NDLI: Taguchi Smaller-the-Best Software Quality Metrics

Content Provider	IEEE Xplore Digital Library
Author	Akingbehin, K.
Copyright Year	2009
Abstract	Abstract---Taguchi-based software metrics (numerical software measurements) define software quality in terms of "loss imparted to society" after a software product is delivered to the end user. Previous work has focused on nominal-the-best and larger-the-best loss functions for estimating the loss to society. This paper focuses on the smaller-the-best loss function for estimating the loss to society. The smaller-the-best loss function is for a property whose value should be as small as possible. It is shown that the smaller-the-best loss function can be obtained from the nominal-the-best loss function by substituting zero for t, the target value in the nominal-the-best loss function. This derivation is illustrated and a case study utilizing the derivation is presented. Taguchi-based metrics are in line with six-sigma statistical quality control techniques that have been used with software products for several years. Experiences with Taguchi-based metrics have shown good correlation with existing popularly known software quality metrics.
Starting Page	585
Ending Page	588
File Size	218816
Page Count	4
File Format	PDF
ISBN	9780769536422
DOI	10.1109/SNPD.2009.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-27
Publisher Place	Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Productivity Costs Computer crashes Application software Distributed computing Automotive engineering Metrics Software metrics Quality Software quality Performance loss Taguchi Software Software engineering
Content Type	Text
Resource Type	Article

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