Выдержка
Automatically monitoring and enforcing compliance of service-based business processes with laws, regulations, standards, contracts, or policies is a hot issue in both industry and research. Little attention has however been paid to the problem of understanding non-compliance and improving business practices to prevent non-compliance in the future, a task that typically still requires human interpretation and intervention. Building upon work on automated detection of non-compliant situations, in this paper we propose a technique for the root-cause analysis of encountered problems and for the prediction of likely compliance states of running processes that leverages (i) on event-based service infrastructures, in order to collect execution evidence, and (ii) on the concept of key compliance indicator, in order to focus the analysis on the right data. We validate our ideas and algorithms on real data from an internal process of a hospital.
| Язык оригинала | Английский |
|---|---|
| Название основной публикации | Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers |
| Страницы | 277-288 |
| Число страниц | 12 |
| Том | 6385 LNCS |
| DOI | |
| Состояние | Опубликовано - 2010 |
| Опубликовано для внешнего пользования | Да |
| Событие | 10th International Conference on Web Engineering, ICWE 2010 - Vienna, Австрия Продолжительность: 5 июл 2010 → 9 июл 2010 |
Серия публикаций
| Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Том | 6385 LNCS |
| ISSN (печатное издание) | 0302-9743 |
| ISSN (электронное издание) | 1611-3349 |
Конференция
| Конференция | 10th International Conference on Web Engineering, ICWE 2010 |
|---|---|
| Страна | Австрия |
| Город | Vienna |
| Период | 5.7.10 → 9.7.10 |
Отпечаток
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Цитировать
Analyzing compliance of service-based business processes for root-cause analysis and prediction. / Rodríguez, Carlos; Silveira, Patrícia; Daniel, Florian; Casati, Fabio.
Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers. Том 6385 LNCS 2010. стр. 277-288 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 6385 LNCS).Результат исследований: Материалы для книги/типы отчетов › Материалы для конференции
}
TY - GEN
T1 - Analyzing compliance of service-based business processes for root-cause analysis and prediction
AU - Rodríguez, Carlos
AU - Silveira, Patrícia
AU - Daniel, Florian
AU - Casati, Fabio
PY - 2010
Y1 - 2010
N2 - Automatically monitoring and enforcing compliance of service-based business processes with laws, regulations, standards, contracts, or policies is a hot issue in both industry and research. Little attention has however been paid to the problem of understanding non-compliance and improving business practices to prevent non-compliance in the future, a task that typically still requires human interpretation and intervention. Building upon work on automated detection of non-compliant situations, in this paper we propose a technique for the root-cause analysis of encountered problems and for the prediction of likely compliance states of running processes that leverages (i) on event-based service infrastructures, in order to collect execution evidence, and (ii) on the concept of key compliance indicator, in order to focus the analysis on the right data. We validate our ideas and algorithms on real data from an internal process of a hospital.
AB - Automatically monitoring and enforcing compliance of service-based business processes with laws, regulations, standards, contracts, or policies is a hot issue in both industry and research. Little attention has however been paid to the problem of understanding non-compliance and improving business practices to prevent non-compliance in the future, a task that typically still requires human interpretation and intervention. Building upon work on automated detection of non-compliant situations, in this paper we propose a technique for the root-cause analysis of encountered problems and for the prediction of likely compliance states of running processes that leverages (i) on event-based service infrastructures, in order to collect execution evidence, and (ii) on the concept of key compliance indicator, in order to focus the analysis on the right data. We validate our ideas and algorithms on real data from an internal process of a hospital.
KW - Compliance
KW - Decision Trees
KW - Root-Cause Analysis
KW - SOA
UR - http://www.scopus.com/inward/record.url?scp=78649848392&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649848392&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16985-4_25
DO - 10.1007/978-3-642-16985-4_25
M3 - Conference contribution
AN - SCOPUS:78649848392
SN - 3642169848
SN - 9783642169847
VL - 6385 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 277
EP - 288
BT - Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers
ER -