The C programming language
Programming pearls
Human factors and typography for more readable programs
Human factors and typography for more readable programs
Experimental evaluation of a test coverage analyzer for C and C++
Journal of Systems and Software
Seesoft-A Tool for Visualizing Line Oriented Software Statistics
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
Graphical analysis of computer log files
Communications of the ACM
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
Dynamic Aggregation with Circular Visual Designs
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Toward an information visualization workspace: combining multiple means of expression
Human-Computer Interaction
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Code tuning is a well-known technique for improving the run-time performance of software. There are several widely used profilers available that show the heavily used functions. Other profilers provide fine grain profiling detail such as basic block counts. The difficulty in using fine grain profilers is coping with the large volumes of data that they generate.We describe a visualization technique that enables us to display and analyze line count profile data. Our technique is to make a reduced picture of code with the line execution counts identified with the color. We show "hot spots" in red, "warm spots" in orange, and so on. We are also able to identify nonexecuted code and nonexecutable code such as declarations and static tables.