Toward an automated benchmark management system

Lisa Nguyen Quang Do, Michael Eichberg, E. Bodden
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引用次数: 8

Abstract

The systematic evaluation of program analyses as well as software-engineering tools requires benchmark suites that are representative of real-world projects in the domains for which the tools or analyses are designed. Such benchmarks currently only exist for a few research areas and even where they exist, they are often not effectively maintained, due to the required manual effort. This makes evaluating new analyses and tools on software that relies on current technologies often impossible. We describe ABM, a methodology to semi-automatically mine software repositories to extract up-to-date and representative sets of applications belonging to specific domains. The proposed methodology facilitates the creation of such collections and makes it easier to release updated versions of a benchmark suite. Resulting from an instantiation of the methodology, we present a collection of current real-world Java business web applications. The collection and methodology serve as a starting point for creating current, targeted benchmark suites, and thus helps to better evaluate current program-analysis and software-engineering tools.
迈向自动化基准管理系统
程序分析和软件工程工具的系统评估需要基准套件,这些基准套件代表了工具或分析被设计的领域中的实际项目。这样的基准目前只存在于少数研究领域,即使存在,由于需要人工的努力,它们通常也不能有效地维护。这使得评估依赖于当前技术的软件上的新分析和工具通常是不可能的。我们描述了ABM,一种半自动挖掘软件存储库的方法,以提取属于特定领域的最新和有代表性的应用程序集。建议的方法促进了此类集合的创建,并使发布基准套件的更新版本变得更加容易。通过该方法的实例化,我们呈现了当前真实世界的Java业务web应用程序的集合。收集和方法作为创建当前的、有目标的基准套件的起点,因此有助于更好地评估当前的程序分析和软件工程工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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