NDLI: Self organizing maps as a tool for software analysis

Content Provider	IEEE Xplore Digital Library
Author	Pedrycz, W. Succi, G. Reformat, M. Musilek, P. Bai, X.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada (Pedrycz, W.)
Abstract	Software measures (metrics) are indicators describing complexity of software products and processes. By their very nature, software measures give rise to a number of complex and highly dimensional data (patterns) that attempt to provide some useful insights into the very nature of the software systems. Such findings help to investigate and quantify the key properties of the systems such as their reliability, maintainability, readability, etc. In this study, self-organizing maps (SOMs) are considered as a vehicle for analysis of multidimensional data. From the functional point of view, SOMs are neural networks that map highly dimensional data into low dimensional (usually two-dimensional) space in such a way that the topology of the data is preserved. The construction of a map is realized through a process of unsupervised learning. Owing to the visualization capabilities arising in the two-dimensional space, one can visualize a structure in the original data and identify potential clusters as well as their size (compactness) and mutual distribution in the map. In this study, analysis of software data concerning JAVA classes is being carried out.
Sponsorship	Gen. Electr. Company
Starting Page	93
Ending Page	97
File Size	507141
Page Count	5
File Format	PDF
ISBN	0780367154
ISSN	08407789
DOI	10.1109/CCECE.2001.933665
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Self organizing feature maps Software tools Software measurement Data analysis Data visualization Software systems Maintenance Vehicles Multidimensional systems Neural networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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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