Predicting the existence of design patterns based on semantics and metrics
Joint Authors
Isawi, Amin
Bouassida, Nadiyah
Bin Abd Allah, Hanin
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 2 (31 Mar. 2016)10 p.
Publisher
Publication Date
2016-03-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
-As of the reengineering process, the identification of design patterns offers important information to the designer.
In fact, the identification of implemented design patterns could be useful for the comprehension of an existing design and provides the grounds for further code/design improvements.
However, existing pattern detection approaches generally have problems in detecting patterns in an optimal manner.
They either detect exact pattern instantiations or have no guidelines in deciding which pattern to look for first amongst the various patterns.
To overcome these two limitations, we propose to optimize any pattern detection approach by preceding it by a preliminary “sniffing” step that detects the potential existence of patterns and orders the candidate patterns in terms of their degree of resemblance to design fragments.
Our approach uses design metrics to characterize the structure and semantics of the various design patterns.
American Psychological Association (APA)
Isawi, Amin& Bouassida, Nadiyah& Bin Abd Allah, Hanin. 2016. Predicting the existence of design patterns based on semantics and metrics. The International Arab Journal of Information Technology،Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581030
Modern Language Association (MLA)
Isawi, Amin…[et al.]. Predicting the existence of design patterns based on semantics and metrics. The International Arab Journal of Information Technology Vol. 13, no. 2 (Mar. 2016).
https://search.emarefa.net/detail/BIM-581030
American Medical Association (AMA)
Isawi, Amin& Bouassida, Nadiyah& Bin Abd Allah, Hanin. Predicting the existence of design patterns based on semantics and metrics. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581030
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-581030