Abstract
Business process management, service-oriented architectures and software back-engineering heavily rely on the fundamental processes of mining of processes and web service business protocols from log files. Model extraction and mining aim at the (re)discovery of the behavior of a running model implementation using solely its interaction and activity traces, and no a priori information on the target model. This paper presents an approach for correlating messages and extracting the business protocol of a web service in the realistic scenario in which correlation information is entirely absent from interaction and activity logs. Correlation is achieved through deterministic computations that result in an extremely efficient method whose extensive experiments have shown its solid reliability, robustness when dealing with complex structures, and very high performance and scalability. This approach and the underlying algorithms extend what is actually possible to achieve in the web service business protocol mining domain using incomplete and noisy data logs, and opens new horizons in back-engineering of web services. The theoretical and experimental results clearly show the leap forward achieved herein.
| Original language | English |
|---|---|
| Title of host publication | ICWS 2010 - 2010 IEEE 8th International Conference on Web Services |
| Pages | 259-266 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 2010 IEEE 8th International Conference on Web Services, ICWS 2010 - Miami, FL, United States Duration: 5 Jul 2010 → 10 Jul 2010 |
Conference
| Conference | 2010 IEEE 8th International Conference on Web Services, ICWS 2010 |
|---|---|
| Country | United States |
| City | Miami, FL |
| Period | 5.7.10 → 10.7.10 |
Fingerprint
ASJC Scopus subject areas
- Computer Networks and Communications
- Software
Cite this
Message correlation and web service protocol mining from inaccurate logs. / Musaraj, Kreshnik; Yoshida, Tetsuya; Daniel, Florian; Hacid, Mohand Said; Casati, Fabio; Benatallah, Boualem.
ICWS 2010 - 2010 IEEE 8th International Conference on Web Services. 2010. p. 259-266 5552821.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Message correlation and web service protocol mining from inaccurate logs
AU - Musaraj, Kreshnik
AU - Yoshida, Tetsuya
AU - Daniel, Florian
AU - Hacid, Mohand Said
AU - Casati, Fabio
AU - Benatallah, Boualem
PY - 2010
Y1 - 2010
N2 - Business process management, service-oriented architectures and software back-engineering heavily rely on the fundamental processes of mining of processes and web service business protocols from log files. Model extraction and mining aim at the (re)discovery of the behavior of a running model implementation using solely its interaction and activity traces, and no a priori information on the target model. This paper presents an approach for correlating messages and extracting the business protocol of a web service in the realistic scenario in which correlation information is entirely absent from interaction and activity logs. Correlation is achieved through deterministic computations that result in an extremely efficient method whose extensive experiments have shown its solid reliability, robustness when dealing with complex structures, and very high performance and scalability. This approach and the underlying algorithms extend what is actually possible to achieve in the web service business protocol mining domain using incomplete and noisy data logs, and opens new horizons in back-engineering of web services. The theoretical and experimental results clearly show the leap forward achieved herein.
AB - Business process management, service-oriented architectures and software back-engineering heavily rely on the fundamental processes of mining of processes and web service business protocols from log files. Model extraction and mining aim at the (re)discovery of the behavior of a running model implementation using solely its interaction and activity traces, and no a priori information on the target model. This paper presents an approach for correlating messages and extracting the business protocol of a web service in the realistic scenario in which correlation information is entirely absent from interaction and activity logs. Correlation is achieved through deterministic computations that result in an extremely efficient method whose extensive experiments have shown its solid reliability, robustness when dealing with complex structures, and very high performance and scalability. This approach and the underlying algorithms extend what is actually possible to achieve in the web service business protocol mining domain using incomplete and noisy data logs, and opens new horizons in back-engineering of web services. The theoretical and experimental results clearly show the leap forward achieved herein.
UR - http://www.scopus.com/inward/record.url?scp=77957267188&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957267188&partnerID=8YFLogxK
U2 - 10.1109/ICWS.2010.104
DO - 10.1109/ICWS.2010.104
M3 - Conference contribution
AN - SCOPUS:77957267188
SN - 9780769541280
SP - 259
EP - 266
BT - ICWS 2010 - 2010 IEEE 8th International Conference on Web Services
ER -