Dynamic Java program corpus analysis - Part 1: The analyzer

Abstract

Program corpus analysis is important in the optimization of runtime systems. Conventional linguistic analysis is static in nature and cannot reflect dynamic behaviors revealed by versatile object-oriented programming languages. We propose a pattern-based runtime profiler in this article. Unlike a conventional profiler or runtime visualization tools, representative program corpora accumulated and benchmarked not only shows monolithic functions that introduce excessive runtime overhead, hut also reflect their correlated code patterns, We propose a pattern-based analysis to address a program runtime bottleneck in a sequence of method invocations. It will reveal more semantic meanings in performance bottleneck rendered by object-oriented programming systems.