Tool Support for DFD-UML Model-Based Transformations

This paper presents a model-based approach that combines the data-flow and object-oriented computing paradigms to model embedded systems. The rationale behind the approach is that both views are important for modelling purposes in embedded systems environments, and thus a combined and integrated usage is not only useful, but also fundamental for developing complex systems. We also show that by using models we were able to implement automated transformations between different views of the system under design. We exemplify the approach with an IPv6 router case study.HPY Research Foundation; CIMO - HH-02-383; Fundação para a Ciência e Tecnologia; Fundo Europeu de Desenvolvimento Regional - Project METHODES: Methodologies and Tools for Developing Complex Real-Time Embedded Systems (POSI/37334/CHS/2001)

Applying Test-driven Development in Evaluating Student Projects

Grading software projects submitted by students can become a heavy and time-consuming task, which for many students, can result in delayed feedback provided to them. Additionally, one would like to allow students to evaluate themselves early their projects before submitting the final version for grading. This paper presents a solution that improves the grading process of student projects not only for lecturers, but also for students. In our approach, we adopt a test-driven development methodology to provide a clear benchmark of the course project implementation. Our approach allows students to self-evaluate their progress at any moment, while lecturers can use it to automate the grading process. GitHub Classroom is used as a supporting tool to allow students to retrieve and implement their projects from the same initial skeleton project including the tests, and lecturers to retrieve the student projects and evaluate them automatically. The results show that test-driven development is a viable solution to be applied in an academic environment to improve the grading process. This study also shows that courses in Information Technology area could use our approach to increase learning and teaching efficiency.This work has received partial funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737494. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and Sweden, France, Spain, Italy, Finland, the Czech Republic.Tran, CH.; Truscan, D.; Ahmad, T. (2020). Applying Test-driven Development in Evaluating Student Projects. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020). https://doi.org/10.4995/HEAd20.2020.11218115530-05-202

Integration of DFDs into a UML - based model-driven engineering approach

The main aim of this article is to discuss how the functional and the object-oriented views can be inter-played to represent the various modeling perspectives of embedded systems.We discuss whether the object-oriented modeling paradigm, the predominant one to develop software at the present time, is also adequate for modeling embedded software and how it can be used with the functional paradigm.More specifically, we present how the main modeling tool of the traditional structured methods, data flow diagrams, can be integrated in an object-oriented development strategy based on the unified modeling language. The rationale behind the approach is that both views are important for modeling purposes in embedded systems environments, and thus a combined and integrated model is not only useful, but also fundamental for developing complex systems. The approach was integrated in amodel-driven engineering process, where tool support for the models used was provided. In addition, model transformations have been specified and implemented to automate the process.We exemplify the approach with an IPv6 router case study.FEDER -Fundação para a Ciência e a Tecnologia(HH-02-383

Automatic Performance Space Exploration of Web Applications using Genetic Algorithms

We describe a tool-supported performance exploration approach in which we use genetic algorithms to find a potential user behavioural pattern that maximizes the resource utilization of the system under test. This work is built upon our previous work in which we generate load from workload models that describe the expected behaviour of the users. In this paper, we evolve a given probabilistic workload model (specified as a Markov Chain Model) by optimizing the probability distribution of the edges in the model and generating different solutions. During the evolution, the solutions are ranked according to their fitness values. The solutions with the highest fitness are chosen as parent solutions for generating offsprings. At the end of an experiment, we select the best solution among all the generations. We validate our approach by generating load from both the original and the best solution model, and by comparing the resource utilization they create on the system under test

Application de l'Ingénierie des Exigences basée sur les Modèles dans Trois Grands Projets Collaboratifs Européens : Un Rapport d'Expérience

National audienceCe papier rapporte notre expérience pratique de proposition et d'application d'une approche et d'un langage d'Ingénierie des Exigences basées sur les Modèles. La période concernée de 5 ans couvre trois grands projets collaboratifs européens, chacun d'entre eux fournissant diverses solutions logicielles complexes (e.g., frameworks, ensemble d'outils intégrés, etc.)