DocumentCode
600280
Title
Application of Kusumoto cost-metric to evaluate the cost effectiveness of software inspections
Author
Mandala, N.R. ; Walia, G.S. ; Carver, Jeffrey C. ; Nagappan, Nachiappan
Author_Institution
IACC, North Dakota State Univ., Fargo, ND, USA
fYear
2012
fDate
20-21 Sept. 2012
Firstpage
221
Lastpage
230
Abstract
Inspections and testing are two widely recommended techniques for improving software quality. While testing cannot be conducted until software is implemented, inspections can help find and fix the faults right after their injection in the requirements and design documents. It is estimated that majority of testing cost is spent on fault rework and can be saved by inspections of early software products. However there is a lack of evidence regarding the testing costs saved by performing inspections. This research analyzes the costs and benefits of inspections and testing to decide on whether to schedule an inspection. We also analyzed the effect of the team size on the decision of how to organize the inspections. Another aspect of our research evaluates the use of Capture Recapture (CR) estimation method when the actual fault count of software product is unknown. Using data from 73 inspectors, we applied the Kusumoto metric to evaluate the cost-effectiveness of the inspections with varying team size. Our results provide a detailed analysis of the number of inspectors required for varying levels of cost-effectiveness during inspections; and the number of inspectors required by the CR estimators to provide estimates within 5% to 20% of the actual.
Keywords
cost-benefit analysis; program testing; software cost estimation; software quality; CR estimation method; Kusumoto cost metric; capture recapture estimation method; cost-benefit analysis; software inspection cost effectiveness; software product; software quality; software testing; Animals; Fault detection; Inspection; Mathematical model; Measurement; Software; Testing; Capture Recapture; Cost-effectiveness; Kusumoto Metric;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Software Engineering and Measurement (ESEM), 2012 ACM-IEEE International Symposium on
Conference_Location
Lund
ISSN
1938-6451
Print_ISBN
978-1-4503-1056-7
Electronic_ISBN
1938-6451
Type
conf
DOI
10.1145/2372251.2372291
Filename
6475420
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