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Durham Research Online
Part of book or chapter of book . 2002 . Peer-reviewed
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https://doi.org/10.1109/cmpsac...
Article . 2003 . Peer-reviewed
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From system comprehension to program comprehension

Authors: Christos Tjortjis; Nicolas Gold; Paul J. Layzell 0001; Keith H. Bennett;

From system comprehension to program comprehension

Abstract

Program and system comprehension are vital parts of the software maintenance process. We discuss the need for both perspectives and describe two methods that may be integrated to provide a smooth transition in understanding from the system level to the program level. Results from a qualitative survey of expert industrial software maintainers, their information needs and requirements when comprehending software are initially presented. We then review existing software tools which facilitate system level and program comprehension. Two successful methods from the fields of data mining and concept assignment are discussed, each addressing some of these requirements. We also describe how these methods can be coupled to produce a broader software comprehension method which partly satisfies all the requirements. Future directions including the closer integration of the techniques are also identified.

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United Kingdom
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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).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
5
Average
Top 10%
Average
Green