Business process mining: An industrial application
Information Systems
Feature-level phase detection for execution trace using object cache
WODA '08 Proceedings of the 2008 international workshop on dynamic analysis: held in conjunction with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2008)
A cost-benefit framework for making architectural decisions in a business context
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
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Software maintenance of business application software such as adding new functions and anti-aging should be performed cost-effectively. Information such as grouping of business activities that are executed as a unit, source code which corresponds to the activities, and the execution volume of the activities is useful for deciding on what areas of business application software to invest in, and prioritizing maintenance requests. We propose a new method which extracts such information using the BPM-E process mining tool we have developed. The method was applied to in-house business systems; the results showed that the method successfully extracted the grouping of events, but that there are accuracy issues in associating events with source code.