NDLI: Cost Curve Evaluation of Fault Prediction Models

Content Provider	IEEE Xplore Digital Library
Author	Yue Jiang Cukic, B. Menzies, T.
Copyright Year	2008
Description	Author affiliation: Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV (Yue Jiang; Cukic, B.; Menzies, T.)
Abstract	Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consensus on the methodology to select the "best model" for the specific project. In this paper, we introduce and discuss the merits of cost curve analysis of fault prediction models. Cost curves allow software quality engineers to introduce project-specific cost of module misclassification into model evaluation. Classifying a software module as fault-prone implies the application of some verification activities, thus adding to the development cost. Misclassifying a module as fault free carries the risk of system failure, also associated with cost implications. Through the analysis of sixteen projects from public repositories, we observe that software quality does not necessarily benefit from the prediction of fault prone components. The inclusion of misclassification cost in model evaluation may indicate that even the "best" models achieve performance no better than trivial classification. Our results support a recommendation to adopt cost curves as one of the standard methods for software quality model performance evaluation.
Starting Page	197
Ending Page	206
File Size	382714
Page Count	10
File Format	PDF
ISBN	9780769534053
ISSN	10719458
DOI	10.1109/ISSRE.2008.54
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Predictive models Software quality Testing Application software Fault diagnosis Quality assurance Software reliability Reliability engineering Computer science classification software quality verification and validation machine learning
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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