NDLI: Putting It All Together: Using Socio-technical Networks to Predict Failures

Content Provider	IEEE Xplore Digital Library
Author	Bird, C. Nagappan, N. Gall, H. Murphy, B. Devanbu, P.
Copyright Year	2009
Abstract	Studies have shown that social factors in development organizations have adramatic effect on software quality. Separately, program dependencyinformation has also been used successfully to predict which software componentsare more fault prone. Interestingly, the influence of these two phenomena haveonly been studied separately. Intuition and practical experience suggests,however, that task assignment (i.e. who worked on which components and howmuch) and dependency structure (which components have dependencies on others)together interact to influence the quality of the resulting software. Westudy the influence of combined socio-technical software networks onthe fault-proneness of individual software components within a system. Thenetwork properties of a software component in this combined network are ableto predict if an entity is failure prone with greater accuracy than priormethods which use dependency or contribution information in isolation. Weevaluate our approach in different settings by using it on Windows Vista andacross six releases of the Eclipse development environment including usingmodels built from one release to predict failure prone components in the nextrelease. We compare this to previous work. In every case, our method performsas well or better and is able to more accurately identify those softwarecomponents that have more post-release failures, with precision and recallrates as high as 85%.
Starting Page	109
Ending Page	119
File Size	305349
Page Count	11
File Format	PDF
ISBN	9781424453757
ISSN	10719458
DOI	10.1109/ISSRE.2009.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models History Software quality Costs Software systems Software reliability Reliability engineering Social factors Software performance NIST bug prediction social networks empirical studies
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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