A Tool Framework for Static and Dynamic Analysis of Object-Oriented Software with Templates

K. Lindlan, J. Cuny, A. Malony, S. Shende, B. Mohr, R. Rivenburgh, C. Rasmussen
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引用次数: 107

Abstract

The developers of high-performance scientific applications often work in complex computing environments that place heavy demands on program analysis tools. The developers need tools that interoperate, are portable across machine architectures, and provide source-level feedback. In this paper, we describe a tool framework, the Program Database Toolkit (PDT), that supports the development of program analysis tools meeting these requirements. PDT uses compile-time information to create a complete database of high-level program information that is structured for well-defined and uniform access by tools and applications. PDT’s current applications make heavy use of advanced features of C++, in particular, templates. We describe the toolkit, focussing on its most important contribution -- its handling of templates -- as well as its use in existing applications.
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基于模板的面向对象软件静态与动态分析工具框架
高性能科学应用程序的开发人员经常在复杂的计算环境中工作,这对程序分析工具提出了很高的要求。开发人员需要能够互操作、跨机器架构可移植并提供源代码级反馈的工具。在本文中,我们描述了一个工具框架,程序数据库工具包(PDT),它支持开发满足这些需求的程序分析工具。PDT使用编译时信息来创建高级程序信息的完整数据库,该数据库是为工具和应用程序的定义良好和统一的访问而构建的。PDT当前的应用程序大量使用c++的高级特性,特别是模板。我们将描述这个工具包,重点关注它最重要的贡献——它对模板的处理——以及它在现有应用程序中的使用。
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