TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Guzman, Julio
A1  - Dörr, Heiko
A1  - Gruber, Christian
A1  - Münch, Jürgen
A1  - Kuhrmann, Marco
ED  - Pfahl, Dietmar
T1  - On the derivation of quality assurance plans from process model descriptions
T2  - Product-Focused Software Process Improvement : Industry-, Workshop-, and Doctoral Symposium Papers. - 25th International Conference, PROFES 2024, Tartu, Estonia, December 2-4, 2024, Proceedings
N2  - In domains such as aerospace, automotive, and medical devices, high-quality software is key due to the critical nature of these applications and the low margin for failure. Ensuring the quality of software is essential to prevent potentially catastrophic outcomes. In this paper, we present an approach to derive quality assurance plans from well-defined process models. Utilizing the GQM model, we derive quality requirements and metrics based on a process example, which we realize in the process management tool Stages. Based on the exemplary realization, we simulate 100 projects to provide data used in a recommendation system that enriches the process model such that quality assurance plans including the metrics of interest can be generated from the process model. Our findings show that, given sufficient data is available, context-specific quality assurance plans can be generated and which particular steps have to be taken to realize the overall concept in the studied tool.
Y1  - 2025
SN  - 978-3-031-78392-0
SB  - 978-3-031-78392-0
U6  - https://doi.org/10.1007/978-3-031-78392-0_8
DO  - https://doi.org/10.1007/978-3-031-78392-0_8
SP  - 116
EP  - 130
S1  - 15
PB  - Springer
CY  - Cham
ER  -