Towards Classification Criteria for Process Fragmentation Techniques

Mancioppi, Michele; Danylevych, Olha; Karastoyanova, Dimka; Leymann, Frank

doi:10.1007/978-3-642-28108-2_1

Cited by 17 publications

(20 citation statements)

References 13 publications

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“…To the best of our knowledge, most of the existing process fragment definitions have only considered the practical implications of their work and little, if any, have performed substantial theoretical analysis (Mancioppi and Danylevych 2012). In this paper, we investigate the use of ontological theories for the theoretical analysis of process fragment definitions.…”

Section: Introductionmentioning

confidence: 99%

Mining variable fragments from process event logs

2016

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Many peer-organizations are now using processaware information systems for managing their organizational processes. Most of these peer-organizations have shared processes, which include many commonalities and some degrees of variability. Analyzing and mining the commonalities of these processes can have many benefits from the reusability point of view. In this paper, we propose an approach for extracting common process fragments from a collection of event logs. To this end, we first analyze the process fragment literature from a theoretical point of view, based on which we present a new process fragment definition, called morphological fragments to support composability and flexibility. Then we propose a novel algorithm for extracting such morphological fragments directly from process event logs. This algorithm is capable of eliciting common fragments from a family of processes that may not have been executed within the same application/organization. We also propose supporting algorithms for detecting and categorizing morphological fragments for the purpose of reusability. Our empirical studies show that our approach is able to support reusability and flexibility in process fragment identification.

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Section: Introductionmentioning

confidence: 99%

Mining variable fragments from process event logs

2016

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“…Service fragmentation, as a form of adaptation, has been surveyed by Mancioppi et al [27]. In this paper, we are dealing with the problem of deciding which activities in the original composition should be assigned to which fragments, and we choose the information content described by data attributes to be the criterion.…”

Section: Related Workmentioning

confidence: 99%

“…1, in Prolog notation (comments start with "%", and " " is written as ":-"). Lines 16-22 show a clause for predicate a26c that models data dependencies from a 26 to the finish, i.e., for a 26 and a 27 . We use the same labels for data items and service state from Fig.…”

Section: Generating Horn Clause Representationsmentioning

confidence: 99%

“…11a represents only the inputs to the activity with the same name). The attribute inheritance relation tells us that the activities can be grouped into four groups: 27 handles the buyer's credit card details (c), the invoice (i), and the state of the seller's account (w 4 ) to produce the shipment notice (n). This job is best handled by the seller.…”

Section: Fig 11mentioning

confidence: 99%

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A sharing-based approach to supporting adaptation in service compositions

2012

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Data-related properties of the activities involved in a service composition can be used to facilitate several design-time and run-time adaptation tasks, such as service evolution, distributed enactment, and instance-level adaptation. A number of these properties can be expressed using a notion of sharing. We present an approach for automated inference of data properties based on sharing analysis, which is able to handle service compositions with complex control structures, involving loops and sub-workflows. The properties inferred can include data dependencies, information content, domain-defined attributes, privacy or confidentiality levels, among others. The analysis produces characterizations of the data and the activities in the composition in terms of minimal and maximal sharing, which can then be used to verify compliance of potential adaptation actions, or as supporting information in their generation. This sharing analysis approach can be used both at design time and at run time. In the latter case, the results of analysis can be refined using the composition traces (execution logs) at the point of execution, in order to support run-time adaptation.

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“…Mancioppi et al [13] study the process fragmentation problem-identifying process fragments, a subset of process elements (i.e., constituent services), from a process model (i.e., a composition) for optimizing quality of service, simplifying and analyzing process models, and enabling the reuse of process fragments. In our approach, we make no assumption on how to fragment the composition.…”

Section: Literaturementioning

confidence: 99%

Behind the Curtain: Service Selection via Trust in Composite Services

Hang

Kalia

Singh

2012

2012 IEEE 19th International Conference on Web Services

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Abstract-Service selection, where some of the services are accessed indirectly as constituents of composite services, is difficult for the following reasons: (1) the interpretation of service qualities is subjective; (2) evidence must be combined from multiple sources; (3) service profiles change dynamically; and (4) constituent services may be only partially observable behind composite services. We propose an approach where we map service qualities to a common probabilistic trust metric. Whereas current trust approaches estimate the trustworthiness of a composite service based on a fully observable and static setting, we propose a statistical approach built on expectation maximized over a finite mixture model. Our experiments show that our approach can dynamically punish or reward the constituents of composite services while making only partial observations.

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Towards Classification Criteria for Process Fragmentation Techniques

Cited by 17 publications

References 13 publications

Mining variable fragments from process event logs

Mining variable fragments from process event logs

A sharing-based approach to supporting adaptation in service compositions

Behind the Curtain: Service Selection via Trust in Composite Services

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