In this paper we examine a procedure for the analysis of data based on the dynamic profiling of Java programs. In particular, we describe the issues involved in dynamic analysis, propose a metric for discrimination between the resulting data sets, and examine its application over different test suites and compilers.
Index Terms:
Java Virtual Machine, Bytecode Analysis, Contingency Measure
Citation:
Jane Horgan, James Power, John Waldron, "Measurement and Analysis of Runtime Profiling Data for Java Programs," scam, pp.0124, First IEEE International Workshop on Source Code Analysis and Manipulation, 2001