Users increasingly demand more from their software than ever before-more features, fewer errors, faster runtimes. To deliver the best quality products possible, software engineers are constantly in the process of employing novel tools in developing the latest software applications. Progressions and Innovations in Model-Driven Software Engineering investigates the most recent and relevant research on model-driven engineering. Within its pages, researchers and professionals in the field of software development, as well as academics and students of computer science, will find an up-to-date discussion of scientific literature on the topic, identifying opportunities and advantages, and complexities and challenges, inherent in the future of software engineering.
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Vicente García Díaz, Universidad de Oviedo, Spain.
Juan Manuel Cueva Lovelle is a Mining Engineer from Oviedo Mining Engineers Technical School in 1983, Oviedo University, Spain. Ph. D. from Madrid Polytechnic University, Spain (1990). From 1985 he is a Professor at the Languages and Computers Systems Area in Oviedo University, Spain. ACM and IEEE voting member. His research interests include Object-Oriented technology, Language Processors, Human-Computer Interface, Web Engineering, Modelling Software with BPM, DSL and MDA.
Begoña Cristina Pelayo García-Bustelo, University of Oviedo, Spain.
Oscar Sanjuán Martinez, University of Oviedo, Spain.
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Users increasingly demand more from their software than ever before-more features, fewer errors, faster runtimes. To deliver the best quality products possible, software engineers are constantly in the process of employing novel tools in developing the latest software applications. Progressions and Innovations in Model-Driven Software Engineering investigates the most recent and relevant research on model-driven engineering. Within its pages, researchers and professionals in the field of software development, as well as academics and students of computer science, will find an up-to-date discussion of scientific literature on the topic, identifying opportunities and advantages, and complexities and challenges, inherent in the future of software engineering. Nº de ref. del artículo: 9781466642171
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