Complexity metrics for executable business process
In this study, seven metrics are proposed for measuring the complexity of Executable Business Processes (EBP). The metrics are either derived from existing business process metrics or adapted from software metrics. Evaluation was carried out in three case studies with the goal of finding out if the...
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| Format: | Article |
| Language: | English English |
| Published: |
Asian Network for Scientific Information
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/13725/ http://psasir.upm.edu.my/id/eprint/13725/1/Complexity%20metrics%20for%20executable%20business%20process.pdf |
| _version_ | 1848842192257286144 |
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| author | Muketha, G.M. Abdul Ghani, Abdul Azim Selamat, Mohd Hasan Atan, Rodziah |
| author_facet | Muketha, G.M. Abdul Ghani, Abdul Azim Selamat, Mohd Hasan Atan, Rodziah |
| author_sort | Muketha, G.M. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this study, seven metrics are proposed for measuring the complexity of Executable Business Processes (EBP). The metrics are either derived from existing business process metrics or adapted from software metrics. Evaluation was carried out in three case studies with the goal of finding out if the metrics are theoretically sound and at the same time intuitional. In case 1, metrics values were computed from three processes and then analyzed to check whether they agree with reality. In case 2, the metrics were grouped into two categories of length and complexity and then separately checked for their conformance to Briand’s framework. In case 3, all the metrics were treated under one complexity category and then checked for their conformance to Weyuker’s properties. Results indicate that the new metrics are intuitional and are good if used in their respective categories, or when used together to complement each other in order to give a fuller view of process complexity. |
| first_indexed | 2025-11-15T07:55:13Z |
| format | Article |
| id | upm-13725 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:55:13Z |
| publishDate | 2010 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-137252015-10-21T00:13:15Z http://psasir.upm.edu.my/id/eprint/13725/ Complexity metrics for executable business process Muketha, G.M. Abdul Ghani, Abdul Azim Selamat, Mohd Hasan Atan, Rodziah In this study, seven metrics are proposed for measuring the complexity of Executable Business Processes (EBP). The metrics are either derived from existing business process metrics or adapted from software metrics. Evaluation was carried out in three case studies with the goal of finding out if the metrics are theoretically sound and at the same time intuitional. In case 1, metrics values were computed from three processes and then analyzed to check whether they agree with reality. In case 2, the metrics were grouped into two categories of length and complexity and then separately checked for their conformance to Briand’s framework. In case 3, all the metrics were treated under one complexity category and then checked for their conformance to Weyuker’s properties. Results indicate that the new metrics are intuitional and are good if used in their respective categories, or when used together to complement each other in order to give a fuller view of process complexity. Asian Network for Scientific Information 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13725/1/Complexity%20metrics%20for%20executable%20business%20process.pdf Muketha, G.M. and Abdul Ghani, Abdul Azim and Selamat, Mohd Hasan and Atan, Rodziah (2010) Complexity metrics for executable business process. Information Technology Journal, 9 (7). pp. 1317-1326. ISSN 1812-5638 Business - Software Programming languages (Electronic computers) 10.3923/itj.2010.1317.1326 English |
| spellingShingle | Business - Software Programming languages (Electronic computers) Muketha, G.M. Abdul Ghani, Abdul Azim Selamat, Mohd Hasan Atan, Rodziah Complexity metrics for executable business process |
| title | Complexity metrics for executable business process |
| title_full | Complexity metrics for executable business process |
| title_fullStr | Complexity metrics for executable business process |
| title_full_unstemmed | Complexity metrics for executable business process |
| title_short | Complexity metrics for executable business process |
| title_sort | complexity metrics for executable business process |
| topic | Business - Software Programming languages (Electronic computers) |
| url | http://psasir.upm.edu.my/id/eprint/13725/ http://psasir.upm.edu.my/id/eprint/13725/ http://psasir.upm.edu.my/id/eprint/13725/1/Complexity%20metrics%20for%20executable%20business%20process.pdf |