M. Edvinsson and W. Löwe (Sweden)
Data Flow Analysis, Static Analysis, Parallel Algo rithm.
Program analysis supporting software development is often part of edit-compile-cycles and precise program analysis is time consuming. With the availability par allel processing power on desktop computers, paral lelization is a way to speed up program analysis. This paper introduces a parallelization schema for program analysis that can be translated to parallel machines us ing standard scheduling techniques. First benchmarks analyzing a number of Java programs indicate that the schema scales well for up to 8 processors, but not very well for 128 processors. These results are a first step towards more precise program analysis in Inte grated Development Environments utilizing the com putational power of today’s custom computers.
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