کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
396718 | 670558 | 2014 | 35 صفحه PDF | دانلود رایگان |
• This paper deals with inconsistencies that result from process interference.
• We present an approach for automated runtime process repair in case of interference.
• AI planning techniques are used to ensure consistency of process execution results.
• An architecture has been designed and a prototype has been implemented.
• The feasibility of our approach is validated using a real case scenario.
Concurrent business processes frequently suffer from mutual interference, especially in highly distributed service environments, where resources are shared among different stakeholders. Interference may be caused by supposedly stable case-related data, which are modified externally during process execution and may result in undesirable business outcomes. One way to address this problem is through the specification of dependency scopes, that cover critical parts of the process, and intervention processes, which are triggered at runtime to repair the inconsistencies. However, for complex processes, the manual specification of the appropriate intervention processes at design time can be particularly time-consuming and error-prone, while it is difficult to ensure that all important intervention cases are taken into account. To overcome this limitation, we propose an approach for automating the generation of intervention processes at runtime, by using domain-independent AI planning techniques. This way, intervention processes are composed on the fly, taking into account the characteristics of the business process in execution, the available compensation activities, and the properties that have to be fulfilled to recover from the erroneous situation. A prototype has been implemented and evaluated on a real case study of a business process from the Dutch e-Government.
Journal: Information Systems - Volume 39, January 2014, Pages 45–79