NDLI: Using Decision Trees to Predict the Certification Result of a Build

Content Provider	IEEE Xplore Digital Library
Author	Hassan, A.E. Zhang, K.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Victoria Univ., BC (Hassan, A.E.)
Abstract	Large teams of practitioners (developers, testers, etc.) usually work in parallel on the same code base. A major concern when working in parallel is the introduction of integration bugs in the latest shared code. These latent bugs are likely to slow down the project unless they are discovered as soon as possible. Many companies have adopted daily or weekly processes which build the latest source code and certify it by executing simple manual smoke/sanity tests or extensive automated integration test suites. Other members of a team can then use the certified build to develop new features or to perform additional analysis, such as performance or usability testing. For large projects the certification process may take a few days. This long certification process forces team members to either use outdated or uncertified (possibly buggy) versions of the code. In this paper, we create decision trees to predict ahead of time the certification result of a build. By accurately predicting the outcome of the certification process, members of large software teams can work more effectively in parallel. Members can start using the latest code without waiting for the certification process to be completed. To perform our study, we mine historical information (code changes and certification results) for a large software project which is being developed at the IBM Toronto Labs. Our study shows that using a combination of project attributes (such as the number of modified subsystems in a build and certification results of previous builds), we can correctly predict 69% of the time that a build will fail certification. We can as well correctly predict 95% of the time if a build will pass certification
Starting Page	189
Ending Page	198
File Size	156381
Page Count	10
File Format	PDF
ISBN	0769525792
ISSN	19384300
DOI	10.1109/ASE.2006.72
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision trees Certification Computer bugs Merging Automatic testing Performance evaluation Control systems Software testing Performance analysis Usability
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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