Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Methodology for Analyzing Uptake of Software Technologies Among
  Developers   Motivation: The question of what combination of attributes drives the
adoption of a particular software technology is critical to developers. It
determines both those technologies that receive wide support from the community
and those which may be abandoned, thus rendering developers' investments
worthless. Aim and Context: We model software technology adoption by developers
and provide insights on specific technology attributes that are associated with
better visibility among alternative technologies. Approach: We leverage social
contagion theory and statistical modeling to identify, define, and test
empirically measures that are likely to affect software adoption. More
specifically, we leverage a large collection of open source version control
repositories to construct a software dependency chain for a specific set of R
language source-code files. We formulate logistic regression models, to
investigate the combination of technological attributes that drive adoption
among competing data frame implementations in the R language: tidy and
data.table. We quantify key project attributes that might affect adoption and
also characteristics of developers making the selection. Results: We find that
a quick response to raised issues, a larger number of overall deployments, and
a larger number of high-quality StackExchange questions are associated with
higher adoption. Decision makers tend to adopt the technology that is closer to
them in the technical dependency network and in author collaborations networks
while meeting their performance needs. Future work: We hope that our
methodology encompassing social contagion that captures both rational and
irrational preferences and the elucidation of key measures from large
collections of version control data provides a general path toward increasing
visibility, driving better informed decisions, and producing more sustainable
and widely adopted software

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The categories of this paper are: q-fin
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
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The categories of this paper are: nlin
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The categories of this paper are: hep-lat
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The categories of this paper are: comp-gas
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The categories of this paper are: econ
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The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ex