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...
Saved in:
Published in | Proceedings of the 2000 ACM/IEEE conference on Supercomputing pp. 49 - 49-es |
---|---|
Main Authors | , , , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
Washington, DC, USA
IEEE Computer Society
01.11.2000
|
Series | ACM Conferences |
Subjects |
Software and its engineering
> Software creation and management
> Designing software
> Software implementation planning
> Software design techniques
Software and its engineering
> Software creation and management
> Software development process management
|
Online Access | Get full text |
Cover
Loading…
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 |