NDLI: Automatic clustering of software systems using a genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Doval, D. Mancoridis, S. Mitchell, B.S.
Copyright Year	1999
Description	Author affiliation: Dept. of Math. & Comput. Sci., Drexel Univ., Philadelphia, PA, USA (Doval, D.)
Abstract	Large software systems tend to have a rich and complex structure. Designers typically depict the structure of software systems as one or more directed graphs. For example, a directed graph can be used to describe the modules (or classes) of a system and their static interrelationships using nodes and directed edges, respectively. We call such graphs "module dependency graphs" (MDGs). MDGs can be large and complex graphs. One way of making them more accessible is to partition them, separating their nodes (i.e. modules) into clusters (i.e. subsystems). In this paper, we describe a technique for finding "good" MDG partitions. Good partitions feature relatively independent subsystems that contain modules which are highly interdependent. Our technique treats finding a good partition as an optimization problem, and uses a genetic algorithm (GA) to search the extraordinarily large solution space of all possible MDG partitions. The effectiveness of our technique is demonstrated by applying it to a medium-sized software system.
Starting Page	73
Ending Page	81
File Size	81640
Page Count	9
File Format	PDF
ISBN	0769503284
DOI	10.1109/STEP.1999.798481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-09-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software systems Genetic algorithms Mathematics Computer science Reverse engineering Software architecture Software design
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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