NDLI: Module-order modeling using an evolutionary multi-objective optimization approach

Content Provider	IEEE Xplore Digital Library
Author	Khoshgoftaar, T.M. Liu, Y. Seliya, N.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA (Khoshgoftaar, T.M.; Liu, Y.; Seliya, N.)
Abstract	The problem of quality assurance is important for software systems. The extent to which software reliability improvements can be achieved is often dictated by the amount of resources available for the same. A prediction for risk-based rankings of software modules can assist in the cost-effective delegation of the limited resources. A module-order model (MOM) is used to gauge the performance of the predicted rankings. Depending on the software system under consideration, multiple software quality objectives may be desired for a MOM; e.g., the desired rankings may be such that if 20% of modules were targeted for reliability enhancements then 80% of the faults would be detected. In addition, it may also be desired that if 50% of modules were targeted then 100% of the faults would be detected. Existing works related to MOM(s) have used an underlying prediction model to obtain the rankings, implying that only the average, relative, or mean square errors are minimized. Such an approach does not provide an insight into the behavior of a MOM, the performance of which focusses on how many faults are accounted for by the given percentage of modules enhanced. We propose a methodology for building MOM (s) by implementing a multiobjective optimization with genetic programming. It facilitates the simultaneous optimization of multiple performance objectives for a MOM. Other prediction techniques, e.g., multiple linear regression and neural networks, cannot achieve multiobjective optimization for MOM(s). A case study of a high-assurance telecommunications software system is presented. The observed results show a new promise in the modeling of goal-oriented software quality estimation models.
Sponsorship	IEEE Comput. Soc. Tech. Council on Software Eng. (TCSE)
Starting Page	159
Ending Page	169
File Size	1088501
Page Count	11
File Format	PDF
ISBN	0769521290
ISSN	15301435
DOI	10.1109/METRIC.2004.1357900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Message-oriented middleware Software systems Predictive models Software quality Fault detection Quality assurance Software reliability Mean square error methods Optimization methods Genetic programming
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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