Autor:
Fredlund, Lars-Ake

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lfredlund@fi.upm.es

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Fredlund

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Lars-Ake

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Fredlud, Lars-Ake

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Universidad Politécnica de Madrid, Spain

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Mostrando 1 - 4 de 4
  • Artículo
    A Formal Semantics for Agent Distribution and Fault Tolerance in Jason
    Fernández Díaz, Álvaro; Fredlund, Lars-Ake; Benac Earle, Clara; Mariño, Julio. Actas de las XX Jornadas de Programación y Lenguajes (PROLE 2021), 2021-09-22.
    This paper provides a formal specification of the distribution and fault-tolerance mechanisms of eJason. The eJason programming language is an extension to the agent-oriented programming language Jason that introduces native support for the transparent distribution of agents as well as fault-tolerance mechanisms. This formal semantics is presented from a multiagent system perspective. It unambiguously describes both the possible evolution of the distributed multi- agent system over time and the different instruments for fault detection and fault recovery, hence exposing their strengths. This specification may serve as a reference for researchers interested in the inclusion of similar mechanisms in agent-oriented programming languages.
  • Artículo
    Work in Progress: Generation of Algebraic Data Types using Evolutionary Algorithms
    Ballesteros, Ignacio; Benac Earle, Clara; Fredlund, Lars-Ake; Herranz, Ángel; Mariño, Julio. Actas de las XXII Jornadas sobre Programación y Lenguajes (PROLE 2023), 2023-09-12.
    Automatic data generation is a key component of automated software testing. Random generation of test input data can uncover some bugs in software, but its effectiveness decreases when those inputs must satisfy complex properties in order to be meaningful. In this work we study an evolutionary approach to generate values that can be encoded as algebraic data types plus additional properties. More specifically, we have conducted an experiment on the automated generation of red-black trees using evolutionary algorithms. Although relatively simple, this example will allow us to introduce the main principles of evolutionary algorithms and how these principles can be applied to obtain valid, nontrivial samples of a given data structure. While the preliminary results show some potential, further experimentation is needed.
  • Artículo
    Tool Demonstration: Testing JSON Web Services Using Jsongen (Demostración)
    Ballesteros, Ignacio; Bueso de Barrio, Luis Eduardo; Fredlund, Lars-Ake; Mariño, Julio. Actas de las XVIII Jornadas de Programación y Lenguajes (PROLE 2018), 2018-09-17.
    This article describes a tool, jsongen, which permits testing behavioural aspects of Web Services that communicate using the JSON data format. Provided a characterisation of the JSON data as a JSON schema, the jsongen tool will: (i) automatically derive a QuickCheck (the property-based testing tool) generator which can generate an infinite number of JSON values that validate against the schema, and (ii) provides a generic QuickCheck state machine which is capable of following the (hyper)links documented in the JSON schema, to automatically explore the web service. The default behaviour of the state machine can be easily customized to include web service specific checks. The approach is demonstrated by applying it to the task of testing a simplified web service for banking.
  • Artículo
    Property-based Testing usando GPU
    Ballesteros, Ignacio; Benac Earle, Clara; Mariño, Julio; Fredlund, Lars-Ake; Herranz, Ángel. Actas de las XXIII Jornadas de Programación y Lenguajes (PROLE 2024), 2024-06-17.
    La generación aleatoria de datos es un componente fundamental del testing automático de programas. No obstante, la generación aleatoria tiene ciertas limitaciones cuando los datos generados tienen que cumplir ciertas propiedades. Este trabajo explora la posibilidad de utilizar hardware paralelo para hacer más efectivo el proceso de generación de datos y así mejorar la aplicabilidad de las técnicas de testing basado en propiedades.