Under CopyrightFreimut, B.B.Freimut2022-03-0717.12.20032003https://publica.fraunhofer.de/handle/publica/29190610.24406/publica-fhg-291906Software inspections are accepted as a formal, effective, and efficient method for defect detection that is applicable in all development phases. In order to control the performance of software inspection processes the collection and analysis of data is recommended in the literature. Suggestions have been made for measuring selected aspects of inspections. Yet, we found no comprehensive survey of measuring software inspections. In this preport, we present a five-level measurement framework that includes most applications of measurement in the context of software inspections. Quantitative models published in the literature are collected and discussed according to the framework's five level structure. This collection of models is intended to be a comprehensive survey of the topic. Moreover, the framework can be applied in future projects to derive a set of models that directly serve the intended measurement purpose.Table of Contents S.vii-viii 1 Introduction S.1-2 2 Software Inspections S.3-6 - 2.1 Basics of Software Inspections S.3-4 - 2.2 Inspection Activities S.4-5 - 2.3 The Inspection Team S.5-6 3 Measurement Framework S.7-52 - 3.1 Why Do You Need Measurement? S.7-8 - 3.2 Basics of Measuring Software Inspections S.8-10 - 3.3 A Framework for Measuring Inspection Processes S.10-14 - 3.3.1 Application contexts S.11 - 3.3.2 Process Characteristics S.12-13 - 3.3.3 Models S.13 - 3.3.4 Attributes S.13 - 3.3.5 Measures S.14 - 3.4 Basic Attributes S.15-22 - 3.4.1 Effort S.15-16 - 3.4.2 Duration S.16-17 - 3.4.3 Defects S.17-19 - 3.4.4 Size S.20-21 - 3.4.5 Complexity S.21 - 3.4.6 Experience S.21-22 - 3.5 The Basic Set of Descriptive Models S.22-24 - 3.5.1 Average Cost of Finding and Fixing a Single Defect During Inspections S.23 - 3.5.2 Average Cost of Finding and Fixing a Single Defect for Other Techniques S.23-24 - 3.6 Literature Review S.25-48 - 3.6.1 Descriptive Models S.25-39 - 3.6.2 Evaluation Models S.39-42 - 3.6.3 Prediction Models S.42-48 - 3.7 Critique S.49-52 4 Data Analysis in the Framework's Context S.53-54 - 4.1 Desciptive Models S.53-54 - 4.1.1 Data Availability S.53-54 - 4.1.2 ODC Construction S.54 5 Conclusion S.55 6 References S.56enQUASAR004005006report