Towards an approach of formal verification of mediation protocol based on web services of MDE type

Graiet, Mohamed; Maraoui, Raoudha; Kmimech, Mourad; Bhiri, Mohamed Tahar; Gaaloul, Walid

doi:10.1108/17440081211222582

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Verification is done at design and runtime using the event calculus formalism. Moreover, authors in [14] propose a formal approach to verify the transactional behavior of web services composition using Event-B formalism [3]. However, these approaches have mainly focused on verifying control flow and transactional behavior of services and have neglected the resource perspective.…”

Section: Related Workmentioning

confidence: 99%

Formal Verification of Cloud Resource Allocation in Business Processes Using Event-B

Boubaker¹,

Mammar²,

Graiet³

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

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Nowadays, a growing number of companies are using Cloud Computing to optimize their business processes by using dynamically scalable and often virtualized resources on demand. Nevertheless, due to the lack of explicit and formal description of the resource perspective in existing business processes, Cloud resource allocation behavior cannot be efficiently and correctly managed. In this paper, we aim at formally verifying resource allocation in business processes using Event-B. More precisely, our aim is to specify the resource allocation behavior both at design time and at runtime, and to check its correctness according to users' needs. Our model also takes into account different cloud properties such as elasticity and shareability. In order to show its feasibility, our approach has been tested using a use case study from an industrial partner.

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Section: Related Workmentioning

confidence: 99%

Formal Verification of Cloud Resource Allocation in Business Processes Using Event-B

Boubaker¹,

Mammar²,

Graiet³

et al. 2016

2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA)

Self Cite

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“…Any formal description language may be used, provided that there are tools for the formal verification and support this language. We have explained this step of formal specification in detail using the ACME ADL in [14]. This ADL is coupled with ARMANI, the formal language that is based on first order predicates.…”

Section: General Approachmentioning

confidence: 99%

Integrating the SysML and ACME in a Model Driven Engineering Approach to Verify the Web Service Composition

Maroui

Ayeb

2015

2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises

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Systems engineering, and especially the modeling of the Web service composition, needs proper means for verification to detect critical issues as soon as possible. The objective of our work is to identify a verifiable subset of SysML (System Modeling Language) that is usable by system engineers, while still amenable to automatic transformation towards formal verification tools. As we are interested in proving properties expressed using invariants, we consider the ACME/ARMANI language for this purpose. Our approach consists in an alignment of SysML concepts with an identified subset of the ACME language, using similarities between both languages. We define a SysML models and a transformation towards the ACME/ARMANI language for verification of the consistency of Web services composition. The obtained MDE(Model Driven Engineering) process is applied to a simplified concrete case study of travel system online: a SysML model is designed with properties, then automatically transformed into ACME/ARMANI, and finally imported into AcmeStudio tool for automated proof of the properties.

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Large-scale extraction of gene interactions from full-text literature using DeepDive

Mallory

Zhang

Ré³

et al. 2015

Bioinformatics

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Motivation: A complete repository of gene–gene interactions is key for understanding cellular processes, human disease and drug response. These gene–gene interactions include both protein–protein interactions and transcription factor interactions. The majority of known interactions are found in the biomedical literature. Interaction databases, such as BioGRID and ChEA, annotate these gene–gene interactions; however, curation becomes difficult as the literature grows exponentially. DeepDive is a trained system for extracting information from a variety of sources, including text. In this work, we used DeepDive to extract both protein–protein and transcription factor interactions from over 100 000 full-text PLOS articles.Methods: We built an extractor for gene–gene interactions that identified candidate gene–gene relations within an input sentence. For each candidate relation, DeepDive computed a probability that the relation was a correct interaction. We evaluated this system against the Database of Interacting Proteins and against randomly curated extractions.Results: Our system achieved 76% precision and 49% recall in extracting direct and indirect interactions involving gene symbols co-occurring in a sentence. For randomly curated extractions, the system achieved between 62% and 83% precision based on direct or indirect interactions, as well as sentence-level and document-level precision. Overall, our system extracted 3356 unique gene pairs using 724 features from over 100 000 full-text articles.Availability and implementation: Application source code is publicly available at https://github.com/edoughty/deepdive_genegene_appContact: russ.altman@stanford.eduSupplementary information: Supplementary data are available at Bioinformatics online.

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Towards an approach of formal verification of mediation protocol based on web services of MDE type

Cited by 6 publications

References 11 publications

Formal Verification of Cloud Resource Allocation in Business Processes Using Event-B

Formal Verification of Cloud Resource Allocation in Business Processes Using Event-B

Integrating the SysML and ACME in a Model Driven Engineering Approach to Verify the Web Service Composition

Large-scale extraction of gene interactions from full-text literature using DeepDive

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