Sara Elhadi Elsiddig Mahmoud and Susana Muñoz-Hernández. Asthma severity diagnosis system based on fuzzy reasoning. In A.J. Li K. Tallón-Ballesteros, editor, Fuzzy Systems and Data Mining III, volume 299 of Frontiers in Artificial Intelligence and Applications (FAIA), pages 197--202, Hualien, Taiwan, November 2017. IOS Press. [ bib | DOI ]
Susana Muñoz-Hernández. Lets remove digital illiteracy from african rural areas. In 12th International Conference on ICT for Development, Education and Training. E-learning Africa, Republic of Mauritius, September 2017. [ bib ]
Huda Jamal Abdelhameed and Susana Muñoz-Hernández. Emotion and opinion retrieval from social media in arabic language: Survey. In 2017 Joint International Conference on Information and Communication Technologies for Education and Training and International Conference on Computing in Arabic (ICCA-TICET), IEEE Xplore, pages 1--8, Khartoum, Sudan, August 2017. IEEE. [ bib | DOI | http ]
Emilio Jesús Gallego Arias, James Lipton, and Julio Mariño. Constraint logic programming with a relational machine. Formal Aspects of Computing, 29(1):97--124, 2017. [ bib | DOI | http ]
We present a declarative framework for the compilation of constraint logic programs into variable-free relational theories which are then executed by rewriting. This translation provides an algebraic formulation of the abstract syntax of logic programs. Logic variables, unification, and renaming apart are completely elided in favor of manipulation of variable-free relation expressions. In this setting, term rewriting not only provides an operational semantics for logic programs, but also a simple framework for reasoning about program execution. We prove the translation sound, and the rewriting system complete with respect to traditional SLD semantics.

Salvador Tamarit, Julio Mariño, Guillermo Vigueras, and Manuel Carro. Towards a semantics-aware code transformation toolchain for heterogeneous systems. In Alicia Villanueva, editor, Proceedings XVI Jornadas sobre Programación y Lenguajes, Salamanca, Spain, 14-16th September 2016, volume 237 of Electronic Proceedings in Theoretical Computer Science, pages 34--51. Open Publishing Association, 2017. [ bib | DOI ]
Guillermo Vigueras, Manuel Carro, Salvador Tamarit, and Julio Mariño. Towards automatic learning of heuristics for mechanical transformations of procedural code. In Alicia Villanueva, editor, Proceedings XVI Jornadas sobre Programación y Lenguajes, Salamanca, Spain, 14-16th September 2016, volume 237 of Electronic Proceedings in Theoretical Computer Science, pages 52--67. Open Publishing Association, 2017. [ bib | DOI ]
Salvador Tamarit, Guillermo Vigueras, Manuel Carro, and Julio Mariño. Tools for High Performance Computing 2016, chapter Machine Learning-Driven Automatic Program Transformation to Increase Performance in Heterogeneous Architectures, pages 115--140. Springer, 2017. [ bib ]
Barbara Gallina, Elena Gómez-Martínez, and Clara Benac Earle. Promoting MBA in the rail sector by deriving process-related evidence via MDSafeCer. Computer Standards & Interfaces, 54:119--128, 2017. [ bib | DOI ]
Julio Mariño, Raúl N. N. Alborodo, Lars-Åke Fredlund, and Ángel Herranz. Synthesis of verifiable concurrent java components from formal models. Software & Systems Modeling, pages 1--35, 2017. [ bib | DOI | http ]
Concurrent systems are hard to program, and ensuring quality by means of traditional testing techniques is often very hard as errors may not show up easily and reproducing them is hard. In previous work, we have advocated a model-driven approach to the analysis and design of concurrent, safety-critical systems. However, to take full advantage of these techniques, they must be supported by code generation schemes for concrete programming languages. Ideally, this translation should be traceable, automated and should support the verification of the generated code. In our work, we consider the problem of generating a concurrent Java component from a high-level model of inter-process interaction (i.e., communication + synchronization). We call our formalism shared resources. From the model, which can be represented in mathematical notation or written as a Java interface annotated using an extension of JML, a Java component can be obtained by a semiautomatic translation. We describe how to obtain shared memory (using a priority monitors library) and message passing (using the JCSP library) implementations. Focusing on inter-process interaction for formal development is justified by several reasons, e.g., mathematical models are language-independent and allow to analyze certain concurrency issues, such as deadlocks or liveness properties prior to code generation. Also, the Java components produced from the shared resource model will contain all the concurrency-related language constructs, which are often responsible for many of the errors in concurrent software. We follow a realistic approach where the translation is semiautomatic (schemata for code generation) and the programmer still retains the power of coding or modifying parts of the code for the resource. The code thus obtained is JML-annotated Java with proof obligations that help with code traceability and verification of safety and liveness properties. As the code thus obtained is not automatically correct, there is still the need to verify its conformance to the original specs. We illustrate the methodology by developing a concurrent control system and verifying the code obtained using the KeY program verification tool. We also show how KeY can be used to find errors resulting from a wrong use of the templates.

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