Language Is Dynamic Example
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The Dynamics of Language
For the whole of the last half-century, most theoretical syntacticians have assumed that knowledge of language is different from the tasks of speaking and understanding. There have been some dissenters, but, by and large, this view still holds sway. This book takes a different view: it continues the task set in hand by Kempson et al (2001) of arguing that the common-sense intuition is correct that knowledge of language consists in being able to use it in speaking and understanding. The Dynamics of Language argues that interpretation is built up across as sequence of words relative to some context and that this is all that is needed to explain the structural properties of language. The dynamics of how interpretation is built up is the syntax of a language system. The authors' first task is to convey to a general linguistic audience with a minimum of formal apparatus, the substance of that formal system. Secondly, as linguists, they set themselves the task of applying the formal system to as broad an array of linguistic puzzles as possible, the languages analysed ranging from English to Japanese and Swahili. It argues that knowledge in language consists of being able to use it in speaking and understanding. It analyses a variety of languages, from English to Japanese and Swahili. It appeals to a wide audience in the disciplines of language, linguistics, anthropology, education, psychology, cognitive science, law, media studies, and medicine.
Automatic verification of behavior preservation at the transformation level for relational model transformation
Author: Dyck, Johannes
language: en
Publisher: Universitätsverlag Potsdam
Release Date: 2017-04-26
The correctness of model transformations is a crucial element for model-driven engineering of high quality software. In particular, behavior preservation is the most important correctness property avoiding the introduction of semantic errors during the model-driven engineering process. Behavior preservation verification techniques either show that specific properties are preserved, or more generally and complex, they show some kind of behavioral equivalence or refinement between source and target model of the transformation. Both kinds of behavior preservation verification goals have been presented with automatic tool support for the instance level, i.e. for a given source and target model specified by the model transformation. However, up until now there is no automatic verification approach available at the transformation level, i.e. for all source and target models specified by the model transformation. In this report, we extend our results presented in [27] and outline a new sophisticated approach for the automatic verification of behavior preservation captured by bisimulation resp. simulation for model transformations specified by triple graph grammars and semantic definitions given by graph transformation rules. In particular, we show that the behavior preservation problem can be reduced to invariant checking for graph transformation and that the resulting checking problem can be addressed by our own invariant checker even for a complex example where a sequence chart is transformed into communicating automata. We further discuss today's limitations of invariant checking for graph transformation and motivate further lines of future work in this direction.
Programming Language Pragmatics
Programming Language Pragmatics, Third Edition, is the most comprehensive programming language book available today. Taking the perspective that language design and implementation are tightly interconnected and that neither can be fully understood in isolation, this critically acclaimed and bestselling book has been thoroughly updated to cover the most recent developments in programming language design, inclouding Java 6 and 7, C++0X, C# 3.0, F#, Fortran 2003 and 2008, Ada 2005, and Scheme R6RS. A new chapter on run-time program management covers virtual machines, managed code, just-in-time and dynamic compilation, reflection, binary translation and rewriting, mobile code, sandboxing, and debugging and program analysis tools. Over 800 numbered examples are provided to help the reader quickly cross-reference and access content. This text is designed for undergraduate Computer Science students, programmers, and systems and software engineers. - Classic programming foundations text now updated to familiarize students with the languages they are most likely to encounter in the workforce, including including Java 7, C++, C# 3.0, F#, Fortran 2008, Ada 2005, Scheme R6RS, and Perl 6. - New and expanded coverage of concurrency and run-time systems ensures students and professionals understand the most important advances driving software today. - Includes over 800 numbered examples to help the reader quickly cross-reference and access content.