Activités par an
Résumé
Dynamic Software Product Lines (DSPLs) engineering implements self-adaptive systems by dynamically binding or unbinding features at runtime according to a feature model. However, these features may interact in unexpected and undesired ways leading to critical consequences for the DSPL. Moreover, (re)configurations may negatively affect the runtime system's architectural qualities, manifesting architectural bad smells. These issues are challenging to detect due to the combinatorial explosion of the number of interactions amongst features. As some of them may appear at runtime, we need a runtime approach to their analysis and mitigation. This thesis introduces the Behavioral Map (BM) formalism that captures information from different sources (feature model, code) to automatically detect these issues. We provide behavioral map inference algorithms. Using the Smart Home Environment (SHE) as a case study, we describe how a BM is helpful to identify critical feature interactions and architectural smells. Our preliminary results already show promising progress for both feature interactions and architectural bad smells identification at runtime.
langue originale | Anglais |
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titre | SPLC '21 |
Sous-titre | Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B |
rédacteurs en chef | Mohammed Mousavi, Pierre-Yves Schobbens |
Lieu de publication | Leicester |
Editeur | ACM Press |
Pages | 13-17 |
Nombre de pages | 5 |
Volume | B |
ISBN (imprimé) | 978-1-4503-8470-4 |
Etat de la publication | Publié - 6 sept. 2021 |
Empreinte digitale
Examiner les sujets de recherche de « STARS: software technology for adaptable and reusable systems ». Ensemble, ils forment une empreinte digitale unique.Activités
- 1 Participation à une conférence, un congrès
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25th ACM International Systems and Software Product Line Conference - Workshops
Edilton Lima dos Santos (Orateur)
6 sept. 2021 → 11 sept. 2021Activité: Participation ou organisation d'un événement › Participation à une conférence, un congrès
Thèses de l'étudiant
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Behavioral Maps: A Framework to Assess and Validate Self-Adaptive Architectures at Runtime
Auteur: Lima dos Santos, E., 12 sept. 2023Superviseur: Perrouin, G. (Promoteur), Schobbens, P. (Promoteur), Remiche, M. (Président), Englebert, V. (Jury), Mens, K. (Jury) & Raibulet, C. (Personne externe) (Jury)
Student thesis: Doc types › Docteur en Sciences
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