@inproceedings{bbd55caa1b794d6f8ad67ceb92f3cd15,
title = "Detecting and tackling run-time obstacles in social business processes",
abstract = "This paper presents an approach for detecting and tackling obstacles that could fail the execution of social business processes. Existing approaches target regular (non-social) business processes and thus, rely mainly on business logs that contain details such as who executes what, when, and where. However, interactions between a business process's three components namely task, machine, and person, are overlooked. This deprives process engineers from valuable details that could help detect and tackle obstacles. These details refer to task-2-task, machine-2-machine, and person-2-person interactions and are recorded in social logs. Both business and social logs are part of an architecture that includes monitor, solver, and crawler components. A system implementing the architecture is also presented in the paper and illustrates how logs are developed and structured using eXtensible Event Stream format.",
keywords = "Business process, Log, Obstacle, Social interaction",
author = "Zakaria Maamar and Mohamed Sellami and Noura Faci and Sylvain Lefebvre",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 ; Conference date: 27-03-2017 Through 29-03-2017",
year = "2017",
month = may,
day = "5",
doi = "10.1109/AINA.2017.38",
language = "English",
series = "Proceedings - International Conference on Advanced Information Networking and Applications, AINA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "371--378",
editor = "Leonard Barolli and Makoto Takizawa and Tomoya Enokido and Hui-Huang Hsu and Chi-Yi Lin",
booktitle = "Proceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017",
}