Clustering Methodologies for Software Engineering
Joint Authors
Shtern, Mark
Tzerpos, Vassilios
Source
Advances in Software Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-10
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The size and complexity of industrial strength software systems are constantly increasing.
This means that the task of managing a large software project is becoming even more challenging, especially in light of high turnover of experienced personnel.
Software clustering approaches can help with the task of understanding large, complex software systems by automatically decomposing them into smaller, easier-to-manage subsystems.
The main objective of this paper is to identify important research directions in the area of software clustering that require further attention in order to develop more effective and efficient clustering methodologies for software engineering.
To that end, we first present the state of the art in software clustering research.
We discuss the clustering methods that have received the most attention from the research community and outline their strengths and weaknesses.
Our paper describes each phase of a clustering algorithm separately.
We also present the most important approaches for evaluating the effectiveness of software clustering.
American Psychological Association (APA)
Shtern, Mark& Tzerpos, Vassilios. 2012. Clustering Methodologies for Software Engineering. Advances in Software Engineering،Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-498453
Modern Language Association (MLA)
Shtern, Mark& Tzerpos, Vassilios. Clustering Methodologies for Software Engineering. Advances in Software Engineering No. 2012 (2012), pp.1-18.
https://search.emarefa.net/detail/BIM-498453
American Medical Association (AMA)
Shtern, Mark& Tzerpos, Vassilios. Clustering Methodologies for Software Engineering. Advances in Software Engineering. 2012. Vol. 2012, no. 2012, pp.1-18.
https://search.emarefa.net/detail/BIM-498453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498453