• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.342-356
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• 2000

We present a static analysis method to automatically generate test data that raise exceptions in input programs. Using the test data from our analysis, a programmer can check whether the raised exceptions are correctly handled with respect to the program's specification. For a given program, starting from the initial constraint that a particular raise expression should be executed, our analysis derives necessary constraints for its input variable. Correctness of our analysis assures that any value that satisfies the derived constraints for the input variable will activate the designated raise expression. In this paper, we formally present such an analysis for a first-order language with the ML-style exception handling constructs and algebraic data values, prove its correctness, and show a set of examples.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.173-180
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• 2010

To specify a formal semantics is to do a significant part for design, standardization and translation of programming languages. The existing studies of a formal semantics for Java have a weak point to describe a clear and practical semantics for an efficient translation. It is necessary to do research for a formal semantics to specify a static and dynamic semantics clearly in order to do an efficient translation. This paper presents the improved Action Equation that specifies a formal semantics for Java to extend the research using Action Equation. The Action Equation is a practical and accurate specification that describes object-oriented programming features and handles exceptions. The specified Action Equation is compared to other descriptions, in terms of readability, modularity, extensibility, and flexibility and then we verified that Action Equation is superior to other formal semantics.