Titlebook: Software Verification and Analysis; An Integrated, Hands William Stanley,Janusz Laski Textbook 2009 Springer-Verlag London 2009 Debugging.P

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Textbook 2009ools for assessing and, if possible, improving software quality, specifically its correctness. The term quality assurance is avoided for it is this author’s firm belief that in the current state of the art that goal is unattainable, a plethora of “gu- anteed” solutions to the problem notwithstanding

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n one book.Provides tool support for each of the verificatio“The situation is good, but not hopeless” (Polish folk wisdom) The text is devoted to the Software Analysis and Testing (SAT) methods and s- porting tools for assessing and, if possible, improving software quality, specifically its correctn

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How to Prove a Program Correct: Iterative Programsngle loop program one needs a . an assertion based on the principles of the mathematical induction. It is shown that in some cases one can synthesize the weakest invariant, referred to as the . from the loop specification. Proof support is illustrated by the use of Praxis’ SPARK, including the Simplifier and the Proof Checker.

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Dynamic Program Analysis first at the abstract level and then at the concrete, STAD level. Data and control dependencies on trace are defined as counterparts to the corresponding static concepts. Their application to the derivation of program slices demonstrates that dynamic analysis is a useful and necessary complement to static analysis.

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Program Dependenciesatements. Both are binary relations on the set of nodes in the flowgraph but they can be used as a basis to define other heterogeneous relations, e.g., between statements and variables. The discussion is illustrated by the actual results produced by STAD 4.0.

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