The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-848
Full Name: Istvan Gergely Czibula
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 1, M. Kogalniceanu street
Country: ROMANIA
Tel:
Tel prefix:
Fax:
E-mail address: istvanc@cs.ubbcluj.ro
Other E-mails:
Title of the Paper: Identifying crosscutting concerns using partitional clustering
Authors as they appear in the Paper: Gabriela Czibula, Grigoreta Sofia Cojocar, Istvan Gergely Czibula
Email addresses of all the authors: gabis@cs.ubbcluj.ro, grigo@cs.ubbcluj.ro, istvanc@cs.ubbcluj.ro
Number of paper pages: 10
Abstract: Aspect mining is a research direction that tries to identify crosscutting concerns in already developed software systems, without using aspect oriented programming. The goal is to identify them and then to refactor them to aspects, to achieve a system that can be easily understood, maintained and modified. In this paper we aim at presenting a partitional clustering algorithm for identifying crosscutting concerns in existing software systems. We experimentally evaluate our algorithm using the open source JHotDraw case study, for three distance functions, providing a comparison of the proposed approach with similar existing approaches. The experimental evaluation conducts us to the best semi-metric distance function to be used in the clustering process.
Keywords: Software engineering, Aspect mining, Crosscutting concerns, Clustering, Object oriented systems
EXTENSION of the file: .pdf
Special (Invited) Session: A Partitional Clustering Algorithm for Crosscutting Concerns Identification
Organizer of the Session: 609-574
How Did you learn about congress:
IP ADDRESS: 86.106.48.30
