Similarity of business process models: Metrics and evaluation
نویسندگان
چکیده
منابع مشابه
Similarity of business process models : metrics and evaluation
No other department influences the workload of a hospital more than the Department of Surgery and in particular, the activities in the operating room. These activities are governed by the master surgical schedule (MSS), which states which patient types receive surgery on which day. In this paper we describe an analytical approach to project the workload for downstream departments based on this ...
متن کاملSimilarity of business process models: Metrics and evaluation
It is common for large organizations to maintain repositories of business process models in order to document and to continuously improve their operations. Given such a repository, this paper deals with the problem of retrieving those models in the repository that most closely resemble a given process model or fragment thereof. Up to and on evaluating them in the same setting. Therefore, this p...
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Similarity search is a general class of problems in which a given object, called a query object, is compared against a collection of objects in order to retrieve those that most closely resemble the query object. This paper reviews recent work on an instance of this class of problems, where the objects in question are business process models. The goal is to identify process models in a reposito...
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Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To fulfill this purpose, they should be easy to understand and easy to maintain. For this reason, it is useful to have measures that can give us some information about understandability and maintainability of a business proce...
متن کاملQuality Metrics for Business Process Models
In the area of software engineering, quality metrics have shown their importance for good programming practices and software designs. A design developed by the help of these metrics (e.g. coupling, cohesion, complexity, modularity and size) as guiding principals is likely to be less error-prone, easy to understand, maintain, and manage, and is more efficient. Several researchers already identif...
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ژورنال
عنوان ژورنال: Information Systems
سال: 2011
ISSN: 0306-4379
DOI: 10.1016/j.is.2010.09.006