
Constructive Methods in Computing Science by Fl Bauer
Computing Science is a science of constructive methods. The solution of a problem has to be described formally by constructive techniques, if it is to be evaluated on a computer. The Marktoberdorf Advanced Study Institute 1988 presented a comprehensive survey of the recent research in constructive methods in Computing Science. Some approaches to a methodological framework and to supporting tools for specification, development and verification of software systems were discussed in detail. Other lectures dealt with the relevance of the foundations of logic for questions of program construction and with new programming paradigms and formalisms which have proven to be useful for a constructive approach to software development. The construction, specification, design and verification especially of distributed and communicating systems was discussed in a number of complementary lectures. Examples for those approaches were given on several levels such as semaphores, nondeterministic state transition systems with fairness assumptions, decomposition of specifications for concurrent systems in liveness and safety properties and functional specifications of distributed systems. Construction methods in programming that were presented range from type theory, the theory of evidence, theorem provers for proving properties of functional programs to category theory as an abstract and general concept for the description of programming paradigms.-
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Constraint Programming
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Logic and Algebra of Specification
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Distributed Operating Systems
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Pattern Recognition Theory and Applications
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CAD Based Programming for Sensory Robots
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Modelling and Analysis in Arms Control
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Organizational Learning and Technological Change
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Learning from Computers: Mathematics Education and Technology
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Computational Mathematical Programming
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Information Technology and the Computer Network
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Image Sequence Processing and Dynamic Scene Analysis
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Simulation and Model-Based Methodologies: An Integrative View
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Program Transformation and Programming Environments
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Computer Architectures for Spatially Distributed Data
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Computer Supported Collaborative Learning
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Database Machines
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Face Recognition
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Designing Computer-Based Learning Materials
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Information Systems: Failure Analysis
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Mathematical Models for Decision Support
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New Systems and Architectures for Automatic Speech Recognition and Synthesis
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Electronic Systems Effectiveness and Life Cycle Costing
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Logics and Models of Concurrent Systems
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Issues in Acoustic Signal — Image Processing and Recognition
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Knowledge Acquisition, Organization, and Use in Biology
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Recent Advances in Speech Understanding and Dialog Systems
Wolfgang Bü¾¦˜¼hm works at the Chair of Software and Systems Engineering at the Technical University of Munich since 2010. During this time, he was in charge of several research projects, among them the SPES projects SPES2020, SPES_XT, and CrESt. Prior to this appointment, he had worked as a System Software Engineer for the Private Networks Division of Siemens AG.
Manfred Broy is full professor for Computer Science at the Institute for Computer Science of the Technical University of Munich. The core topic of his research is the development of complex software systems based on a solid scientific foundation, by means of well-elaborated processes, durable and flexible software architectures, and modern tools on the basis of mathematical and logical methods. He was awarded the Leibniz Preis in 1994 and bestowed the Order of Merit (Bundesverdienstkreuz) in 1996, and received the Konrad-Zuse-Medal for extraordinary services in Computer Science in 2007. Manfred Broy is a Max-Planck-Fellow, member of the German Academy of Science and Engineering and the German National Academy of the Sciences Leopoldina.
Cornel Klein is Research Program Manager within the Technology Field Software and Systems Innovation of Siemens Corporate Technology in Munich. He is currently leading a corporate research program on validation and engineering of intelligent and autonomous systems. Starting his career 1998 at Siemens Public Networks, he held several management and expert positions within the company and also represented Siemens in external partnerships like ITEA, ARTEMIS/ECSEL and SPES. He has gained an extensive knowledge in communications, cyber-physical and embedded systems, software- and systems engineering as well as in application domains like automotive, mobility and smart cities/smart buildings.
Klaus Pohl is full professor for Software Systems Engineering at the University of Duisburg-Essen in Germany, as well as professor at the University of Limerick, Ireland. He is founding director of the Irish Software Engineering Research Centre Lero. His main research interests comprise Requirements Engineering, Service-Based Systems Engineering, Software Quality Assurance as well as Software Product Line Engineering. He is coordinator of the FP7 Network of Excellence S-Cube and member of a number of steering committees and boards of directors.
Bernhard Rumpe is full professor for Software Engineering at the RWTH Aachen University, Germany. Earlier he held positions at INRIA/IRISA, Rennes, Colorado State University, TU Braunschweig, Vanderbilt University, Nashville, and TU Munich. His main interests are rigorous and practical software and system development methods based on adequate modeling techniques, including their applications in areas like e.g. autonomous cars, human brain simulation, energy management, juristic contract digitalization, production automation, and cloud infrastructures. He is co-founder of SoSyM the Models conference series, the Aachen Center for Systems Engineering and several Start-Ups.
Sebastian Schrü¾¦˜¼ck is working as senior expert and project manager at Corporate Sector Research and Advance Engineering of the Bosch Group. After studying Mechanical Engineering in Germany and Finland, he received a doctorate in engineering from the Helmut-Schmidt-University in Hamburg. His current fields of work are versatile production systems as well as national and international publicly funded projects. Furthermore, he is working as an independent expert for the European Commission.
| SKU | Unavailable |
| ISBN 13 | 9783642748868 |
| ISBN 10 | 3642748864 |
| Title | Constructive Methods in Computing Science |
| Author | Fl Bauer |
| Series | Nato Asi Subseries F |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2011-12-06 |
| Number of pages | 478 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

















































