Validating structural metrics for BPEL process models
Business process models tend to get more and more complex with age, which hurts the ease with which designers can understand and modify them. Few metrics have been proposed to measure this complexity, and even fewer have been tested in the Business Process Execution Language (BPEL) context. In this...
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| Format: | Article |
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River Publishers
2020
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| _version_ | 1796981713672339456 |
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| author | Muketha, Geoffrey Muchiri Abd Ghani, Abdul Azim Atan, Rodziah |
| author_facet | Muketha, Geoffrey Muchiri Abd Ghani, Abdul Azim Atan, Rodziah |
| author_sort | Muketha, Geoffrey Muchiri |
| collection | UPM |
| description | Business process models tend to get more and more complex with age, which hurts the ease with which designers can understand and modify them. Few metrics have been proposed to measure this complexity, and even fewer have been tested in the Business Process Execution Language (BPEL) context. In this paper, we present three related experimental studies whose aim was to analyse the ability of four selected structural metrics to predict BPEL process model understandability and modifiability. We used Spearman’s rho and regression analysis in all three experiments. All metrics passed the correlation tests meaning that they can serve as understandability and modifiability indicators. Further, four of the metrics passed the regression test for understanding time implying that they can serve as understandability predictors. Finally, only one metric passed the regression test for modification time implying that it can serve as a modifiability predictor. |
| first_indexed | 2024-03-06T10:41:40Z |
| format | Article |
| id | upm.eprints-86477 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:41:40Z |
| publishDate | 2020 |
| publisher | River Publishers |
| record_format | dspace |
| spelling | upm.eprints-864772023-11-08T07:59:42Z http://psasir.upm.edu.my/id/eprint/86477/ Validating structural metrics for BPEL process models Muketha, Geoffrey Muchiri Abd Ghani, Abdul Azim Atan, Rodziah Business process models tend to get more and more complex with age, which hurts the ease with which designers can understand and modify them. Few metrics have been proposed to measure this complexity, and even fewer have been tested in the Business Process Execution Language (BPEL) context. In this paper, we present three related experimental studies whose aim was to analyse the ability of four selected structural metrics to predict BPEL process model understandability and modifiability. We used Spearman’s rho and regression analysis in all three experiments. All metrics passed the correlation tests meaning that they can serve as understandability and modifiability indicators. Further, four of the metrics passed the regression test for understanding time implying that they can serve as understandability predictors. Finally, only one metric passed the regression test for modification time implying that it can serve as a modifiability predictor. River Publishers 2020-10-28 Article PeerReviewed Muketha, Geoffrey Muchiri and Abd Ghani, Abdul Azim and Atan, Rodziah (2020) Validating structural metrics for BPEL process models. Journal of Web Engineering, 19 (5-6). 707 - 724. ISSN 1540-9589; ESSN: 1544-5976 https://journals.riverpublishers.com/index.php/JWE/article/view/5733 10.13052/jwe1540-9589.19566 |
| spellingShingle | Muketha, Geoffrey Muchiri Abd Ghani, Abdul Azim Atan, Rodziah Validating structural metrics for BPEL process models |
| title | Validating structural metrics for BPEL process models |
| title_full | Validating structural metrics for BPEL process models |
| title_fullStr | Validating structural metrics for BPEL process models |
| title_full_unstemmed | Validating structural metrics for BPEL process models |
| title_short | Validating structural metrics for BPEL process models |
| title_sort | validating structural metrics for bpel process models |
| work_keys_str_mv | AT mukethageoffreymuchiri validatingstructuralmetricsforbpelprocessmodels AT abdghaniabdulazim validatingstructuralmetricsforbpelprocessmodels AT atanrodziah validatingstructuralmetricsforbpelprocessmodels |