@inproceedings{9fbfb7094b4f4cf586024fb53aa9c9e0,
title = "Integrated modeling of performance monitoring with business artifacts",
abstract = "Real-time performance monitoring is an essential practice to enable sense-and-respond capability of enterprises. However, building a performance monitoring application is often arduous. We present a model-driven, systematic approach to performance monitoring based on an extended business artifact-centric process model. In this approach, business artifacts provide a means of tracking resource utilization in processes. Monitoring contexts and inbound event definitions are derived from the artifact model and can be configured for target performance measures. During process execution, inbound events are collected in a timely manner and fed into the monitoring contexts to calculate performance measures and detect situations. Thus, we turn performance monitoring into an integrated part of business process modeling to achieve accelerated development.",
keywords = "Business artifact, Metric, Monitoring context, Performance measure, Performance monitoring",
author = "Rong Liu and Anil Nigam and Jeng, {Jun Jang} and Shieh, {Chian Rou} and Wu, {Frederick Y.}",
year = "2010",
doi = "10.1109/ICEBE.2010.63",
language = "English",
isbn = "9780769542270",
series = "Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010",
pages = "64--71",
booktitle = "Proceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010",
note = "IEEE International Conference on E-Business Engineering, ICEBE 2010 ; Conference date: 10-11-2010 Through 12-11-2010",
}