Mayssa Bessifi

dblp:248/3401 · DBLP profile ↗
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5ranked-venue papers
2as first author
4since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2024 A Tool-Supported Approach for Modelling and Verifying MapReduce Workflow Using Event B and BPMN2.0
Mayssa Bessifi, Ahlem Ben Younes, Leila Ben Ayed
ICSOFT1
2022 An Approach for the Specification and Verification of Hadoop-MapReduce Workflow
abstract
The growing importance of big data applications calls for the development of tools and methods to facilitate the development of high-quality applications. In this paper, we propose a model-driven approach for the specification and formal verification of the Hadoop-MapReduce workflow using the de facto standard BPMN2 and the Event B formal method. This approach is automated by the development of a prototype tool called BPMN-MapRed2EventB.
Mayssa Bessifi, Ahlem Ben Younes, Leila Ben Ayed
COMPSAC1
2021 Periodically intermittent control for finite-time synchronization of delayed quaternion-valued neural networks
Chaouki Aouiti, Mayssa Bessifi
Neural Comput. Appl.2
2021 Non-chattering quantized control for synchronization in finite-fixed time of delayed Cohen-Grossberg-type fuzzy neural networks with discontinuous activation
Chaouki Aouiti, Mayssa Bessifi
Neural Comput. Appl.2
2019 From BPMN2 to Event B: A Specification and Verification Approach of Workflow Applications
abstract
The BPMN2 language suffers from the absence of a precise formal semantics of the various notations used, which often leads to ambiguities. In addition, this language does not have a proof system that validates a BPMN2 specification. Consequently, the use of a formal method, such as Event B, is a solution for dealing with the shortcomings found in the BPMN2 language. We propose in this paper a model-driven approach based on meta-model and meta-model transformation implemented in KerMeta to specify and formally verify workflows.
Ahlem Ben Younes, Yousra Bendaly Hlaoui, Leila Ben Ayed, Mayssa Bessifi
COMPSAC (2)4