Abstract
Real-world cases describing (product) variability in production systems are rare and often not accessible. Thus, researchers often use toy examples or develop fictitious case studies. These are designed to demonstrate their approach but rarely to compare multiple approaches. In this paper, we aim at making variability modeling evaluations comparable. We present and provide a reusable set of four real-world case studies that are easy to access, with artifacts represented in a universal, variability-model-agnostic way, the industrial Product-Process-Resource Domain-Specific Language (PPR DSL). We report how researchers can use the case studies, automatically transforming the Domain-Specific Language (DSL) artifacts to well-known variability models, e.g., product feature models, using the Variability Evolution Roundtrip Transformation (VERT) process. We compare the expressiveness and complexity of the transformed feature models. We argue that the case studies with the DSL and the flexible transformation capabilities build a valuable contribution to making future research results more comparable and facilitating evaluations with real-world product lines.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 25th ACM International Systems and Software Product Line Conference, SPLC 2021 |
| Herausgeber*innen | Mohammad Mousavi, Pierre-Yves Schobbens, Hugo Araujo, Ina Schaefer, Maurice H. ter Beek, Xavier Devroey, Jose Miguel Rojas, Rick Rabiser, Mahsa Varshosaz, Tomoji Kishi, Jaejoon Lee |
| Erscheinungsort | New York, USA |
| Verlag | ACM |
| Seiten | 105-112 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781450384704 |
| ISBN (Print) | 978-1-4503-8470-4 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 06 Sep. 2021 |
Publikationsreihe
| Name | ACM International Conference Proceeding Series |
|---|---|
| Band | Part F171625-B |
Wissenschaftszweige
- 102 Informatik
- 102022 Softwareentwicklung
- 102029 Praktische Informatik
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Laufend
-
Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Forscher*in), Fadhlillah, H. (Forscher*in), Gutierrez, A. (Forscher*in), Kutsia, E. (Forscher*in), Sharma, S. (Forscher*in), Sonnleithner, L. (Forscher*in), Unterdechler, M. (Forscher*in), Rabiser, R. (Projektleiter*in) & Zoitl, A. (Projektleiter*in)
01.02.2021 → 31.01.2028
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft
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