TY - GEN
T1 - Business artifact-centric modeling for real-time performance monitoring
AU - Liu, Rong
AU - Vaculín, Roman
AU - Shan, Zhe
AU - Nigam, Anil
AU - Wu, Frederick
PY - 2011
Y1 - 2011
N2 - In activity-centric process paradigm, developing effective and efficient performance models is a hard and laborious problem with many challenges mainly because of the fragmented nature of this paradigm. In this paper, we propose a novel approach to performance monitoring based on business artifact-centric process paradigm. Business artifacts provide an appropriate base for explicit modeling of monitoring contexts. We develop a model-driven two-phase methodology for designing real-time monitoring models. This methodology allows domain experts or business users to focus on defining metric and KPI requirements while the detailed technical specification of monitoring models can be automatically generated from the requirements and underlying business artifacts. This approach dramatically simplifies design of monitoring models and also increases the understandability of monitoring results.
AB - In activity-centric process paradigm, developing effective and efficient performance models is a hard and laborious problem with many challenges mainly because of the fragmented nature of this paradigm. In this paper, we propose a novel approach to performance monitoring based on business artifact-centric process paradigm. Business artifacts provide an appropriate base for explicit modeling of monitoring contexts. We develop a model-driven two-phase methodology for designing real-time monitoring models. This methodology allows domain experts or business users to focus on defining metric and KPI requirements while the detailed technical specification of monitoring models can be automatically generated from the requirements and underlying business artifacts. This approach dramatically simplifies design of monitoring models and also increases the understandability of monitoring results.
UR - http://www.scopus.com/inward/record.url?scp=80052805928&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-23059-2_21
DO - 10.1007/978-3-642-23059-2_21
M3 - Conference contribution
AN - SCOPUS:80052805928
SN - 9783642230585
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 265
EP - 280
BT - Business Process Management - 9th International Conference, BPM 2011, Proceedings
T2 - 9th International Conference on Business Process Management, BPM 2011
Y2 - 30 August 2011 through 2 September 2011
ER -