Under CopyrightFreimut, B.B.FreimutDenger, C.C.DengerKetterer, M.M.Ketterer2022-03-0722.12.20052005https://publica.fraunhofer.de/handle/publica/29247510.24406/publica-fhg-292475Defect measurement plays a crucial role when assessing quality assurance processes such as inspections and testing. To systematically combine these processes in the context of an integrated quality assurance strategy, measurement must provide empirical evidence on how effective these processes are and which types of defects are detected by which quality assurance process. Typically, defect classification schemes, such as ODC or the Hewlett-Packard scheme, are used to measure defects for this purpose. However, we found it difficult to transfer existing schemes to an embedded software context, where specific document- and defect types have to be considered. This paper presents an approach to define, introduce, and validate a customized defect classification scheme that considers the specifics of an industrial environment. The core of the approach is to combine the software engineering know-how of meas-urement experts and the domain know-how of developers. In addition to the approach, we present the results and experiences of using the approach in an industrial setting. The results indicate that our approach results in a defect classification scheme that allows classifying defects with good reliability that allows identifying process improvement actions and that can serve as a baseline for evaluating the impact of process improvements.1 Motivation S.1-2 2 Company Context S.3-4 3 Related Work in Defect Measurement S.5-7 4 Measurement Objectives S.8-10 5 A Process for Defining and Introducing Defect Classification Schemes S.11-16 - 5.1 Process Design Considerations S.11-12 - 5.2 Process Overview S.12-13 - 5.3 Basic Model Definition S.13-15 - 5.3.2 Develop Defect Flow Estimate S.13-14 - 5.3.3 Determine Qualitative QA-Strategy S.14-15 - 5.4 Detailed Model Definition S.15-16 - 5.5 Pilot Application S.16 6 Case Study at Bosch GS S.17-21 - 6.1 Basic Model Definition S.17-19 - 6.1.2 Develop Defect Flow Estimate S.17-18 - 6.1.3 Determine Qualitative QA-Strategy S.18-19 - 6.2 Detailed Model Definition S.19-21 7 Validation of the Classification Scheme S.22-25 - 7.1 Reliability S.22-23 - 7.2 Stability of Distribution for Unchanged Process S.23-24 - 7.3 Improvement Potential S.24-25 - 7.3.1 Qualitative observations S.24-25 8 Summary and Outlook S.26 References S.27-31endefect classificationprocess improvementcase studyquality management004005006An industrial case study of implementing and validating defect classification for process improvement and quality managementreport