NDLI: Method mining in experimental software engineering

Content Provider	IEEE Xplore Digital Library
Author	Uchimiya, H. Ogata, S. Kaijiri, K.
Copyright Year	2014
Description	Author affiliation: Fac. of Eng., Shinshu Univ., Nagano, Japan (Ogata, S.; Kaijiri, K.) \|\| Fac. of Eng., Shinshu Univ. Nagano, Nagano, Japan (Uchimiya, H.)
Abstract	In experimental software engineering, particularly in the domain of predicting or identifying some properties (quality, cost, maturity, etc.), many methods have been proposed. The effectiveness of these methods depends on the software domain, the development process and style, etc., so there is no unique adequate method. The necessity of searching some adequate methods is recognized, but only few search techniques have been proposed thus far. Zhimin proposed a method mining technique for predicting error-prone modules based on a knowledge base consisting of a lot of prediction results. Here, we improve Zhimin's method and propose a general method mining model for experimental software engineering, which can search for some adequate methods on the basis of the performance knowledge base. We also show several applications and their mining results, for example, error-prone module prediction and traceability link recovery.
Starting Page	1012
Ending Page	1016
File Size	228930
Page Count	5
File Format	PDF
e-ISBN	9781479954582
DOI	10.1109/ICSAI.2014.7009433
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Measurement Predictive models Prediction algorithms Software Data mining Software engineering
Content Type	Text
Resource Type	Article

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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
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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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