A Framework for Automatic Improvement of Workflows to Meet Performance Goals

Trent Jaeger, Atul Prakash, Masayuki Ishikawa

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


Business performance improvement is arguably the most important factor in the development or reengi-neering of a business information system. We present a framework that, given a model of a business information system and a performance goal, helps determine the modifications required in the model in order to meet the performance goal. Our framework includes: (1) an executable system model based on workflows, triggers, and execution resources; (2) an execution environment that measures system performance; (3) improvement operators that can modify the system model; and (4) an automatic improvement mechanism that uses AI search techniques to guide the modification of the system model to meet a performance goal.

Original languageEnglish (US)
Pages (from-to)640-646
Number of pages7
JournalProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
StatePublished - 1994
EventProceedings of the 6th International Conference on Tools with Artificial Intelligence - New Orleans, LA, USA
Duration: Nov 6 1994Nov 9 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Science Applications

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