Analyzing compliance of service-based business processes for root-cause analysis and prediction

Carlos Rodríguez, Patrícia Silveira, Florian Daniel, Fabio Casati

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

5 Цитирования (Scopus)

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 оригиналаАнглийский
Название основной публикацииCurrent Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers
Страницы277-288
Число страниц12
Том6385 LNCS
DOI
СостояниеОпубликовано - 2010
Опубликовано для внешнего пользованияДа
Событие10th International Conference on Web Engineering, ICWE 2010 - Vienna, Австрия
Продолжительность: 5 июл 20109 июл 2010

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том6385 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция10th International Conference on Web Engineering, ICWE 2010
СтранаАвстрия
ГородVienna
Период5.7.109.7.10

Отпечаток

Business Process
Compliance
Noncompliance
Roots
Prediction
Industry
Leverage
Infrastructure
Likely
Monitoring
Internal

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Цитировать

Rodríguez, C., Silveira, P., Daniel, F., & Casati, F. (2010). Analyzing compliance of service-based business processes for root-cause analysis and prediction. В Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers (Том 6385 LNCS, стр. 277-288). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 6385 LNCS). https://doi.org/10.1007/978-3-642-16985-4_25

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 отчетовМатериалы для конференции

Rodríguez, C, Silveira, P, Daniel, F & Casati, F 2010, Analyzing compliance of service-based business processes for root-cause analysis and prediction. в Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers. том. 6385 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 6385 LNCS, стр. 277-288, Vienna, Австрия, 5.7.10. https://doi.org/10.1007/978-3-642-16985-4_25
Rodríguez C, Silveira P, Daniel F, Casati F. Analyzing compliance of service-based business processes for root-cause analysis and prediction. В 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)). https://doi.org/10.1007/978-3-642-16985-4_25
Rodríguez, Carlos ; Silveira, Patrícia ; Daniel, Florian ; Casati, Fabio. / Analyzing compliance of service-based business processes for root-cause analysis and prediction. 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)).
@inproceedings{b23d916dc57444cfa4f4b6cfae846476,
title = "Analyzing compliance of service-based business processes for root-cause analysis and prediction",
abstract = "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.",
keywords = "Compliance, Decision Trees, Root-Cause Analysis, SOA",
author = "Carlos Rodr{\'i}guez and Patr{\'i}cia Silveira and Florian Daniel and Fabio Casati",
year = "2010",
doi = "10.1007/978-3-642-16985-4_25",
language = "English",
isbn = "3642169848",
volume = "6385 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "277--288",
booktitle = "Current Trends in Web Engineering - 10th International Conference on Web Engineering, ICWE 2010 Workshops, Revised Selected Papers",

}

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 -