| Workflow management versus case handling: results from a controlled software experiment |
| Full text |
Pdf
(444 KB)
|
| Source
|
Symposium on Applied Computing
archive
Proceedings of the 2008 ACM symposium on Applied computing
table of contents
Fortaleza, Ceara, Brazil
SESSION: Coordination models, languages and applications
table of contents
Pages 82-89
Year of Publication: 2008
ISBN:978-1-59593-753-7
|
|
Authors
|
|
| Sponsor |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 7, Downloads (12 Months): 118, Citation Count: 1
|
|
|
ABSTRACT
Business Process Management (BPM) technology has become an important instrument for improving process performance. When considering its use, however, enterprises typically have to rely on vendor promises or qualitative reports. What is still missing and what is also demanded by IT decision makers are quantitative evaluations based on empirical and experimental research. This paper picks up this demand and illustrates how experimental research can be applied in the BPM field. The conducted experiment compares efforts for implementing a sample business process either based on standard workflow technology or on a case handling system. We motivate and describe the experiment design, discuss threats for the validity of experiment results (as well as risk mitigations), and present experiment results. In general, more experimental research is needed in order to obtain more valid data on the various aspects and effects of BPM technology and tools.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
Y. L. Antonucci. Using Workflow Technologies to improve Organizational Competitiveness. Int'l. J. of Management, 14(1), pp.117--126, 1997.
|
| |
2
|
P. Athena. Case Handling with FLOWer: Beyond Workflow. 2002.
|
| |
3
|
|
| |
4
|
M. Dumas, W. M. P. van der Aalst, and A. ter Hofstede. Process-aware IS. Wiley, 2005.
|
| |
5
|
N. Juristo and A. M. Moreno. Basics of Software Engineering Experimentation. 2001.
|
| |
6
|
N. Kleiner. Can Business Process Changes Be Cheaper Implemented with Workflow-Management-Systems? IRMA 2004, pp.529--532.
|
| |
7
|
C. M. Lott and H. D. Rombach. Repeatable Software Engineering Experiments for Comparing Defect-Detection Techniques. Empirical Software Engineering, 1(3), pp. 241--277, 1996.
|
| |
8
|
B. Mutschler, M. Reichert, and J. Bumiller. Unleashing the Effectiveness of Process-oriented Information Systems: Problem Analysis, Critical Success Factors, Implications. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Application and Reviews, 2008 (accepted for publication).
|
| |
9
|
B. Mutschler, M. Reichert, and S. Rinderle. Analyzing the Dynamic Cost Factors of Process-aware IS: A Model-based Approach. CAiSE 2007.
|
 |
10
|
|
| |
11
|
|
| |
12
|
L. Prechelt. Controlled Experiments in Software Engineering (in German). Springer, 2001.
|
| |
13
|
P. Reason and H. Bradbury. Handbook of Action Research. 2001.
|
| |
14
|
H. A. Reijers and W. M. P. van der Aalst. The Effectiveness of Workflow Management Systems - Predictions and Lessons Learned. Int'l. J. of Inf. Manag., 25(5), pp.457--471, 2005.
|
| |
15
|
P. Runeson. Using Students as Experiment Subjects. EASE 2003.
|
| |
16
|
D. J. Sheskin. Handbook of Parametric and Nonparametric Statistical Procedures. 2000.
|
| |
17
|
Dag I. K. Sjoberg , Jo E. Hannay , Ove Hansen , Vigdis By Kampenes , Amela Karahasanovic , Nils-Kristian Liborg , Anette C. Rekdal, A Survey of Controlled Experiments in Software Engineering, IEEE Transactions on Software Engineering, v.31 n.9, p.733-753, September 2005
[doi> 10.1109/TSE.2005.97]
|
| |
18
|
Tibco. Staffware Process Suite. User Manual, 2005.
|
| |
19
|
|
| |
20
|
W. M. P. van der Aalst and K. van Hee. Workflow Management. MIT Press, 2004.
|
| |
21
|
|
| |
22
|
B. Weber, S. Rinderle, and M. Reichert. Change patterns and change support features in process-aware is. CAiSE 2007.
|
| |
23
|
|
|