Simple Search:

Complexity metrics for executable business process


Citation

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

Abstract / Synopsis

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.


Download File

[img]
Preview
PDF (Abstract)
Complexity metrics for executable business process.pdf

Download (179kB) | Preview

Additional Metadata

Item Type: Article
Subject: Business - Software
Subject: Programming languages (Electronic computers)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.3923/itj.2010.1317.1326
Publisher: Asian Network for Scientific Information
Keywords: BPEL; Cognitive complexity; Information flow; Structural complexity; Complexity metrics
Depositing User: Umikalthom Abdullah
Date Deposited: 03 Apr 2012 07:47
Last Modified: 21 Oct 2015 00:13
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3923/itj.2010.1317.1326
URI: http://psasir.upm.edu.my/id/eprint/13725
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item