BProVe: Tool support for business process verification

Corradini, Flavio; Fornari, Fabrizio; Polini, Andrea; Re, Barbara; Tiezzi, Francesco; Vandin, Andrea

doi:10.1109/ase.2017.8115708

Cited by 7 publications

(5 citation statements)

References 24 publications

(27 reference statements)

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“…In order to obtain a formal verification approach for such standard, we had first to make this semantics formal in [15]. This formal semantics has been then implemented in the form of an executable interpreter in MAUDE in [17,18]. The full MAUDE implementation of our BPMN interpreter is available at https: //github.com/PROSLab/BPMNOS-Maude.…”

Section: Bpmn Operational Semanticsmentioning

confidence: 99%

“…We set the and values describing the required confidence interval (see Section 5.2) to 0.1 and 0.15, respectively. 18 We used the automatic parallelisation feature provided by MULTIVESTA [54]) using 3 cores of the machine to parallelise the simulations. Finally we defined a time limit of 600 seconds considering it as the maximum amount of time a user, adopting the development model presented in Section 3, may wait for receiving a response from the tool; we use this time limit to run our tests and to timeout the computations that exceed such limit.…”

Section: Experimental Evaluationmentioning

confidence: 99%

“…We have chosen those repositories because they have been already successfully used for validation purposes elsewhere (e.g., [11,68,62,43,60]). In [17,18] we used the former repository to evaluate a preliminary version of our approach and tool-chain, involving only LTL model checking. 21 https://bpmai.org/download/ 22 https://github.com/camunda/bpmn-for-research…”

Section: Experiments On Models From Open Repositoriesmentioning

confidence: 99%

See 2 more Smart Citations

A formal approach for the analysis of BPMN collaboration models

Corradini

Fornari

Polini

et al. 2021

Journal of Systems and Software

Self Cite

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Section: Bpmn Operational Semanticsmentioning

confidence: 99%

Section: Experimental Evaluationmentioning

confidence: 99%

Section: Experiments On Models From Open Repositoriesmentioning

confidence: 99%

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A formal approach for the analysis of BPMN collaboration models

Corradini

Fornari

Polini

et al. 2021

Journal of Systems and Software

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“…Our work focuses on sequential patterns. Moreover, because of the similarity of web service composition and business process modelling [22], our methods can be applied to the analysis and optimisation of business processes, which would complement the existing approaches [23][24][25].…”

Section: Related Workmentioning

confidence: 99%

Probabilistic analysis of QoS‐aware service composition with explicit environment models

et al. 2020

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In service composition, quality-of-service (QoS) represents a crucial indicator for the policy adoption. Existing composition strategies rarely address the influence of the environment, which may influence QoS and thus lead to sub-optimal composition policies in a dynamic environment. In this study, a model-based service composition approach is proposed. Given the user request, it is possible to first find a set of matching abstract web services (AWSs), and then pull relevant concrete web services (CWSs) based on the AWSs. The set of CWSs can be modelled as a Markov decision process (MDP). In addition, the authors model the environment as a fully probabilistic system, capturing changes of environment probabilistically. The environment model can be further composed of the MDP from the service models, obtaining a monolithic MDP. They demonstrate how the probabilistic verification techniques can be used to find the optimal service selection strategy against their QoS and the environment change. A distinguishing feature of their approach is that the QoS, as well as the dynamic of environment change, is made parametric so that the formal analysis is adaptive to the environment which is of paramount importance for autonomous and self-adaptive systems. Examples and experiments confirm the feasibility of their approach.

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“…4 a typical usage scenario, while the interested reader can find further information on the tool and its usage in [36]. The considered scenario shows all the interactions between a User and the tool chain main components.…”

Section: Bprove Tool Chainmentioning

confidence: 99%

BProVe: A formal verification framework for business process models

Corradini

Fornari

Polini

et al. 2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

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Abstract-Business Process Modelling has acquired increasing relevance in software development. Available notations, such as BPMN, permit to describe activities of complex organisations. On the one hand, this shortens the communication gap between domain experts and IT specialists. On the other hand, this permits to clarify the characteristics of software systems introduced to provide automatic support for such activities. Nevertheless, the lack of formal semantics hinders the automatic verification of relevant properties.This paper presents a novel verification framework for BPMN 2.0, called BProVe. It is based on an operational semantics, implemented using MAUDE, devised to make the verification general and effective. A complete tool chain, based on the Eclipse modelling environment, allows for rigorous modelling and analysis of Business Processes. The approach has been validated using more than one thousand models available on a publicly accessible repository. Besides showing the performance of BProVe, this validation demonstrates its practical benefits in identifying correctness issues in real models.

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BProVe: Tool support for business process verification

Cited by 7 publications

References 24 publications

A formal approach for the analysis of BPMN collaboration models

A formal approach for the analysis of BPMN collaboration models

Probabilistic analysis of QoS‐aware service composition with explicit environment models

BProVe: A formal verification framework for business process models

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