A tool framework for static and dynamic analysis of object-oriented software with templates

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 des...

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Published inProceedings of the 2000 ACM/IEEE conference on Supercomputing pp. 49 - 49-es
Main Authors Lindlan, Kathleen A., Cuny, Janice, Malony, Allen D., Shende, Sameer, Juelich, Forschungszentrum, Rivenburgh, Reid, Rasmussen, Craig, Mohr, Bernd
Format Conference Proceeding
LanguageEnglish
Published Washington, DC, USA IEEE Computer Society 01.11.2000
SeriesACM Conferences
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Summary: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.
ISBN:9780780398023
0780398025
DOI:10.5555/370049.370456