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Locating and Understanding Features of Complex Software Systems by Synchronizing Time-, Collaboration- and Code-Focused Views on Execution Traces

Authors: Johannes Bohnet; Stefan Voigt; Jürgen Döllner;

Locating and Understanding Features of Complex Software Systems by Synchronizing Time-, Collaboration- and Code-Focused Views on Execution Traces

Abstract

Extending or modifying features of complex software systems is often a highly time-consuming and cost-intensive task as, beforehand, the features have to be located within the code and to be understood in detail. To support developers in performing this task, we propose a technique that takes execution traces and implementation unit structuring as input data and provides various views thereupon. Views focus on different trace characteristics, namely they are time-, collaboration-, and code-focused. Synchronizing the views creates a rich user interface that helps developers to effectively identify and understand feature relevant parts of the implementation.

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    popularity
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    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!
10
Average
Top 10%
Top 10%
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