Mining lifecycle event logs for enhancing service-based applications (Contributo in volume (capitolo o saggio))

Type
Label
  • Mining lifecycle event logs for enhancing service-based applications (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.4018/978-1-4666-2089-6.ch007 (literal)
Alternative label
  • Dustdar S., Leitner P., Nardini F. M., Silvestri F., Tolomei G. (2012)
    Mining lifecycle event logs for enhancing service-based applications
    Information Science Reference, Hershey (Stati Uniti d'America) in Adaptive Web Services for Modular and Reusable Software Development: Tactics and Solutions, 2012
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Dustdar S., Leitner P., Nardini F. M., Silvestri F., Tolomei G. (literal)
Pagina inizio
  • 196 (literal)
Pagina fine
  • 206 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Part of the Advances in Web Technologies and Engineering (AWTE) Book Series Grant agreement 215483 Tipo Progetto EU_FP7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.igi-global.com/chapter/mining-lifecycle-event-logs-enhancing/69474 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Adaptive Web Services for Modular and Reusable Software Development: Tactics and Solutions (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 32 (literal)
Note
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Vienna University of Technology, Austria; Vienna University of Technology, Austria; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; (literal)
Titolo
  • Mining lifecycle event logs for enhancing service-based applications (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9781466620896 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Guadalupe Ortiz, Javier Cubo (literal)
Abstract
  • Service-Oriented Architectures (SOAs), and traditional enterprise systems in general, record a variety of events (e.g., messages being sent and received between service components) to proper log files, i.e., event logs. These files constitute a huge and valuable source of knowledge that may be extracted through data mining techniques. To this end, process mining is increasingly gaining interest across the SOA community. The goal of process mining is to build models without a priori knowledge, i.e., to discover structured process models derived from specific patterns that are present in actual traces of service executions recorded in event logs. However, in this work, the authors focus on detecting frequent sequential patterns, thus considering process mining as a specific instance of the more general sequential pattern mining problem. Furthermore, they apply two sequential pattern mining algorithms to a real event log provided by the Vienna Runtime Environment for Service-oriented Computing, i.e., VRESCo. The obtained results show that the authors are able to find services that are frequently invoked together within the same sequence. Such knowledge could be useful at design-time, when service-based application developers could be provided with service recommendation tools that are able to predict and thus to suggest next services that should be included in the current service composition. (literal)
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