Briand, L.C.L.C.BriandFreimut, B.B.FreimutVollei, F.F.Vollei2022-03-072022-03-071999https://publica.fraunhofer.de/handle/publica/290174There 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.encost-effectivenessexpert knowledge elicitationMonte Carlo methodsoftware inspection004005006report