NDLI: An analogy-based approach for predicting design stability of Java classes

Content Provider	IEEE Xplore Digital Library
Author	Grosser, D. Sahraoui, H.A. Valtchev, P.
Copyright Year	2003
Description	Author affiliation: DIRO, Montreal Univ., Que., Canada (Grosser, D.; Sahraoui, H.A.; Valtchev, P.)
Abstract	Predicting stability in object-oriented (OO) software, i.e., the ease with which a software item evolves while preserving its design, is a key feature for software maintenance. In fact, a well designed OO software must be able to evolve without violating the compatibility among versions, provided that no major requirement reshuffling occurs. Stability, like most quality factors, is a complex phenomenon and its prediction is a real challenge. We present an approach, which relies on the case-based reasoning (CBR) paradigm and thus overcomes the handicap of insufficient theoretical knowledge on stability. The approach explores structural similarities between classes, expressed as software metrics, to guess their chances of becoming unstable. In addition, our stability model binds its value to the impact of changing requirements, i.e., the degree of class responsibilities increase between versions, quantified as the stress factor. As a result, the prediction mechanism favours the stability values for classes having strong structural analogies with a given test class as well as a similar stress impact. Our predictive model is applied on a testbed made up of the classes from four major version of the Java API.
Sponsorship	IEEE Comput. Soc. Tech. Council on Software Eng
Starting Page	252
Ending Page	262
File Size	561720
Page Count	11
File Format	PDF
ISBN	0769519873
ISSN	15301435
DOI	10.1109/METRIC.2003.1232472
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-05
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability Java Software maintenance Stress Testing Software design Q factor Software metrics Object oriented modeling Predictive models
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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