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Assessing the Cost-Effectiveness of Inspections by Combining Project Data and Expert Opinion

 
: Briand, L.C.; Freimut, B.; Vollei, F.

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Fulltext urn:nbn:de:0011-px-435663 (433 KByte PDF)
MD5 Fingerprint: d9473f08657795d023683d99b23b5ae6
Created on: 10.08.2000


Kaiserslautern, 1999, VII, 26 pp. : Ill., Lit.
IESE-Report, 070.99/E
Reportnr.: IESE-Report 070.99/E
English
Report, Electronic Publication
Fraunhofer IESE ()
cost-effectiveness; expert knowledge elicitation; Monte Carlo method; software inspection

Abstract
There is a general agreement among software engineering practitioners that software inspections are an important technique to achieve high software quality at a reasonable cost. However, there are many ways to perform such inspections and many factors that affect their cost-evectiveness. It is therefore important to be able to estimate this cost-effectiveness in order to monitor it, improve it, and convince developers and management that the technology and related investment are worthwhile. This work proposes a rigorous but practical way to do so. In particular, a meaningful model to measure cost-effectiveness is selected and a method to determine the cost-effectiveness by combining project data and expert opinion is proposed. To demonstrate the feasibility of the proposed approach, the results of a large-scale industrial case study are presented.

: http://publica.fraunhofer.de/documents/PX-43566.html