NDLI: Automatic software architecture recovery: A machine learning approach

Content Provider	IEEE Xplore Digital Library
Author	Sajnani, H.
Copyright Year	2012
Description	Author affiliation: University of California Irvine, Irvine, California 92697 (Sajnani, H.)
Abstract	Automatically recovering functional architecture of the software can facilitate the developer's understanding of how the system works. In legacy systems, original source code is often the only available source of information about the system and it is very time consuming to understand source code. Current architecture recovery techniques either require heavy human intervention or fail to recover quality components. To alleviate these shortcomings, we propose use of machine learning techniques which use structural, runtime behavioral, domain, textual and contextual (e.g. code authorship, line co-change) features. These techniques will allow us to experiment with a large number of features of the software artifacts without having to establish a priori our own insights about what is important and what is not important. We believe this is a promising approach that may finally start to produce usable solutions to this elusive problem.
Starting Page	265
Ending Page	268
File Size	232123
Page Count	4
File Format	PDF
ISBN	9781467312134
ISSN	10928138
e-ISBN	9781467312165
e-ISBN	9781467312158
DOI	10.1109/ICPC.2012.6240501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-11
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software algorithms Clustering algorithms Computer architecture Documentation Machine learning Feature extraction Software
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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