Dynamic metrics for java
Dynamic metrics for java
复制标题
java 的动态指标
DOI：
10.1145/949305.949320
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Clark Verbrugge
中科院分区：
文献类型：
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作者：
Bruno Dufour;K. Driesen;L. Hendren;Clark Verbrugge
为了在优化编译和运行时系统设计方面进行有意义的实验，研究人员通常依赖于一套对所考虑的优化技术感兴趣的基准程序。基于定性评价，程序被描述为数字的、内存密集型的、并发的或面向对象的，在某些情况下几乎没有理由。我们认为，用一组简明而精确定义的指标来量化程序的行为是有益的，以便使程序行为的这些直观概念更加具体，并受到实验验证。因此，我们定义并测量了一组明确的、动态的、健壮的、与体系结构无关的指标，这些指标可用于根据程序在五个方面的动态行为对其进行分类：大小、数据结构、内存使用、并发性和多态性。本文给出了一个为Java程序计算其中一些指标的框架，并给出了具体的结果，演示了如何使用指标数据来理解程序的行为，并指导和评估编译器优化。
In order to perform meaningful experiments in optimizing compilation and run-time system design, researchers usually rely on a suite of benchmark programs of interest to the optimization technique under consideration. Programs are described as numeric, memory-intensive, concurrent, or object-oriented, based on a qualitative appraisal, in some cases with little justification. We believe it is beneficial to quantify the behaviour of programs with a concise and precisely defined set of metrics, in order to make these intuitive notions of program behaviour more concrete and subject to experimental validation. We therefore define and measure a set of unambiguous, dynamic, robust and architecture-independent metrics that can be used to categorize programs according to their dynamic behaviour in five areas: size, data structure, memory use, concurrency, and polymorphism. A framework computing some of these metrics for Java programs is presented along with specific results demonstrating how to use metric data to understand a program's behaviour, and both guide and evaluate compiler optimizations.