Scalable Techniques for Formal Verification by Ray Sandip

By Ray Sandip

offers an academic advent to the cutting-edge in formal verification
the 1st authoritative connection with talk about disparate reasoning thoughts and the way they paintings with one another in fixing various software problems
Assumes no prior wisdom of formal reasoning and logic
contains a number of case stories to facilitate appreciation of the range of domain names within which the thoughts should be applied

This e-book is set formal veri?cation, that's, using mathematical reasoning to make sure right execution of computing platforms. With the expanding use of c- puting structures in safety-critical and security-critical functions, it really is turning into more and more very important for our future health to make sure that these platforms execute c- rectly. during the last decade, formal veri?cation has made signi?cant headway within the research of commercial structures, fairly within the realm of veri?cation of undefined. A key good thing about formal veri?cation is that it offers a mathematical warrantly in their correctness (up to the accuracy of formal versions and correctness of r- soning tools). within the approach, the research can divulge sophisticated layout blunders. Formal veri?cation is especially potent in ?nding corner-case insects which are dif?cult to become aware of via conventional simulation and checking out. however, and despite its promise, the applying of formal veri?cation has thus far been constrained in an ind- trial layout validation device ?ow. The dif?culties in its large-scale adoption comprise the subsequent (1) deductive veri?cation utilizing theorem provers frequently comprises - cessive and prohibitive handbook attempt and (2) computerized selection approaches (e. g. , version checking) can fast hit the boundaries of accessible time and reminiscence. This booklet offers contemporary advances in formal veri?cation strategies and d- cusses the applicability of the thoughts in making sure the reliability of large-scale platforms. We take care of the veri?cation of various computing platforms, from - quential programsto concurrentprotocolsand pipelined machines.

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Extra info for Scalable Techniques for Formal Verification

Example text

We also freely use the logical operators “^,” “),” etc. as well, in talking about formulas. Formally speaking, the latter are abbreviations. ˚2 )˚1 /. 2 Ground Zero Theory 27 The logical axioms of ACL2 constitute the standard first-order axioms, namely Propositional Axiom, Identity Axiom, and Equality Axiom. These are described below. Notice that all the logical axioms are axiom schemas. Propositional Axiom: For each formula ˚, :˚ _ ˚ is an axiom. Identity Axiom: For each term , the formula D is an axiom.

For example, we can define two functions odd and even as shown in Fig. 3. xi1 ; : : : ; xi ni / D i , i D 1; : : : ; l. To ensure that the axiom does not make the resulting theory inconsistent, ACL2 checks that the purported axiom satisfies certain admissibility requirements. These are listed below. 5 (Admissibility Requirements). Let T be a theory and D be a definitional axiom. Let T be the theory obtained by extending T with the function symbols introduced by D but no axioms. Then, D is admissible if the following conditions are satisfied.

A theory T is a legal theory if and only if it is obtained by a series of extensions from GZ using the extension principles. When we talk about a theory T in this monograph, we always mean a legal theory. The extension principles in ACL2 are (1) the Definitional Principle for introducing total functions, (2) the Encapsulation Principle for introducing constrained or partial functions, and (3) the Defchoose Principle for introducing Skolem functions. These three principles are used in any practical application of ACL2, and we make extensive use of them in modeling computing systems and their properties throughout this monograph.

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