Hyper Explanations for Feature-Model Defect Analysis

Author:

Hentze Marc1,Pett Tobias2,Thüm Thomas3,Schaefer Ina2

Affiliation:

1. Volkswagen AG, Germany

2. Technische Universität Braunschweig, Germany

3. Universität Ulm, Germany

Publisher

ACM

Reference17 articles.

1. Automated analysis of feature models 20 years later: A literature review

2. MUST: Minimal Unsatisfiable Subsets Enumeration Tool

3. A survey of variability modeling in industrial practice

4. Megha Bhushan Arun Negi Piyush Samant Shivani Goel and Ajay Kumar. 2020. A classification and systematic review of product line feature model defects. Software Quality Journal(2020) 1–44. Megha Bhushan Arun Negi Piyush Samant Shivani Goel and Ajay Kumar. 2020. A classification and systematic review of product line feature model defects. Software Quality Journal(2020) 1–44.

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1. An ontological knowledge-based method for handling feature model defects due to dead feature;Engineering Applications of Artificial Intelligence;2024-10

2. On the benefits of knowledge compilation for feature-model analyses;Annals of Mathematics and Artificial Intelligence;2023-11-06

3. Conjunctive Query Based Constraint Solving for Feature Model Configuration;The 12th Conference on Information Technology and Its Applications;2023

4. Generic Solution-Space Sampling for Multi-domain Product Lines;Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences;2022-11-29

5. Quantifying the variability mismatch between problem and solution space;Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems;2022-10-23

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