DyMMer
Author:
Affiliation:
1. Federal University of Ceará, Quixada Campus, Quixada-CE, Brazil
2. Federal University of Ceará, Pici Campus, Fortaleza-CE, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2934466.2962730
Reference11 articles.
1. Dynamic adaptation of service compositions with variability models
2. Assessing the maintainability of software product line feature models using structural metrics
3. Towards system analysis with variability model metrics
4. Analyzing the Feature Models Maintainability over their Evolution Process
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Self-Adaptation Mechanism for Variability Management in Dynamic Software Product Lines;Proceedings of the 17th Brazilian Symposium on Software Components, Architectures, and Reuse;2023-09-25
2. DyMMer 2.0: A Tool for Dynamic Modeling and Evaluation of Feature Model;Brazilian Symposium on Software Engineering;2021-09-27
3. A machine learning model to classify the feature model maintainability;Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume A;2021-09-06
4. A procedural and flexible approach for specification, modeling, definition, and analysis for self‐adaptive systems;Software: Practice and Experience;2021-03-05
5. A study on dynamic aspects variability in the SOLAR educational software ecosystem;Journal of the Brazilian Computer Society;2020-09-07
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