Information Technology ( CS & IT ).
Named entity recognition (NER) is one of the well-studied sub-branch of natural language processing (NLP). State of the art NER systems give highly accurate results in domain of formal texts. With the expansion of microblog sites and social media, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9eedd9099719d9ccd24b2e2fb4e785
https://doi.org/10.5121/csit.2015.50213
https://doi.org/10.5121/csit.2015.50213