Safety and Reliability of Software Based Systems: Twelfth by John Rushby (auth.), Roger Shaw (eds.)

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By John Rushby (auth.), Roger Shaw (eds.)

Safety and Reliability of software program established Systems comprises papers, awarded on the 12th annual workshop organised by way of the Centre for software program Reliability. Contributions come from assorted industries in lots of international locations, and supply dialogue and cross-fertilisation of principles appropriate to platforms whose security and/or reliability are of paramount hindrance.
This e-book discusses security situations and their various roles in numerous industries; utilizing size to enhance reliability and security of software-based platforms; most up-to-date advancements in handling, constructing and assessing software program extensive structures the place reliability and/or safeguard are vital concerns; and useful reviews of others in industry.

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Extra info for Safety and Reliability of Software Based Systems: Twelfth Annual CSR Workshop (Bruges, 12–15 September 1995)

Sample text

A specification may admit too many behaviors for state exploration to succeed, but it may be possible to develop a "downscaled" version that can be examined in this way. For example, a communications protocol may be designed to move arbitrary data reliably over a faulty channel using sequence numbers that cycle through the range O•.. 255. For state exploration, we could downscale the protocol to consider just one or two different data values, and with sequence numbers restricted to 0 and 1. Experience indicates that examining all behaviors of a downscaled design is often a more potent validation and assurance technique than examining some of the behaviors of the full design.

The process is essentially similar to that used in challenging specifications, except that the properties verified are of external significance, and the proofs are usually more difficult and longer. The basic idea is that we construct a formal specification of the requirement, design, or algorithm concerned, and also a formal statement of the property it is desired to satisfy, and then try to prove that the one implies the other. In practice, the first proof attempt seldom succeeds; instead it usually reveals the need for adjustments to the specification, or to the statement of the desired property or the assumptions under which it is expected to hold.

Stack{p) = I). A disadvantage of model-oriented specifications is that they can be overly prescriptive: suggesting how something is to be implemented, rather than just the properties it is required to have. For example, even though the specification of the least function does not prescribe an algorithm, it is stated in terms of the pointer and array model, and so it would be fairly difficult to use this specification to establish correctness of an implementation that used linked lists instead. 2 Property- Oriented Specifications In contrast to the model-oriented style of specification that is often preferred for program-level descriptions, specifications of early-lifecycle products such as requirements commonly use property-oriented notations.

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