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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Softwaretechnik-Tren...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Softwaretechnik-Trends
Article . 2012 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
DBLP
Article . 2022
Data sources: DBLP
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Analysing the Vocabulary to Identify Knowledge Divergence

Authors: Jan Nonnen; Paul Imhoff;

Analysing the Vocabulary to Identify Knowledge Divergence

Abstract

During the development of a project, words used in source code add up to a big vocabulary, which may lead to a divergent word-understanding and wordknowledge between developers. Even the drop out of a single developer may lead to a big loss of knowledge about words and their meaning. By keeping track of the active developers vocabulary one is able to identify and react upon such situations. In this work we propose a way to identify these by analysing the words contained in identifiers obtained through the commit history in a version control system. A person’s vocabulary contains all words that they have used or have knowledge about, and can be subdivided in an active and passive part. The active side are all the words that the person uses in speech or in written form. In contrast, the passive vocabulary contains all words that one knows. The content of the vocabulary constantly changes. On the one side, it increases due to knowledge gaining, e.g. by reading books, and on the other side it decreases due to forgetting words. Using the commit history of a project one is able to compute the active vocabulary of each developer in the team and to verify if a shared team language can be identified. This work represents an excerpt of the study presented by the authors in [6].

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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!
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