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• W202671471 abstract "Program development, debugging, and maintenance can be greatly improved by the use of software tools that provide information about program behavior. This thesis focuses on a number of useful software tools and shows how their efficiency, generality, and precision can be increased through the use of control-flow and control dependence analysis. We consider two classes of tools: execution measurement tools, which collect information about a particular program execution; and program analysis tools, which provide information about potential program behavior by statically analyzing the program.We consider three tools that measure aspects of a program's execution: profiling, tracing, and event counting tools. We describe algorithms for profiling and tracing programs that use a combination of control-flow analysis and program instrumentation to produce exact profiles and traces with low run-time overhead. Rather than record information at every point in a program, the algorithms record information at a subset of points that uniquely determines the information at unmeasured points. A unique part of our work is to classify various profiling problems, based on what is profiled and where profiling code is placed, and to compare the run-time costs of the various problems. Event counting is a special form of profiling that maintains an aggregate count of events in an execution.We also consider three semantics-based software tools: slicing, differencing, and integration. A slicing tool computes a projection of a program that preserves the behavior of the original program at a particular statement. Such a tool is useful for debugging, since statements not in the projection have no effect on the statement of interest. Differencing compares the behavior of two programs, and integration merges variants of an original program so as to preserve the changed computations in each variant with respect to the original program. To date, no work has adequately addressed how to slice, difference, and integrate programs with complex control-flow (i.e., programs containing unconditional jumps such as GOTOs). We show how to extend slicing, differencing, and integration to languages with complex control-flow. Our results on control dependence are the basis for extending these tools to handle a larger class of languages." @default.
• W202671471 created "2016-06-24" @default.
• W202671471 creator A5080328005 @default.
• W202671471 date "1993-01-02" @default.
• W202671471 modified "2023-09-24" @default.
• W202671471 title "The use of control-flow and control dependence in software tools" @default.
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