Abstract
Change management in service based business process (SBP) is a challenging issue due to the complex dependencies between business process and involved services. A change of an activity belonging to a process may affect other activities and related services of the process. A service change may require further changes of one or multiple activities of the process. Change propagation refers to that a single change of an activity or a service causes a series of changes associated with activities and/or services. In order to deal with complicated situations of SBP changes, it is necessary to have a framework to help the change management, in particular to make the change propagation under control. In this work, a formal SBP model is defined with the Petri Net modelling language. Based on the proposed SBP model, a set of change patterns are identified as primitives for analysing complex changes. A set of data anomalies are specified based on the proposed model. A data ow anomaly detection algorithm is developed. The proposed framework for managing SBP changes can provide guidelines and an enable tool for software developers to deal with change management problems in the real world.
Original language | English |
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Title of host publication | Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2017 |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery |
Pages | 1-9 |
Number of pages | 9 |
ISBN (Print) | 9781450347686 |
DOIs | |
Publication status | Published - 2017 |
Event | Australasian Computer Science Week 2017 - Geelong, Australia Duration: 31 Jan 2017 → 3 Feb 2017 |
Other
Other | Australasian Computer Science Week 2017 |
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Country/Territory | Australia |
City | Geelong |
Period | 31/01/17 → 3/02/17 |
Keywords
- change management
- service based business process
- Petri Net
- data anomaly