TY - CHAP U1 - Buchbeitrag A1 - Klünder, Jil A1 - Karajic, Dzejlana A1 - Tell, Paolo A1 - Karras, Oliver A1 - Münkel, Christian A1 - Münch, Jürgen A1 - MacDonell, Stephen A1 - Hebig, Regina A1 - Kuhrmann, Marco ED - Koziolek, Anne ED - Schaefer, Ina ED - Seidl, Christoph T1 - Determining context factors for hybrid development methods with trained models T2 - Software Engineering 2021 N2 - Selecting a suitable development method for a specific project context is one of the most challenging activities in process design. To extend the so far statistical construction of hybrid development methods, we analyze 829 data points to investigate which context factors influence the choice of methods or practices. Using exploratory factor analysis, we derive five base clusters consisting of up to 10 methods. Logistic regression analysis then reveals which context factors have an influence on the integration of methods from these clusters in the development process. Our results indicate that only a few context factors including project/product size and target application domain significantly influence the choice. This summary refers to the paper “Determining Context Factors for Hybrid Development Methods with Trained Models”. This paper was published in the proceedings of the International Conference on Software and System Process in 2020. Y1 - 2021 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-29650 SN - 1617-5468 SS - 1617-5468 SN - 978-3-88579-704-3 SB - 978-3-88579-704-3 U6 - https://doi.org/10.18420/SE2021_21 DO - https://doi.org/10.18420/SE2021_21 SP - 65 EP - 66 S1 - 2 PB - Gesellschaft für Informatik CY - Bonn ER -