Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models
Date
2011-05-25
Author
Esgin, Eren
Karagöz, Pınar
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
230
views
0
downloads
Cite This
Business process management (BPM) continues to play a significant role in today's highly globalized world. In order to detect and prevent the gap between reference process model and the actual operation, process mining techniques discover operational model on the basis of the process logs. An important issue at BPM is to measure the similarity between the reference process model and discovered process model so that it can be possible to pinpoint where process participants deviate from the intended process description. In this paper, a hybrid quantitative approach is presented to measure the similarity between the process models. The proposed similarity metric is based on a hybrid process mining technique that makes use of genetic algorithms. The proposed approach itself is also a hybrid model that considers process activity dependencies and process structure.
Subject Keywords
Similarity measurement
,
Process modeling
,
Process mining
,
Delta analysis
,
Business process management (BPM)
URI
https://hdl.handle.net/11511/62506
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Sequence Alignment Adaptation for Process Diagnostics and Delta Analysis
Esgin, Eren; Karagöz, Pınar (2013-09-13)
Business process management (BPM) paradigm gains growing attention by providing generic process design and execution capabilities. During execution, many business processes leave casual footprints (event logs) at these transactional information systems. Process mining aims to extract business processes by distilling event logs for knowledge. Sequence alignment is a technique that is frequently used in domains including bioinformatics, language/text processing and finance. It aims to arrange structures, such...
An investigation of the relationship between joint visual attention and product quality in collaborative business process modeling: a dual eye-tracking study
Fındık Coşkunçay, Duygu; Çakır, Murat Perit (2022-02-01)
Collaborative business process modeling is a collective activity where team members jointly discuss, design, and document business processes. During such activities, team members need to communicate with each other to coordinate the modeling activities, propose and justify changes, and negotiate common terms and definitions. Throughout this process, stakeholders should be aware of when and what kind of changes have been made by each team member on the shared space so that they can discuss design ideas and b...
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Esgin, Eren; Karagöz, Pınar (2011-07-01)
Although contemporary information systems are intensively utilized in enterprises, their actual impact in automating complex business process is still constrained by the difficulties coincided in design phase. In this study, a hybrid data analysis methodology to business process modeling that is based on using from-to chart is further enhanced to discover connection types and include in the process model. From-to chart is basically used as the front-end to figure out the observed transitions among the activ...
A Taxonomy for Personal Processes: Results from a Semi-structured Interview
Oruç, Sercan; Eren, Pekin Erhan; Koçyiğit, Altan; Yeralan, Sencer (2019-01-01)
There are few studies conducted on personal processes within the Business Process Management (BPM) domain. Personal processes are looser and more context- and person-dependent compared to the clearly defined business processes. This makes it more challenging to create solutions in this domain. In this study, a taxonomy is developed for personal processes. We used the data collected from semi-structured interviews that we have conducted with a diverse population. We built a taxonomy with 4 classes and 22 sub...
Unified Process Modeling with UPROM Tool
Aysolmaz, Banu; Demirörs, Onur (2014-06-20)
UPROM tool is a business process modeling tool designed to conduct business process and user requirements analysis in an integrated way to constitute a basis for process automation. Usually, business process models are not utilized systematically to develop related artifacts, specifically when a process-aware information system is to be developed to automate those processes. This results in completeness, consistency and maintainability problems for those artifacts. Unified business process modeling methodol...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Esgin and P. Karagöz, “Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models,” 2011, vol. 6678, p. 296, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62506.