Formal methods in systems engineering
As computer technology is used to control critical systems to an increasing degree, it is vital that the methods for developing and understanding these systems are substantially improved. The mathematical and scientific foundations currently used are extremely limited which means that their correctness and reliability cannot be ensured to an acceptable level. Systems engineering needs to become a fully fledged scientific discipline and formal methods, which are characterised by their firm mathematical foundations, are playing a vital role in achieving this transition. This volume is based on the proceedings of the Formal Methods Workshop (FM91), held in Drymen, Scotland, 24-27 September 1991. This was the second workshop sponsored by the Canadian and US governments to address the role of formal methods in the development of digital systems. Traditionally, formal methods have evolved in isolation from more conventional approaches, and one of the aims of this workshop was to emphasise the benefits of integrating the two areas. The workshop concentrated on the themes of quality assurance, design methods and mathematical modelling techniques. Particular emphasis was given to safety and security applications. Among the topics covered in this volume are: what is a formal method?; social research on formal methods; current quality assurance methods and formal methods; a pragmatic approach to validation; integrating methods in practice; composition of descriptions; and topics in large program formal development. Formal Methods in Systems Engineering provides an overview of many of the major approaches to formal methods and the benefits which can result from them. It is relevant to academic and industrial researchers, industrial practitioners and government workers with an interest in certification.
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abstract Additional remarks algorithm designs analysis application articles or reports automated behaviour checking Cleanroom compiler Completion components Computational Logic Computer Science Computer Security correctness data designs data flow diagrams definition Description development process domain duration e-mail effort person-years environment error evaluation example execution existing experience External users formal methods formal proof formal specification formal verification function Future developments goals group members Gypsy hardware Hewlett Packard high-integrity computing HP-SL IEEE implementation integrated interactive interface Jean-Raymond Abrial Joseph Goguen Level of effort mathematical modelling mathematical proof methodology notations Nqthm Nuprl operations Participants project leader problem process model product documentation programming language properties protocol prototype prove Published articles quality assurance refinement requirements semantics simulation software development Software Engineering source modules structure Survey contact Technical Report theorem prover theory tion verification weaknesses and suitability