Service Interaction: Patterns, Formalization, and Analysis

Aalst, Wil M. P. van der; Mooij, Arjan J.; Stahl, Christian; Wolf, Karsten

doi:10.1007/978-3-642-01918-0_2

Cited by 77 publications

(60 citation statements)

References 37 publications

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“…The binding step in our approach is related to topic of event correlation which has been investigated in the (web) services [4]. In [8] and [17] various interaction and correlation patterns are described. In [44] a technique is presented for correlating messages with the goal to visualize the execution of web services.…”

Section: Related Workmentioning

confidence: 99%

Extracting Event Data from Databases to Unleash Process Mining

Aalst

2015

Management for Professionals

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Abstract. Increasingly organizations are using process mining to understand the way that operational processes are executed. Process mining can be used to systematically drive innovation in a digitalized world. Next to the automated discovery of the real underlying process, there are process-mining techniques to analyze bottlenecks, to uncover hidden inefficiencies, to check compliance, to explain deviations, to predict performance, and to guide users towards "better" processes. Dozens (if not hundreds) of process-mining techniques are available and their value has been proven in many case studies. However, process mining stands or falls with the availability of event logs. Existing techniques assume that events are clearly defined and refer to precisely one case (i.e. process instance) and one activity (i.e., step in the process). Although there are systems that directly generate such event logs (e.g., BPM/WFM systems), most information systems do not record events explicitly. Cases and activities only exist implicitly. However, when creating or using process models "raw data" need to be linked to cases and activities. This paper uses a novel perspective to conceptualize a database view on event data. Starting from a class model and corresponding object models it is shown that events correspond to the creation, deletion, or modification of objects and relations. The key idea is that events leave footprints by changing the underlying database. Based on this an approach is described that scopes, binds, and classifies data to create "flat" event logs that can be analyzed using traditional process-mining techniques.

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Section: Related Workmentioning

confidence: 99%

Extracting Event Data from Databases to Unleash Process Mining

Aalst

2015

Management for Professionals

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“…Van der Aalst et al [1] propose a solution to behavioural adaptation based on open nets, a variant of Petri nets. Their generation algorithm produces an adapter which is obtained through several steps.…”

Section: Related Workmentioning

confidence: 99%

Model-Based Adaptation of Software Communicating via FIFO Buffers

Canal

Salaün

2015

Fundamental Approaches to Software Engineering

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Abstract. Software Adaptation is a non-intrusive solution for composing black-box components or services (peers) whose individual functionality is as required for the new system, but that present interface mismatch, which leads to deadlock or other undesirable behaviour when combined. Adaptation techniques aim at automatically generating new components called adapters. All the interactions among peers pass through the adapter, which acts as an orchestrator and makes the involved peers work correctly together by compensating for mismatch. Most of the existing solutions in this field assume that peers interact synchronously using rendezvous communication. However, many application areas rely on asynchronous communication models where peers interact exchanging messages via buffers. Generating adapters in this context becomes a difficult problem because peers may exhibit cyclic behaviour, and their composition often results in infinite systems. In this paper, we present a method for automatically generating adapters in asynchronous environments where peers interact using FIFO buffers.

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“…However, most of them assume that peers interact synchronously, see, e.g., [8,21,16,15,13,2] for a few recent results. There were a few attempts to generate adapters considering asynchronous communication.…”

Section: Related Workmentioning

confidence: 99%

Adaptation of Asynchronously Communicating Software

Canal

Salaün

2014

Service-Oriented Computing

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Abstract. Software adaptation techniques aim at generating new components called adapters, which make a set of services work correctly together by compensating for existing mismatch. Most approaches assume that services interact synchronously using rendez-vous communication.In this paper, we focus on asynchronous communication, where services interact exchanging messages via buffers. We overview a method for automatically generating adapters in such asynchronous environments.

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Service Interaction: Patterns, Formalization, and Analysis

Cited by 77 publications

References 37 publications

Extracting Event Data from Databases to Unleash Process Mining

Extracting Event Data from Databases to Unleash Process Mining

Model-Based Adaptation of Software Communicating via FIFO Buffers

Adaptation of Asynchronously Communicating Software

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