Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ezgi Erturk"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 6, p 182 (2024)
Safety from crime is a fundamental human need. In Maslow’s hierarchy, safety is one of the foundational needs of well-being. The built environment should be safe to use at all times of the day and for all groups of people. After dark, the appearanc
Externí odkaz:
https://doaj.org/article/139aed229a7948b1b2a00411e009f54c
Autor:
Ezgi Erturk, Ebru Akcapinar Sezer
Publikováno v:
Journal of Software. 10:757-766
Software fault prediction is a process which predicts that the software modules are faulty or not by using the software metrics and some soft computing methods. Software metrics are divided into two main categories such as object-oriented and method-
Autor:
Ezgi Erturk, Ebru Akcapinar Sezer
Display Omitted To make software fault prediction (SFP) more beneficial, it should be into service at the beginning of the project.A novel prediction methodology based on existing methods (i.e. FIS, ANN) are proposed here.Version based development of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c6561b170cdf8dab5894523fdb6c47
https://aperta.ulakbim.gov.tr/record/98469
https://aperta.ulakbim.gov.tr/record/98469
Autor:
Ezgi Erturk, Ebru Akcapinar Sezer
Publikováno v:
Software Engineering / 811: Parallel and Distributed Computing and Networks / 816: Artificial Intelligence and Applications.
Software fault prediction means identification of the faultprone parts in the software. This enables to focus testing activities on those software modules that are predicted as fault-prone. As can be seen in literature, many soft computing techniques
Autor:
Ezgi Erturk, Ebru Akcapinar Sezer
Publikováno v:
International Journal of Data Analysis Techniques and Strategies. 8:14
High quality software requires the occurrence of minimum number of failures while software runs. Software fault prediction is the determining whether software modules are prone to fault or not. Identification of the modules or code segments which nee
Publikováno v:
Acta Veterinaria Eurasia, Vol 46, Iss 2, Pp 63-67 (2020)
Externí odkaz:
https://doaj.org/article/68763ec2c3314bc783a222e769566a6f