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Program slicing in understanding of large programs

Authors: Bogdan Korel; Juergen Rilling;

Program slicing in understanding of large programs

Abstract

Program slicing transforms a large program into a smaller one that contains only statements relevant to the computation of a given function. It has been shown that program slicing can be useful in program understanding. Traditionally, program slices are represented in the textual form. Although slicing does narrow the size of the program, the textual representation of a slice does not provide much guidance in the understanding of large programs. In this paper we present program slicing concepts on the module level that allow for better understanding of program slices of large programs and their executions. These concepts have been developed for static and dynamic program slicing and are combined with different methods of visualization to guide programmers in the process of program understanding. The presented concepts have been implemented in the slicing tool that is used to investigate the usefulness of these concepts in the process of understanding of large programs.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Top 10%
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