Marianne Huchard

Université de Montpellier | UM1 · Laboratory of Informatics, Robotics, and Microelectronics (LIRMM)

Most of available data are inherently relational, with e.g. temporal, spatial, causal or social relations. Besides, many datasets involve complex and voluminous data. Therefore, the exploration of relational data is a major challenge for Formal Concept Analysis (FCA). Relational Concept Analysis (RCA) is specifically designed to investigate the rel...

In this paper, we focus on the exploration of multi-relational datasets, and the various ways they can be analyzed using Relational Concept Analysis (RCA), an extension of Formal Concept Analysis (FCA). RCA uses several scaling operators that make the process highly tunable, allowing a high flexibility in the exploration and in the results. In retu...

Most of available data are inherently relational, with e.g. temporal, spatial, causal or social relations. Besides, many datasets involve complex and voluminous data. Therefore, the exploration of relational data is a major challenge for Formal Concept Analysis (FCA). Relational Concept Analysis (RCA) is specifically designed to investigate the rel...

Supporting organic farming aims to find alternative solutions to synthetic pesticides and antibiotics, using local plants, to protect crops. Moreover, in the One Health approach (OHA), a pesticidal plant should not be harmful to humans, meaning it cannot be toxic if the crop is consumed or should have a limited and conscious use if it is used for m...

Digital technologies are an opportunity to overcome disabilities, provided that accessibility is ensured. In this paper, we focus on visual accessibility and the way it is supported in Operating Systems (OS). The significant variability in this support has practical consequences, e.g., the difficulty to recommend or select an OS, or migrate from on...

Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that...

In this chapter, we introduceFerré, Sébastien Formal Concept Analysis (FCA) andHuchard, Marianne some of its extensions. FCA is a formalismKaytoue, Mehdi based on lattice theory aimedKuznetsov, Sergei O. at data analysis and knowledge processing. FCA allows the design of so-called concept lattices from binary and complex data. These concept lattice...

This chapter aims to investigate an approach to assisting the user in the design of a data lake architecture. Software product line engineering is an approach that allows for the formalization of a series of similar software products or systems, which only differ in some of their optional components. The chapter introduces a formalization approach...

Among the various directions that SPLE promotes, extractive adoption of complex product lines is especially valuable, provided that appropriate approaches are made available. Complex variability can be encoded in different ways, including the feature model (FM) formalism extended with multivalued attributes, UML-like cardinalities, and references c...

Software Product Line Engineering (SPLE) is a set of methods to help build a collection of software systems which are similar enough to enable appropriate artefact reuse. An important task consists in documenting in variability models the common and variable features which may compose the similar software systems along with compatibility constraint...

Software product line engineering is a reuse-driven paradigm for developing families of similar products from a generic product backbone with identified options. A customised product is then derived by combining the artefacts implementing the backbone with the ones implementing the chosen options. Variability analysis and representation is a centra...

Software product line engineering relies on systematic reuse and mass customisation to reduce the development time and cost of a software system family. The extractive adoption of a product line requires to extract variability information from the description of a collection of existing software systems to model their variability. With the increasi...

Formal Concept Analysis (FCA) and its associated conceptual structures are used to support exploratory search through conceptual navigation. Relational Concept Analysis (RCA) is an extension of Formal Concept Analysis to process relational datasets. RCA and its multiple interconnected structures represent good candidates to support exploratory sear...

Today pesticides, antimicrobials and other pest control products used in conventional agriculture are questioned and alternative solutions are searched out. Scientific literature and local knowledge describe a significant number of active plant-based products used as bio-pesticides. The Knomana (KNOwledge MANAgement on pesticide plants in Africa) p...

More and more knowledge bases are being developed in the field of environment and life. The challenge of this work is to make knowledge accessible to users with various concerns. Our case study deals with a knowledge base containing 30 000 descriptions of plant use in Africa, that are alternatives to synthetic pesticide and antimicrobial. In this p...

Component-based development is the software paradigm focused on building applications using reusable software components. Applications are built by assembling components, where the required interfaces of a component are connected to compatible provided interfaces of other components. In order to have an effective building process, software architec...

Software product line engineering gathers a set of methods to help create, manage and maintain a collection of similar software systems. Variability modelling is a focal point of this paradigm, where feature models (FMs) are the prevalent notation. Migration from single system development to software product lines is a spreading topic in software e...

ASE'18 Call for participation (http://www.ase2018.com/)

Feature Models (FMs) have been introduced in the domain of Software Product Lines (SPL) to model and represent product variability. They have become a de facto standard, based on a logical tree structure accompanied by textual cross-tree constraints. Other representations are: (product) configuration sets from concrete software product lines, logic...

Relational Concept Analysis (RCA) has been designed to classify sets of objects described by attributes and relations between these objects. This is achieved by iterating on Formal Concept Analysis (FCA). It can be used to discover knowledge patterns and implication rules in multi-relational datasets. The classification output by RCA is a family of...

L'objectif du projet MAN est d'élaborer et tester une méthodologie d'évaluation de l'accessibilité numérique pour les personnes âgées, croisant approches quantitatives et qualitatives. Les premiers résultats du projet obtenus en 2017 sont présentés, ainsi que les objectifs avancés pour 2018.

The migration from existing software variants to a software product line is an arduous task that necessitates to synthesise a variability model based on already developed softwares. Nowadays, the increasing complexity of software product lines compels practitioners to design more complex variability models that represent other information than bina...

Formal Concept Analysis and its associated conceptual structures have been used to support exploratory search through conceptual navigation. Relational Concept Analysis (RCA) is an extension of Formal Concept Analysis to process relational datasets. RCA and its multiple interconnected structures represent good candidates to support exploratory sear...

In information systems, model integration consists in grouping into a single model all the business entities of several thematically connected models. In this paper, five operations are proposed to assist this integration: an alignment model which highlights the correspondences between the models; two union models and two intersection models built...

Software product line engineering gathers a set of methods that rely on systematic reuse and mass customisation to reduce the development time and cost of a set of similar software systems. Boolean feature models are the de facto standard used to represent product line variability in terms of features, a feature being a distinguishable characterist...

In this paper, we describe the different ingredients of the CogiText tool which can be used for building, editing, and using large corpuses for text generation under constraints à laAlamo. In CogiText, AOC-posets are used as indexes that give information about the shape of the corpuses and that help to efficiently find terms for the text creation p...

Automated semantic web service composition is one of the critical research challenges of service-oriented computing, since it allows users to create an application simply by specifying the inputs that the application requires, the outputs it should produce, and any constraints it should respect. The composition problem has been handled using a vari...

Cloud robotics is a field of robotics that attempts to invoke Cloud technologies such as Cloud computing, Cloud storage, and other Internet technologies centered around the benefits of converged infrastructure and shared services for robotics. In a few short years, Cloud robotics as a newly emerged field has already received much research and indus...

In the domain of software product lines, Feature Models (FM) play a central role in variability modeling, completed by configuration collections (from concrete software product lines), logical representations, constraint programming or conceptual structures, coming from the field of Formal Concept Analysis (FCA). The development of feature models m...

Interfaces are data types that are very useful for providing abstract and organized views on programs and APIs, and opportunities for writing more generic code and for reuse. Extract interface refactoring is a well known local refactoring which is commonly used in development tools. Beyond that local refactoring, there is a need for mass extraction...

This paper presents a theoretical framework for exploring temporal data, using Relational Concept Analysis (RCA), in order to extract frequent sequential patterns that can be interpreted by domain experts. Our proposal is to transpose sequences within relational contexts, on which RCA can be applied. To help result analysis, we build closed partial...

Software architectures are subject to several types of change during the software lifecycle (e.g. adding requirements, correcting bugs, enhancing performance). The variety of these changes makes architecture evolution management complex because all architecture descriptions must remain consistent after change. To do so, whatever part of the archite...

In this paper, we consider data analysis methods for knowledge extraction from large water data-sets. More specifically, we try to connect physico-chemical parameters and the characteristics of taxons living in sample sites. Among these data analysis methods, we consider formal concept analysis (FCA), which is a recognized tool for classification a...

Designing or reengineering class models in the domain of programming or modeling involves capturing technical and domain concepts , finding the right abstractions and avoiding duplications. Making this last task in a systematic way corresponds to a kind of model nor-malization. Several approaches have been proposed, that all converge towards the us...

Cloud robotic system is a mono- or multi- robot system that profits one or more services of Cloud Computing. In a few short years, Cloud robotics as a newly emerged field has already received much research and industrial attention. The use of the Cloud for robotics and automation brings some potential benefits largely ameliorating the performance o...

Handling evolution in component-based software architectures is a non trivial task. Indeed, a series of changes applied on software may alter its architecture leading to several inconsistencies. In turn, architecture inconsistencies lead to software erosion and shorten its lifetime. To avoid architectural inconsistencies and increase software relia...

Workshop MASPEGHI@ECOOP 2015

Identifier names (e.g., packages, classes, methods, variables) are one of most important software comprehension sources. Identifier names need to be analyzed in order to support collaborative software engineering and to reuse source codes. Indeed, they convey domain concept of softwares. For instance, "getMinimumSupport" would be associated with as...

Several formalisms can be used to express variability in a product line. Product comparison matrix is a common and simple way to display variability of existing products from a same family, but they lack of formalisation. In this paper, we focus on concept lattices, another alternative already explored in several works to express variability. We fi...

The web has become a major tool for communication, services and an outstanding source of knowledge. It has also grown in complexity, and end-users may experience difficulties in reading and acquiring good understanding of some overly complex or poorly designed web pages. This observation is even more valid for people with visual disabilities. In th...

System quality is key part of software system in industry. It not only directly affects the customers/users' satisfaction, but also influences the entire lifecycle of system products from requirement to maintenance. Many quality assurance development methodologies and standards are proposed. However, software evolution as an another important part...

We are involved in the building by several actors of the class model of an information system in the environment domain. Actor concerns are various and sometimes conflicting, and progressively designing the model during working group sessions is required. This progressive improvement relies on the emergence of more abstract classes and associations...

This article describes a temporal data mining method based on relational lattices. This method is applied on a sequence dataset, dealing with physico-chemical and biological parameters sampled in watercourses. Our aim is to reveal frequent sub-sequences linking the two parameter types. We use a small example to show that relational concept analysis...

Companies often develop a set of software variants that share some features and differ in other ones to meet specific requirements. To exploit the existing software variants as a Software Product Line (SPL), a Feature Model of this SPL must be built as a first step. To do so, it is necessary to define and document the optional and mandatory feature...

Journée Lignes de Produits, 9 décembre 2014, Luxembourg, Centre de Recherche Public Henri Tudor

Companies often develop in a non-disciplined manner a set of software variants that share some features and differ in others to meet variant-specific requirements. To exploit existing software variants and manage them coherently as a software product line, a feature model must be built as a first step. To do so, it is necessary to extract mandatory...

In Model Driven Engineering (MDE), a Model Transformation is a specialized program, often composed of a set of rules to transform models. The Model Transformation By Example (MTBE) approach aims to assist the developer by learning model transformations from source and target model examples.In a previous work, we proposed an approach which takes as...

Reverse Engineering Feature Models from Software Configurations