Process control-flow complexity metric: An empirical validation

被引：67

作者：

Cardoso, Jorge ^{[1
]}

机构：

[1] Univ Madeira, Dept Math & Engn, P-9000390 Funchal, Portugal

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/SCC.2006.82

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Organizations are increasingly faced with the challenge of managing business processes, workflows, and, recently, Web processes. One important aspect of processes that has been overlooked is their complexity. High complexity in processes may result in bad understandability, errors, defects, and exceptions leading processes to need more time to develop, test, and maintain. Therefore, excessive complexity should be avoided. This paper describes an experiment designed to validate the Control-Flow Complexity (CFC) metric that we have proposed in our previous work. In order to demonstrate that our CFC metric serves the purpose it was defined for, we have carried out an empirical validation by means of a controlled experiment. The explanation of the steps followed to do the experiment, the results, and the conclusions obtained are the main objectives of this paper.

引用

页码：167 / 173

页数：7

共 18 条

[11]

KOCHUT KJ, 1999, METEOR MODEL VERSION

[12]

McCabe T. J., 1976, IEEE Transactions on Software Engineering, VSE-2, P308, DOI 10.1109/TSE.1976.233837

[13]

Ould MA., 1995, Business Processes: Modeling and Analysis for Re-engineering and Improvement

[14] Processes driving the networked economy [J].

Sheth, AP ;

van der Aalst, W ;

Arpinar, IB .

IEEE CONCURRENCY, 1999, 7 (03) :18-31

[15]

SIEGLE S, 1988, NONPARAMETRIC STAT B

[16]

Wastell D. G., 1994, Journal of Strategic Information Systems, V3, P23, DOI 10.1016/0963-8687(94)90004-3

[17] Experimental models for validating technology [J].

Zelkowitz, MV ;

Wallace, DR .

COMPUTER, 1998, 31 (05) :23-31

[18]

[No title captured]

← 1 2 →