Second Tutorial on the Universal Variability Language-Reference-Cited by-同舟云学术

Second Tutorial on the Universal Variability Language

Published:2023-08-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Systems and Software Product Line Conference - Volume A
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Author:

Krieter Sebastian¹^ORCID,Feichtinger Kevin²^ORCID,Galindo José A.³^ORCID,Benavides David³^ORCID,Rabiser Rick⁴^ORCID,Sundermann Chico¹^ORCID,Thüm Thomas¹^ORCID

Affiliation:

1. University of Ulm, Ulm, Germany

2. LIT CPS Lab, Johannes Kepler University, Linz, Austria

3. University of Seville, Seville, Spain

4. CDL VaSiCS, LIT CPS Lab, Johannes Kepler University, Linz, Austria

Funder

FEDER/Ministry of Science and Innovation/State Research Agency

FEDER/Junta de Andalucía

Christian Doppler Forschungsgesellschaft

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579027.3609002

Reference9 articles.

1. Kevin Feichtinger , Johann Stöbich , Dario Romano , and Rick Rabiser . 2021 . TRAVART: An Approach for Transforming Variability Models. In VaMoS. ACM, Article 8, 10 pages. Kevin Feichtinger, Johann Stöbich, Dario Romano, and Rick Rabiser. 2021. TRAVART: An Approach for Transforming Variability Models. In VaMoS. ACM, Article 8, 10 pages.

2. José A. Galindo and David Benavides . 2020 . A Python Framework for the Automated Analysis of Feature Models: A First Step to Integrate Community Efforts. In MODEVAR. ACM , 52--55. José A. Galindo and David Benavides. 2020. A Python Framework for the Automated Analysis of Feature Models: A First Step to Integrate Community Efforts. In MODEVAR. ACM, 52--55.

3. Tobias Heß Tobias Müller Chico Sundermann and Thomas Thüm. 2022. ddueruem: A Wrapper for Feature-Model Analysis Tools. In SPLC. ACM 54--57. Tobias Heß Tobias Müller Chico Sundermann and Thomas Thüm. 2022. ddueruem: A Wrapper for Feature-Model Analysis Tools. In SPLC. ACM 54--57.

4. Jose M. Horcas Jose A. Galindo Mónica Pinto Lidia Fuentes and David Benavides. 2022. FM Fact Label: A Configurable and Interactive Visualization of Feature Model Characterizations (MODEVAR). ACM 42--45. Jose M. Horcas Jose A. Galindo Mónica Pinto Lidia Fuentes and David Benavides. 2022. FM Fact Label: A Configurable and Interactive Visualization of Feature Model Characterizations (MODEVAR). ACM 42--45.

5. UVLS