Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Built to Last or Built Too Fast? Evaluating Prediction Models for Build
  Times   Automated builds are integral to the Continuous Integration (CI) software
development practice. In CI, developers are encouraged to integrate early and
often. However, long build times can be an issue when integrations are
frequent. This research focuses on finding a balance between integrating often
and keeping developers productive. We propose and analyze models that can
predict the build time of a job. Such models can help developers to better
manage their time and tasks. Also, project managers can explore different
factors to determine the best setup for a build job that will keep the build
wait time to an acceptable level. Software organizations transitioning to CI
practices can use the predictive models to anticipate build times before CI is
implemented. The research community can modify our predictive models to further
understand the factors and relationships affecting build times.

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The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
20
The categories of this paper are: acc-phys
7
The categories of this paper are: hep-th
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess