Title
A Method for Goal Model Repair Based on Process Mining
Abstract
In order to keep up with a changing business environment, organizations need to understand their current business processes and business goals. The business process model and the goal model are complementary elements and are effective means for describing the present state of the organization. There are various methods to repair these models, but in order to analyze the current state of the organization, it is necessary to analyze not only these conceptual models but also logs of organizational daily operations. Although process mining is an effective means, there is no established technique for repairing both goal models and business process models according to logs. In this paper, we propose a pattern-based method to repair goal models dealing with the repair of business process models. By doing so, it is possible to analyze the current situation of business processes and business goals while maintaining the relationship between the goal model and the business process model. We represented the effectiveness of our method by carrying out a case study.
Year
DOI
Venue
2019
10.1109/SNPD.2019.8935771
2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
Keywords
Field
DocType
Requirements Engineering,Business Process Management,Goal Modeling,Process Mining
Business process management,Business process,Conceptual model,Computer science,Business environment,Requirements engineering,Artificial intelligence,Goal modeling,Business process modeling,Machine learning,Process mining,Process management
Conference
ISBN
Citations 
PageRank 
978-1-7281-1652-5
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Hiroki Horita100.34
Hideaki Hirayama2103.89
Takeo Hayase362.66
Yasuyuki Tahara416349.16
Akihiko Ohsuga528373.35