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Beamonte, R., & Dagenais, M. (2016). Detection of common problems in real-Time and multicore systems using model-based constraints. Scientific Programming, 2016, 1-18. Disponible
Biancheri, C., & Dagenais, M. (2016). Fine-grained multilayer virtualized systems analysis. Journal of Cloud Computing, 5(1), 1-14. Disponible
Biancheri, C., Ezzati-Jivan, N., & Dagenais, M. (août 2016). Multilayer virtualized systems analysis with kernel tracing [Communication écrite]. 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW 2016), Vienna, Austria (6 pages). Disponible
Côté, M., & Dagenais, M. (2016). Problem detection in real-time systems by trace analysis. Advances in Computer Engineering, 2016, 1-12. Disponible
Dagenais, M., Deschênes, J., McDonald, M., Baptiste, P., Mascle, C., Legros, R., Spreutels, L., Marinova, M., Perrier, M., & Frayret, J.-M. (2016). Les stratégies de circularité des ressources. Dans Sauvé, S., Normandin, D., & McDonald, M. (édit.), L'économie circulaire : une transition incontournable (p. 37-63). Lien externe
Desfossez, J., Desnoyers, M., & Dagenais, M. (2016). Runtime latency detection and analysis. Software: Practice and Experience, 46(10), 1397-1409. Disponible
Doray, F., & Dagenais, M. (2016). Diagnosing performance variations by comparing multi-level execution traces. IEEE Transactions on Parallel and Distributed Systems, 28(2), 462-474. Disponible
Giraldeau, F., & Dagenais, M. (2016). Wait analysis of distributed systems using kernel tracing. IEEE Transactions on Parallel and Distributed Systems, 27(8), 2450-2461. Disponible
Nemati, H., & Dagenais, M. (octobre 2016). Virtual CPU state detection and execution flow analysis by host tracing [Communication écrite]. IEEE International Conferences on Big Data and Cloud Computing, Social Computing and Networking, Sustainable Computing and Communications (BDCloud 2016) (SocialCom 2016) (SustainCom 2016), Atlanta, GA, USA (9 pages). Disponible
Prieur-Drevon, L., Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (juin 2016). Enhanced state history tree (eSHT): a stateful data structure for analysis of highly parallel system traces [Communication écrite]. IEEE International Congress on Big Data (BigData Congress 2016), San Francisco, CA, USA (8 pages). Disponible
Sharma, S. D., & Dagenais, M. (2016). Enhanced Userspace and In-Kernel Trace Filtering for Production Systems. Journal of Computer Science and Technology, 31(6), 1161-1178. Lien externe
Sharma, S. D., & Dagenais, M. (2016). Hardware-assisted instruction profiling and latency detection. The Journal of Engineering, 2016(10), 367-376. Disponible