

Type of Document Master's Thesis Author Singh, Hermanpreet Author's Email Address hsingh@vt.edu URN etd-11292004-155755 Title Introspective C++ Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Gracanin, Denis Committee Chair Bohner, Shawn A. Committee Member Edwards, Stephen H. Committee Member Keywords
- introspection
- templates
- metaprogramming
- c++
Date of Defense 2004-08-20 Availability unrestricted Abstract Introspection has become a significant language feature to enable new component technologies.It enables such capabilities as runtime component discovery, new levels of component flexibility and change tolerance, dynamic reconfiguration and system self healing. Three levels of introspection are discussed: simple type identification, structural introspection, and behavioral introspection
The C++ programming language offers type identification, but neither structural or behavioral introspection. Through its use and combination of several language features, C++ has provided a flexible system for achieving some of the features of introspection without explicitly providing it. Features such as templates, operator overloading, polymorphism, and multiple inheritance have allowed software systems in C++ to build flexible components that tolerate change and support dynamic reconfiguration and self healing. The template system in particular has recently been shown to be more capable than expected, being Turing complete in its own right.
Despite their existing capabilities, the language features have their limits and would benefit from an introspective mechanism. Unlike traditional introspective systems that execute solely at run-time, Introspective C++ has chosen a compile-time approach that tightly integrates with the template mechanism. This approach enables interaction with the other language mechanisms during the compilation, enabling the resolution of many introspective questions before the compiled program is ever run. Furthermore, the mechanism can serve as a base for developing run-time introspective systems.
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