82 research outputs found

    PaTaS - Quality Assurance in Model-Driven Software Engineering for Spacecraft

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    Within PATAS (Product Assurance with TASTE Study), a product quality model with software and model metrics is developed and implemented in an end-to-end model-driven software engineering (MDSE) lifecycle demonstrator, based on TASTE. The goal of this study is to find applicable concepts to maintain quality and dependability levels, when MDSE is applied. This requires the definition of connected model and software quality indicators. These indicators are identified and integrated with ESA's reference software product quality model (ECSS-Q-HB-80-04A). The resulting quality model is integrated in a model-based software development lifecycle demonstrator, based on TASTE. To evaluate this demonstrator and the integrated quality indicators, mission-critical parts of the command and data handling subsystem of a satellite mission are modelled and subsequently coded, simulating a realistic development scenario as use case. The aim of the activity is to demonstrate the effect of the end-to-end lifecycle in combination with the developed quality model on the final onboard software product. The final results will set the baseline for recommendations to improve Quality Assurance in MDSE at ESA. In this talk, we present the on-going study and its latest results

    Model-based integration testing technique using formal finite state behavioral models for component-based software

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    Many issues and challenges could be identified when considering integration testing of Component-Based Software Systems (CBSS). Consequently, several research have appeared in the literature, aimed at facilitating the integration testing of CBSS. Unfortunately, they suffer from a number of drawbacks and limitations such as difficulty of understanding and describing the behavior of integrated components, lack of effective formalism for test information, difficulty of analyzing and validating the integrated components, and exposing the components implementation by providing semi-formal models. Hence, these problems have made it in effective to test today’s modern complex CBSS. To address these problems, a model-based approach such as Model-Based Testing (MBT) tends to be a suitable mechanism and could be a potential solution to be applied in the context of integration testing of CBSS. Accordingly, this thesis presents a model-based integration testing technique for CBSS. Firstly, a method to extract the formal finite state behavioral models of integrated software components using Mealy machine models was developed. The extracted formal models were used to detect faulty interactions (integration bugs) or compositional problems between integrated components in the system. Based on the experimental results, the proposed method had significant impact in reducing the number of output queries required to extract the formal models of integrated software components and its performance was 50% better compared to the existing methods. Secondly, based on the extracted formal models, an effective model-based integration testing technique (MITT) for CBSS was developed. Finally, the effectiveness of the MITT was demonstrated by employing it in the air gourmet and elevator case studies, using three evaluation parameters. The experimental results showed that the MITT was effective and outperformed Shahbaz technique on the air gourmet and elevator case studies. In terms of learned components for air gourmet and elevator case studies respectively, the MITT results were better by 98.14% and 100%, output queries based on performance were 42.13% and 25.01%, and error detection capabilities were 70.62% and 75% for each of the case study

    The Impact of Digital Technologies on Public Health in Developed and Developing Countries

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    This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic

    Improving Access and Mental Health for Youth Through Virtual Models of Care

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    The overall objective of this research is to evaluate the use of a mobile health smartphone application (app) to improve the mental health of youth between the ages of 14–25 years, with symptoms of anxiety/depression. This project includes 115 youth who are accessing outpatient mental health services at one of three hospitals and two community agencies. The youth and care providers are using eHealth technology to enhance care. The technology uses mobile questionnaires to help promote self-assessment and track changes to support the plan of care. The technology also allows secure virtual treatment visits that youth can participate in through mobile devices. This longitudinal study uses participatory action research with mixed methods. The majority of participants identified themselves as Caucasian (66.9%). Expectedly, the demographics revealed that Anxiety Disorders and Mood Disorders were highly prevalent within the sample (71.9% and 67.5% respectively). Findings from the qualitative summary established that both staff and youth found the software and platform beneficial

    The Impact of Digital Technologies on Public Health in Developed and Developing Countries

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    This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic

    Conception et vérification d'exigences de sûreté temporisées à base de contrats dans les modèles SysML

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    De nos jours, les systèmes informatiques croissent en taille et en complexité. Intégrés dans des dispositifs de différents domaines tels que l'avionique, l'aéronautique, l'électronique grand public, etc., ils sont souvent considérés comme critiques à l'égard de la vie humaine, des coûts et de l'environnement. Concevoir des systèmes embarqués temps-réel critiques sûrs et fiables est une tâche difficile, étant donné que leurs modèles sont souvent source d'erreurs. Une façon pour les concepteurs de contourner cette difficulté consiste à s'appuyer sur la modélisation compositionnelle de composants logiciels pilotée par les exigences. Le raisonnement à base de contrats permet de construire des composants sûrs à partir des exigences globales du système en interposant des spécifications abstraites et partielles entre les besoins du système et les composants eux-mêmes. Informellement, un contrat modélise le comportement abstrait d'un composant du point de vue de l'exigence à satisfaire (c.a.d garantie) dans un contexte donné (c.a.d. hypothèse). Les contrats peuvent être exploités pour décomposer et tracer les exigences au cours d'un développement itératif, mais aussi pour effectuer une vérification compositionnelle de la satisfaction des exigences. Dans cette thèse, nous présentons une méthodologie de raisonnement à base de contrats pour la conception et la vérification de systèmes sûrs développés en SysML. Ainsi, nous définissons en UML/SysML la syntaxe des contrats et des relations de raffinement entre contrats et/ou composants qui sont utilisées pour prouver la correction du système par rapport aux exigences. Ensuite, nous proposons un cadre formel qui modélise la sémantique d'un modèle UML/SysML étendu par des contrats selon une variante d'automates temporisés entrée/sortie et nous définissons la correspondance entre ces concepts. Nous formalisons les relations de raffinement par la relation d'inclusion de traces et nous prouvons leurs propriétés compositionnelles ce qui assure la correction de la méthodologie. L'approche est instanciée pour le profil OMEGA et la boîte à outils IFx2 qui génère partiellement les obligations de preuve. Finalement, plusieurs études de cas dont une issue de l'industrie complètent la théorie pour évaluer l'approche à base de contrats et ses résultats et les comparer aux méthodes classiques de model-checking.Nowadays computer systems grow larger in size and more complex. Embedded in devices from different domains like avionics, aeronautics, consumer electronics, etc., they are often considered critical with respect to human life, costs and environment. A development that results in safe and reliable critical real-time embedded systems is a challenging task, considering that errors are accidentally inserted in the design. A way for system designers to tackle this issue is to use a compositional design technique based on components and driven by requirements: it allows to infer from global requirements, component properties that must locally hold. Contract-based reasoning allows to compositionally derive correct components from global system requirements by interposing abstract and partial specifications for components. Informally, a contract models the abstract behavior a component exhibits from the point of view of the requirement to be satisfied (i.e. guarantee) in a given context (i.e. assumption). Contracts can be used to decompose and trace requirements during iterative design, but also to perform compositional verification of requirement satisfaction. In this thesis, we present a methodology for reasoning with contracts during system design and verification within SysML. Thus, we define the syntax for contracts in UML/SysML, as well as a set of refinement relations between contracts and/or components in order to prove the system's correctness with respect to requirements. Next, we provide a formal framework that models the semantics of a UML/SysML model extended with contracts as a mapping of the language concepts to a variant of Timed Input/Output Automata. The refinement relations are formalized based on the trace inclusion relation and compositional properties are proved to hold which ensures the soundness of the methodology. The approach is instantiated for the OMEGA Profile and IFx2 toolset with partial automatic generation of proof obligations. Finally, the approach is applied on several case studies, including an industry-grade system model, which show its efficiency by comparative verification results

    Methods and tools for the integration of formal verification in domain-specific languages

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    Domain specific Modeling Languages (DSMLs) are increasingly used at the early phases in the development of complex systems, in particular, for safety critical systems. The goal is to be able to reason early in the development on these models and, in particular, to fulfill verification and validation activities (V and V). A widely used technique is the exhaustive behavioral model verification using model-checking by providing a translational semantics to build a formal model from DSML conforming models in order to reuse powerful tools available for this formal domain. Defining a translational semantics, expressing formal properties to be assessed and analysing such verification results require such an expertise in formal methods that it restricts their adoption and may discourage the designers. It is thus necessary to build for each DSML, a toolchain which hides formal aspects for DSML end-users. The goal of this thesis consists in easing the development of such verification toolchains. Our contribution includes 1) expressing behavioral properties in the DSML level by relying on TOCL (Temporal Object Constraint Language), a temporal extension of OCL; 2) An automated transformation of these properties on formal properties while reusing the key elements of the translational semantics; 3) the feedback of verification results thanks to a higher-order transformation and a language which defines mappings between DSML and formal levels; 4) the associated process implementation. Our approach was validated by the experimentation on a subset of the development process modeling language SPEM, and on Ladder Diagram language used to specify programmable logic controllers (PLCs), and by the integration of a formal intermediate language (FIACRE) in the verification toolchain. This last point allows to reduce the semantic gap between DSMLs and formal domains

    Methods and tools for the integration of formal verification in domain-specific languages

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    Les langages dédiés de modélisation (DSMLs) sont de plus en plus utilisés dans les phases amont du développement des systèmes complexes, en particulier pour les systèmes critiques embarqués. L’objectif est de pouvoir raisonner très tôt dans le développement sur ces modèles et, notamment, de conduire des activités de vérification et validation (V and V). Une technique très utilisée est la vérification des modèles comportementaux par exploration exhaustive (model-checking) en utilisant une sémantique de traduction pour construire un modèle formel à partir des modèles métiers pour réutiliser les outils performants disponibles pour les modèles formels. Définir cette sémantique de traduction, exprimer les propriétés formelles à vérifier et analyser les résultats nécessite une expertise dans les méthodes formelles qui freine leur adoption et peut rebuter les concepteurs. Il est donc nécessaire de construire pour chaque DSML, une chaîne d’outils qui masque les aspects formels aux utilisateurs. L’objectif de cette thèse est de faciliter le développement de telles chaînes de vérification. Notre contribution inclut 1) l’expression des propriétés comportementales au niveau métier en s’appuyant sur TOCL (Temporal Object Constraint Language), une extension temporelle du langage OCL; 2) la transformation automatique de ces propriétés en propriétés formelles en réutilisant les éléments clés de la sémantique de traduction; 3) la remontée des résultats de vérification grâce à une transformation d’ordre supérieur et un langage de description de correspondance entre le domaine métier et le domaine formel et 4) le processus associé de mise en oeuvre. Notre approche a été validée par l’expérimentation sur un sous-ensemble du langage de modélisation de processus de développement SPEM, et sur le langage de commande d’automates programmables Ladder Diagram, ainsi que par l’intégration d’un langage formel intermédiaire (FIACRE) dans la chaîne outillée de vérification. Ce dernier point permet de réduire l’écart sémantique entre les DSMLs et les domaines formels. ABSTRACT : Domain specific Modeling Languages (DSMLs) are increasingly used at the early phases in the development of complex systems, in particular, for safety critical systems. The goal is to be able to reason early in the development on these models and, in particular, to fulfill verification and validation activities (V and V). A widely used technique is the exhaustive behavioral model verification using model-checking by providing a translational semantics to build a formal model from DSML conforming models in order to reuse powerful tools available for this formal domain. Defining a translational semantics, expressing formal properties to be assessed and analysing such verification results require such an expertise in formal methods that it restricts their adoption and may discourage the designers. It is thus necessary to build for each DSML, a toolchain which hides formal aspects for DSML end-users. The goal of this thesis consists in easing the development of such verification toolchains. Our contribution includes 1) expressing behavioral properties in the DSML level by relying on TOCL (Temporal Object Constraint Language), a temporal extension of OCL; 2) An automated transformation of these properties on formal properties while reusing the key elements of the translational semantics; 3) the feedback of verification results thanks to a higher-order transformation and a language which defines mappings between DSML and formal levels; 4) the associated process implementation. Our approach was validated by the experimentation on a subset of the development process modeling language SPEM, and on Ladder Diagram language used to specify programmable logic controllers (PLCs), and by the integration of a formal intermediate language (FIACRE) in the verification toolchain. This last point allows to reduce the semantic gap between DSMLs and formal domains

    Consistency-by-Construction Techniques for Software Models and Model Transformations

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    A model is consistent with given specifications (specs) if and only if all the specifications are held on the model, i.e., all the specs are true (correct) for the model. Constructing consistent models (e.g., programs or artifacts) is vital during software development, especially in Model-Driven Engineering (MDE), where models are employed throughout the life cycle of software development phases (analysis, design, implementation, and testing). Models are usually written using domain-specific modeling languages (DSMLs) and specified to describe a domain problem or a system from different perspectives and at several levels of abstraction. If a model conforms to the definition of its DSML (denoted usually by a meta-model and integrity constraints), the model is consistent. Model transformations are an essential technology for manipulating models, including, e.g., refactoring and code generation in a (semi)automated way. They are often supposed to have a well-defined behavior in the sense that their resulting models are consistent with regard to a set of constraints. Inconsistent models may affect their applicability and thus the automation becomes untrustworthy and error-prone. The consistency of the models and model transformation results contribute to the quality of the overall modeled system. Although MDE has significantly progressed and become an accepted best practice in many application domains such as automotive and aerospace, there are still several significant challenges that have to be tackled to realize the MDE vision in the industry. Challenges such as handling and resolving inconsistent models (e.g., incomplete models), enabling and enforcing model consistency/correctness during the construction, fostering the trust in and use of model transformations (e.g., by ensuring the resulting models are consistent), developing efficient (automated, standardized and reliable) domain-specific modeling tools, and dealing with large models are continually making the need for more research evident. In this thesis, we contribute four automated interactive techniques for ensuring the consistency of models and model transformation results during the construction process. The first two contributions construct consistent models of a given DSML in an automated and interactive way. The construction can start at a seed model being potentially inconsistent. Since enhancing a set of transformations to satisfy a set of constraints is a tedious and error-prone task and requires high skills related to the theoretical foundation, we present the other contributions. They ensure model consistency by enhancing the behavior of model transformations through automatically constructing application conditions. The resulting application conditions control the applicability of the transformations to respect a set of constraints. Moreover, we provide several optimizing strategies. Specifically, we present the following: First, we present a model repair technique for repairing models in an automated and interactive way. Our approach guides the modeler to repair the whole model by resolving all the cardinalities violations and thereby yields a desired, consistent model. Second, we introduce a model generation technique to efficiently generate large, consistent, and diverse models. Both techniques are DSML-agnostic, i.e., they can deal with any meta-models. We present meta-techniques to instantiate both approaches to a given DSML; namely, we develop meta-tools to generate the corresponding DSML tools (model repair and generation) for a given meta-model automatically. We present the soundness of our techniques and evaluate and discuss their features such as scalability. Third, we develop a tool based on a correct-by-construction technique for translating OCL constraints into semantically equivalent graph constraints and integrating them as guaranteeing application conditions into a transformation rule in a fully automated way. A constraint-guaranteeing application condition ensures that a rule applies successfully to a model if and only if the resulting model after the rule application satisfies the constraint. Fourth, we propose an optimizing-by-construction technique for application conditions for transformation rules that need to be constraint-preserving. A constraint-preserving application condition ensures that a rule applies successfully to a consistent model (w.r.t. the constraint) if and only if the resulting model after the rule application still satisfies the constraint. We show the soundness of our techniques, develop them as ready-to-use tools, evaluate the efficiency (complexity and performance) of both works, and assess the overall approach in general as well. All our four techniques are compliant with the Eclipse Modeling Framework (EMF), which is the realization of the OMG standard specification in practice. Thus, the interoperability and the interchangeability of the techniques are ensured. Our techniques not only improve the quality of the modeled system but also increase software productivity by providing meta-tools for generating the DSML tool supports and automating the tasks
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