JVM-hosted languages: They talk the talk, but do they walk the walk?

The rapid adoption of non-Java JVM languages is impressive: major international corporations are staking critical parts of their software infrastructure on components built from languages such as Scala and Clojure. However with the possible exception of Scala, there has been little academic consideration and characterization of these languages to date. In this paper, we examine four nonJava JVM languages and use exploratory data analysis techniques to investigate differences in their dynamic behavior compared to Java. We analyse a variety of programs and levels of behavior to draw distinctions between the different programming languages. We briefly discuss the implications of our findings for improving the performance of JIT compilation and garbage collection on the JVM platform

Dependability Metrics : Research Workshop Proceedings

Justifying reliance in computer systems is based on some form of evidence about such systems. This in turn implies the existence of scientific techniques to derive such evidence from given systems or predict such evidence of systems. In a general sense, these techniques imply a form of measurement. The workshop Dependability Metrics'', which was held on November 10, 2008, at the University of Mannheim, dealt with all aspects of measuring dependability

Bigram Analysis of Java Bytecode Sequences

Introduction Much research has been conducted in the analysis of Java bytecodes in order to gain a better understanding of how Java programs behave. One branch of this research has focused on analysing bytecode usage within the Java Virtual Machine (JVM), with particular emphasis on analysing bytecodes associated with various benchmark programs. Previous research has focused on the frequencies of the individual bytecodes at the static class-file level [2]. Another branch examines dynamic bytecodes, as executed by the JVM itself at run-time [4, 6]. This project follows on from previous dynamic bytecode analysis, analysing streams of Java bytecodes produced at the platform independent level. It di#ers from previous projects, in that it is not concentrating on the occurrences of the individual bytecodes, but in the occurrences of bigrams, or bytecode pairs. We report on a project that performed a bigram analysis of dynamic bytecode sequences. The objective was to identify the most com