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Article Dans Une Revue Data and Knowledge Engineering Année : 2016

Performance assessment architecture for collaborative business processes in BPM-SOA-based environment

Résumé

To be competitive and flexible, companies engage in collaborations to develop and share their competences in order to cope with the dynamic environment. Collaborative business process evaluation helps to reflect the actual functioning of business process and their performance level. In this perspective, research in assessing collaborative business process performance presents relevant guidelines in order to adapt IT solutions when business requirements evolve. In this paper, we present an analysis and assessment approach for collaborative business processes in the service-oriented architecture in order to maintain their performance in competitive markets. Our approach proposes an evaluation method using execution traces of business process combined with a high-level assessment method using key performance indicators. Our main objectives are to track the execution of collaborative business process and to analyze the performance trajectory of a business process regarding the business performance level. To collect and structure the performance knowledge (execution and measurement), we create an ontological model-based knowledge repository in order to enrich the semantics of an evaluation business process. The precise track of execution data in our approach is able to identify events that disrupt the proper functioning of processes at the runtime. From an industrial case study, we can conclude that our ontological approach can target the performance assessment of collaborative business processes effectively.
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Dates et versions

hal-01575869 , version 1 (21-08-2017)

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Maroua Hachicha, Muhammad Fahad, Néjib Moalla, Yacine Ouzrout. Performance assessment architecture for collaborative business processes in BPM-SOA-based environment. Data and Knowledge Engineering, 2016, 105, pp.73-89. ⟨10.1016/j.datak.2015.12.002⟩. ⟨hal-01575869⟩
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