Person:
Martín Martín, Enrique

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First Name
Enrique
Last Name
Martín Martín
URI
https://hdl.handle.net/20.500.14352/78704
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Informática
Department
Sistemas Informáticos y Computación
Area
Lenguajes y Sistemas Informáticos
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2020 - 20235
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End date: 2023 × Start date: 2020 ×

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Now showing 1 - 5 of 5
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    Project number: 18
    Juez automático para el aprendizaje de bases de datos
    (2021) Martín Martín, Enrique; Burgoa Muñoz, Iker; Rubio Cuéllar, Rubén Rafael; Cerro Cañizares, Pablo; Correas Fernández, Jesús; Montenegro Montes, Manuel; Riesco Rodríguez, Adrián
    Proponemos desarrollar un juez automático para el aprendizaje de bases de datos. Este sistema web permitirá a los estudiantes practicar con diferentes ejercicios de bases de datos desde casa y recibir retroalimentación inmediata sobre los fallos.
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    Project number: 387
    Evaluación del impacto sobre el aprendizaje de bases de datos del juez automático LearnSQL
    (2022) Martín Martín, Enrique; Correas Fernández, Jesús; Garmendia Salvador, Luis; Montenegro Montes, Manuel; Riesco Rodríguez, Adrián; Rubio Cuéllar, Rubén Rafael; Sáenz Pérez, Fernando
    Utilizamos el juez automático "LearnSQL" en la docencia de varios grupos de la asignatura "Bases de Datos" y medimos de manera rigurosa y extensiva el impacto que este tiene sobre el aprendizaje de los estudiantes.
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    A unified framework for declarative debugging and testing
    (2020) Tamarit, Salvador; Caballero Roldán, Rafael; Riesco Rodríguez, Adrián; Martín Martín, Enrique
    Context: Debugging is the most challenging and time consuming task in software development. However, it is not properly integrated in the software development cycle, because the result of so much effort is not available in further iterations of the cycle, and the debugging process itself does not benefit from the outcome of other phases such as testing. Objective: We propose to integrate debugging and testing within a single unified framework where each phase generates useful information for the other and the outcomes of each phase are reused. Method: We consider a declarative debugging setting that employs tests to automatically entail the validity of some subcomputations, thus decreasing the time and effort needed to find a bug. Additionally, the debugger stores as new tests the information collected from the user during the debugging phase. This information becomes part of the program test suite, and can be used in future debugging sessions, and also as regression tests. Results: We define a general framework where declarative debugging establishes a bidirectional collaboration with testing. The new setting preserves the properties of the underlying declarative debugging framework (weak completeness and soundness) while generating test cases that can be used later in other debugging sessions or even in other cycles of the software development. The proposed framework is general enough to be instantiated to very different programming languages: Erlang (functional), Java (imperative, object-oriented), and SQL (data query); and the experimental results obtained for Erlang programs validate the effectiveness of the framework. Conclusion: We propose a general unified framework for debugging and testing that simplifies each phase and maximizes the reusability of the outcomes in the different phases of the software development cycle, therefore reducing the overall effort.
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    Improving database learning with an automatic judge
    (2022) Martín Martín, Enrique; Montenegro Montes, Manuel; Riesco Rodríguez, Adrián; Rubio Cuéllar, Rubén Rafael
    Databases are a key subject in several technical degrees. Because they have a strong practical nature, students require a large number of problems to master them. However, these problems are useful only if accurate and timely feedback is provided. In this paper, we present the learning improvements obtained by using LearnSQL, an automatic judge that has been designed to complement face-to-face lectures. We have measured the impact of this judge during the 2021/22 academic year and report promising results both in student engagement and final grades.
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    Project number: 84
    Aplicación web progresiva para la realización de cuestionarios offline: difusión e integración con Moodle
    (2023) Montenegro Montes, Manuel; Martín Martín, Enrique; Riesco Rodríguez, Adrián; Rubio Cuéllar, Rubén Rafael; Verdejo López, José Alberto; El Fakhri Ouajih, Zakaria; Martínez Gamero, Pedro