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IRIT, France

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10 Papers

A Pattern-based Process Management System to Flexibly Execute Collaborative Tasks

Topics: Software Process Improvement; Model-Driven Engineering; Business Process Management and Engineering; Document and Workflow Management; Collaborative Software Engineering

Authors: Mamadou Cisse ¹ , Hanh Tran ² , Samba Diaw ³ , Bernard Coulette ⁴ and Alassane Bah ³

Affiliations: ¹ IRIT Laboratory, Jean Jaures University, Toulouse, France, UMMISCO, Cheikh Anta Diop University, Dakar and Senegal , ² IRIT Laboratory, Paul Sabatier University, Toulouse and France , ³ UMMISCO, Cheikh Anta Diop University, Dakar and Senegal , ⁴ IRIT Laboratory, Jean Jaures University, Toulouse and France

Digital Object Identifier: 10.5220/0007680702730280

Proceedings of ENASE 2019, ISBN: 978-989-758-375-9

Quick Abstract

Managing collaborations during the execution of a process is complex and challenging, especially for managing the collaboration inside a task having multiple instances performed by various actors. Existing process management approaches propose either a rigid control for conducting such collaborative tasks or no control at all. Aiming at a more flexible way to execute and control multi-instance tasks, we investigate a solution based on late-binding mechanism to allow actors choosing dynamically suitable strategies to perform their collaboration. First, we propose a process modeling language which focuses on describing multi-instance tasks and their dynamic instances at execution time. Second, this language is then used to represent patterns capturing reusable collaboration strategies. A prototype of a pattern-based Process Management System has been developed to demonstrate the possible flexible execution of collaborative tasks.

Related Ontology Subjects/Areas/Topics (6)

Cross-Feeding between Data and Software Engineering		Service-Oriented Software Engineering and Management		Software Engineering Methods and Techniques
Model-Driven Engineering		Software Engineering		Software Process Improvement

Cooperative Multi-agent Approach for Computational Systems of Systems Architecting

Topics: Multi-Agent Systems; Autonomous Systems; Collective Intelligence; Self Organizing Systems

Authors: Teddy Bouziat , Stéphanie Combettes , Valérie Camps and Jeremy Boes

Affiliation: Institut de Recherche en Informatiques de Toulouse, France

Digital Object Identifier: 10.5220/0006190101740181

Proceedings of ICAART 2017, ISBN: 978-989-758-219-6

Quick Abstract

This paper addresses the modeling and design of Systems of Systems (SoS). It presents and illustrates a new generic model to describe formally such systems. This model is used to propose a SoS architecting approach based on adaptive multi-agent systems. In this approach, each component system composing the SoS uses a local cooperative decision process in order to interact with other systems and to collectively give rise to a relevant overall function at the SoS level. The proposed model as well as the proposed approach are instantiated with a simulated unmanned aerial vehicle scenario and compared with another approach dealing with collaboration between systems in a SoS.

Related Ontology Subjects/Areas/Topics (13)

Agents	Distributed and Mobile Software Systems	Multi-Agent Systems
Artificial Intelligence	Enterprise Information Systems	Self Organizing Systems
Artificial Intelligence and Decision Support Systems	Knowledge Engineering and Ontology Development	Software Engineering
Autonomous Systems	Knowledge-Based Systems	Symbolic Systems
Collective Intelligence

Defining and using Collaboration Patterns for Software Process Development

Authors: Tan Thuan Vo , Bernard Coulette , Hanh Nhi Tran and Redouane Lbath

Affiliation: Institut de Recherche en Informatique de Toulouse, France

Digital Object Identifier: 10.5220/0005338705570564

Proceedings of CMDD 2015/MODELSWARD, ISBN: 978-989-758-083-3

Quick Abstract

Collaboration patterns are an efficient way to define, reuse and enact collaborative software development processes. We propose an approach to define and apply collaboration patterns at modelling, instantiation or execution time. Our patterns, inspired from workflow patterns, are described in CMSPEM, a Process Modelling Language developed in our team. In this paper, we briefly describe the CMSPEM metamodel and focus our presentation on two collaboration patterns: Duplicate in Sequence with Multiple Actors, Duplicate in Parallel with Multiple Actors and Merge. The approach is illustrated by a case study concerning the collaborative process “Review a deliverable”.

Using Process Ontology Together with Process Editor - To Facilitate Tool Integration

Authors: Chanh Duc Ngo ¹ , Hanh Nhi Tran ² and Joël Champeau ³

Affiliations: ¹ University of Science of HoChiMinh (HCMUS), Vietnam , ² Institut de Recherche en Informatique de Toulouse (IRIT), France , ³ Ecoles Nationales Supérieures de Techniques Avancées de Bretagne (ENSTA-Bretagne), France

Digital Object Identifier: 10.5220/0005429005650573

Proceedings of CMDD 2015/MODELSWARD, ISBN: 978-989-758-083-3

Quick Abstract

Modern software and system collaborative process involves various teams in different development phases thus need efficient solutions for tools integration. In Model-Driven Development, transformation technique is used to allow exchanging models created by different tools. However, in a process, transformation are often defined manually for a tool-incompatible point and rarely reusable. To facilitate the automatic generation of transformation rules for tool integration, we propose to use process ontology together with process editor when modelling process. The idea is using ontology to stock process assets from various sources so that the relations between similar elements in different technical spaces can be established automatically. The process editor enriches the ontology by process elements captured from modelling activities. Then the integrated ontology helps the editor detect tool integration points and complete the process model as well as generate the mappings between concerned process elements.

COMBINATION OF CORRELATION MEASURES FOR DENSE STEREO MATCHING

Topic: Matching Correspondence and Flow

Authors: Sylvie Chambon ¹ and Alain Crouzil ²

Affiliations: ¹ Institut Français des Sciences et Technologies des Transports and de l’Am´enagement et des Réseaux (IFSTTAR), France , ² Institut de Recherche en Informatique de Toulouse (IRIT), France

Digital Object Identifier: 10.5220/0003333305980603

Proceedings of VISAPP 2011/VISIGRAPP, ISBN: 978-989-8425-47-8

Quick Abstract

In the context of dense stereo matching of pixels, we study the combination of different correlation measures. Considering the previous work about correlation measures, we use some measures that are the most significant in five kinds of measures based on: cross-correlation, classic statistics, image derivatives, nonparametric statistics and robust statistics. More precisely, this study validates the possible improvement of stereo-matching by combining complementary correlation measures and it also highlights the two measures that can be combined in order to take advantage of the different methods: Gradient Correlation measure (GC) and Smooth Median Absolute Deviation measure (SMAD). Finally, we introduce an algorithm of fusion that allows to combine automatically correlation measures.

Related Ontology Subjects/Areas/Topics (3)

Computer Vision, Visualization and Computer Graphics

Matching Correspondence and Flow

Motion, Tracking and Stereo Vision

COMPLEMENTARITY OF FEATURE POINT DETECTORS

Topics: Feature Extraction; Stereo Vision and Structure from Motion

Authors: Guillaume Gales ¹ , Alain Crouzil ¹ and Sylvie Chambon ²

Affiliations: ¹ Univeristé P. Sabatier, France , ² Laboratoire Central des Ponts et Chaussées, France

Digital Object Identifier: 10.5220/0002831703340339

Proceedings of VISAPP 2010/VISIGRAPP, ISBN: 978-989-674-028-3

Quick Abstract

The goal of this paper is to provide a study on complementarity of feature point detectors. Many studies have been proposed on these detectors but none deals with complementarity in details. We introduce an evaluation of eleven well-known detectors based on new criteria used to characterize complementarity. The complementarity is computed with spatial distribution and contribution measures as well as repeatability and distribution gains of the association of two detectors.

Related Ontology Subjects/Areas/Topics (8)

Computer Vision, Visualization and Computer Graphics	Image and Video Analysis	Signal Processing, Sensors, Systems Modeling and Control
Feature Extraction	Informatics in Control, Automation and Robotics	Stereo Vision and Structure from Motion
Features Extraction	Motion, Tracking and Stereo Vision

PERSONALIZATION OF A TRUST NETWORK

Topics: Multi-Agent Systems; Agent Models and Architectures; Cooperation and Coordination; Negotiation and Interaction Protocols

Authors: Laurent Lacomme ¹ , Yves Demazeau ¹ and Valérie Camps ²

Affiliations: ¹ Laboratoire d’Informatique de Grenoble, France , ² Institut de Recherche en Informatique de Toulouse, France

Digital Object Identifier: 10.5220/0001659204080415

Proceedings of ICAART 2009, ISBN: 978-989-8111-66-1

Quick Abstract

Trust and personalization are two important notions in social network that have been intensively developed in multi-agent systems during the last years. But there is few works about integrating these notions in the same network of agents. In this paper, we present a way to integrate trust and personalization in an agent network by adding a new dimension to the calculus of trust in the model of Falcone and Castelfranchi, which we will call a similarity degree. We first present the fundamental notions and models we use, then the model of integration we developed and finally the experiments we made to validate our model.

Related Ontology Subjects/Areas/Topics (13)

Agent Models and Architectures	Distributed and Mobile Software Systems	Multi-Agent Systems
Agents	Enterprise Information Systems	Negotiation and Interaction Protocols
Artificial Intelligence	Knowledge Engineering and Ontology Development	Software Engineering
Artificial Intelligence and Decision Support Systems	Knowledge-Based Systems	Symbolic Systems
Cooperation and Coordination

TOWARDS A FORMAL VERIFICATION OF PROCESS MODEL’S PROPERTIES - SimplePDL and TOCL Case Study

Topics: Modeling Concepts and Information Integration Tools; Systems Engineering Methodologies

Authors: Benôıt Combemale ¹ , Pierre-Löıc Garoche ¹ , Xavier Crégut ¹ , Xavier Thirioux ¹ and Francois Vernadat ²

Affiliations: ¹ Institut de Recherche en Informatique de Toulouse (CNRS UMR 5505), France , ² Laboratoire d’Analyse et d’Architecture des Systemes (CNRS), France

Digital Object Identifier: 10.5220/0002399800800089

Proceedings of ICEIS 2007, ISBN: 978-972-8865-90-0

Quick Abstract

More and more, models, through Domain Specific Languages (DSL), tend to be the solution to define complex systems. Expressing properties specific to these metamodels and checking them appear as an urgent need. Until now, the only complete industrial solutions that are available consider structural properties such as the ones that could be expressed in OCL. There are although some attempts on behavioural properties for DSL. This paper addresses a method to specify and then check temporal properties over models. The case study is SIMPLEPDL, a process metamodel. We propose a way to use a temporal extension of OCL, TOCL, to express properties. We specify a models transformation to Petri Nets and LTL formulae for both the process model and its associated temporal properties. We check these properties using a model checker and enrich the model with the analysis results. This work is a first step towards a generic framework to specify and effectively check temporal properties over arbitrary models.

Related Ontology Subjects/Areas/Topics (7)

Enterprise Information Systems	Model-Driven Software Development	Software Engineering
Information Systems Analysis and Specification	Modeling Concepts and Information Integration Tools	Systems Engineering
Methodologies, Processes and Platforms

VISUALISATION AND ANALYSIS OF RELATIONNAL DATA BY CONSIDERING TEMPORAL DIMENSION

Topics: Modeling Concepts and Information Integration Tools; Systems Engineering Methodologies; Information Engineering Methodologies; CASE Tools for System Development; Requirements Analysis

Authors: Eloïse Loubier and Bernard Dousset

Affiliation: Institut de Recherche en Informatique de Toulouse, France

Digital Object Identifier: 10.5220/0002375305500553

Proceedings of ICEIS 2007, ISBN: 978-972-8865-90-0

Quick Abstract

Visualization based on graph drawing allows the identification, the evaluation of passed and present structures between actors and concepts. It also allows the deduction of future ones. VisuGraph is developed in order to offer to the users the visualization and the interactive classification of relational data. We propose to complete this prototype with a morphing algotihm which animates with fluidity the representation between different time periods, emphasizing major elements and significant tendencies.

Related Ontology Subjects/Areas/Topics (10)

CASE Tools for System Development	Methodologies, Processes and Platforms	Requirements Analysis And Management
Enterprise Information Systems	Model-Driven Software Development	Software Engineering
Information Engineering Methodologies	Modeling Concepts and Information Integration Tools	Systems Engineering
Information Systems Analysis and Specification

Health care and social inference systems: An unauthorized inference control based on fuzzy logic

Authors: Souhila Kaci ¹ , Abdeslam Ali-Laouar ² and Frédéric Cuppens ²

Affiliations: ¹ Centre de Recherche en Informatique de Lens (C.R.I.L.–C.N.R.S.), France , ² Institut de Recherche en Informatique de Toulouse (I.R.I.T-C.N.R.S), France

Digital Object Identifier: 10.5220/0002674902170226

Proceedings of WOSIS 2004/ICEIS, ISBN: 972-8865-07-4

Quick Abstract

In this paper, we address the problem of unauthorized inference of confidential information in the field of health care and social information systems. More precisely, we will focus on the problem of inference control of confidential information from statistical databases which contain information about patients and propopse a method based on fuzzy logic to avoid unauthorized inference. Information provided using our approach remains relevant because it is without loss of quality.

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