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DBLP
Conference object . 2024
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Problem Domain Oriented Approach for Program Comprehension.

Authors: Maria João Varanda Pereira; Mario Marcelo Berón; Daniela Carneiro da Cruz; Nuno Oliveira 0001; Pedro Rangel Henriques;

Problem Domain Oriented Approach for Program Comprehension.

Abstract

This paper is concerned with an ontology driven approach for Program Comprehension that starts picking up concepts from the problem domain ontology, analyzing source code and, after locating problem concepts in the code, goes up and links them to the programming language ontology. Different location techniques are used to search for concepts embedded in comments, in the code (identifier names and execution traces), and in string-literals associated with I/O statements. The expected result is a mapping between problem domain concepts and code slices. This mapping can be visualized using graph-based approaches like, for instance, navigation facilities through a System Dependency Graph. The paper also describes a PCTool suite, Quixote, that implements the approach proposed.

Countries
Germany, Portugal, Portugal
Keywords

Program comprehension, Program Comprehension, Software visualization, Ontology-based SW development, Problem and Program domain mapping, Code Analysis. Software Visualization, Code analysis, Ontology-based sW development, Problem and program domain mapping, 004, ddc: ddc:004

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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!
0
Average
Average
Average
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