Dynamic decision-making based on NFR for managing software variability and configuration selection

Author:

Almeida André1,Bencomo Nelly2,Batista Thais3,Cavalcante Everton4,Dantas Francisco5

Affiliation:

1. Federal Institute of Education, Science and Technology of Rio Grande do Norte, Parnamirim, Brazil and Federal University of Rio Grande do Norte, Natal, Brazil

2. Aston University, Birmingham, United Kingdom

3. Federal University of Rio Grande do Norte, Natal, Brazil

4. Federal University of Rio Grande do Norte, Natal, Brazil and Université de Bretagne-Sud, Vannes, France

5. State University of Rio Grande do Norte, Natal, Brazil

Publisher

ACM

Cited by 6 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. ProbaSAS: Modeling and Decision-Making Approach for Self-Adaptive Software Systems under Uncertainty;2022 41st Chinese Control Conference (CCC);2022-07-25

2. EasyModel: A Refinement-Based Modeling and Verification Approach for Self-Adaptive Software;Journal of Computer Science and Technology;2020-09-30

3. Requirements-driven evolution of sociotechnical systems via probabilistic reasoning and hill climbing;Automated Software Engineering;2019-04-22

4. Dynamic high-level requirements in self-adaptive systems;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018-04-09

5. Challenges of STEM-Driven Computer Science (CS) Education;Smart STEM-Driven Computer Science Education;2018

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