By David Harel (auth.), Armin Biere, Amir Nahir, Tanja Vos (eds.)
ISBN-10: 3642396100
ISBN-13: 9783642396106
ISBN-10: 3642396119
ISBN-13: 9783642396113
This e-book constitutes the completely refereed complaints of the eighth overseas Haifa Verification convention, HVC 2012, held in Haifa, Israel in November 2012. The 18 revised complete papers offered including three poster shows have been conscientiously reviewed and chosen from 36 submissions. They concentrate on the longer term instructions of checking out and verification for undefined, software program, and intricate hybrid systems.
Read or Download Hardware and Software: Verification and Testing: 8th International Haifa Verification Conference, HVC 2012, Haifa, Israel, November 6-8, 2012. Revised Selected Papers PDF
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Additional info for Hardware and Software: Verification and Testing: 8th International Haifa Verification Conference, HVC 2012, Haifa, Israel, November 6-8, 2012. Revised Selected Papers
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Acc. ) Connection [4] 2 0 1 1 0 0 1 34 112 45 Coord03 [2] Local [2] NASA [2] 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 3 1 0 13 3 7 170 33 121 43 42 43 Coord04 [3] Buffer [3] DoubleCheck [3] 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 3 7 2 7 8 7 47 64 51 40 41 41 StringBuffer [5] 1 0 1 1 0 0 0 12 52 44 Account [9] Jigsaw [9] OverReporting [9] UnderReporting [9] 1 1 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 0 3 33 6 3 65 145 52 31 40 40 42 39 Allocate Vector [6] 1 0 1 0 0 0 1 24 304 41 Knight [7] 1 Arithmetic Database [7] 3 0 0 1 3 0 1 0 1 0 0 2 0 10 24 223 416 41 54 Total 0 10 3 3 0 23 – – – 15 Evaluation To evaluate the accuracy of our algorithms and techniques, we adapted and implemented the theoretical framework described in the previous sections to the Java Bytecode language, where the atomic methods are defined using the @Atomic method annotation.
Our only way out of this problem is to point out that it is easy to overapproximate this information (in the worst case just take the whole list of global variables) and to state that, based on our experience with a multitude of real programs, it is rather easy to compute this information precisely or slightly overapproximate it with static analysis techniques such as alias analysis. Indeed, the same exact problem exists in rvt and SymDiff for the case of partial equivalence, and there, as in our case, overapproximation can only hinder completeness, not soundness.
2 An Example The following example demonstrates Alg. 1. Consider the call graphs in Fig. 4. Assume that fi , fi ∈ mapF for i = 1, . . , 5, and that the functions represented by gray nodes are known to be partially equivalent to their counterparts. Line 4 generates the following nodes of the MSCC DAGs: M D = {{f5 }, f1 f1 f5 f3 f2 f4 f5 f3 f2 f4 f6 Fig. 4. Call graphs of the input programs P, P . Partially equivalent functions are gray. Proving Mutual Termination of Programs 35 Table 1. Applying Alg.
Hardware and Software: Verification and Testing: 8th International Haifa Verification Conference, HVC 2012, Haifa, Israel, November 6-8, 2012. Revised Selected Papers by David Harel (auth.), Armin Biere, Amir Nahir, Tanja Vos (eds.)
by Paul
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