Cyrine Zid, Dmytro Humeniuk, Foutse Khomh et Giuliano Antoniol
Communication écrite (2020)
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Testing heterogeneous IoT applications such as a home automation systems integrating a variety of devices poses serious challenges. Oftentimes requirements are vaguely defined. Consumer grade cyber-physical devices and software may not meet the reliability and quality standard needed. Plus, system behavior may partially depend on various environmental conditions. For example, WI-FI congestion may cause packet delay; meanwhile cold weather may cause an unexpected drop of inside temperature. We surmise that generating and executing failure exposing scenarios is especially challenging. Modeling phenomenons such as network traffic or weather conditions is complex. One possible solution is to rely on machine learning models approximating the reality. These models, integrated in a system model, can be used to define surrogate models and fitness functions to steer the search in the direction of failure inducing scenarios. However, these models also should be validated. Therefore, there should be a double loop co-evolution between machine learned surrogate models functions and fitness functions. Overall, we argue that in such complex cyber-physical systems, co-evolution and multi-hybrid approaches are needed.
Mots clés
IoT; cyber-physical systems; scenario generation; test data generation
Sujet(s): |
2600 Robotique > 2604 Applications de systèmes intelligents 2700 Technologie de l'information > 2700 Technologie de l'information 2700 Technologie de l'information > 2706 Génie logiciel |
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Département: | Département de génie informatique et génie logiciel |
Centre de recherche: | Autre |
URL de PolyPublie: | https://publications.polymtl.ca/9349/ |
Nom de la conférence: | IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW 2020) |
Lieu de la conférence: | Seoul, Republic of Korea |
Date(s) de la conférence: | 2020-06-27 - 2020-07-19 |
Maison d'édition: | ACM |
DOI: | 10.1145/3387940.3392218 |
URL officielle: | https://doi.org/10.1145/3387940.3392218 |
Date du dépôt: | 07 sept. 2023 10:00 |
Dernière modification: | 25 sept. 2024 15:45 |
Citer en APA 7: | Zid, C., Humeniuk, D., Khomh, F., & Antoniol, G. (juin 2020). Double cycle hybrid testing of hybrid distributed IoT system [Communication écrite]. IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW 2020), Seoul, Republic of Korea. https://doi.org/10.1145/3387940.3392218 |
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