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      <title-group>
        <article-title>Lightning Talk: Report on Software Metrics for Research Software</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Gabrielle Allen</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Emily Chen</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ray Idaszaky</string-name>
          <email>rayi@renci.org</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Daniel S. Katz</string-name>
          <email>dskatzg@illinois.edu</email>
        </contrib>
      </contrib-group>
      <abstract>
        <p>-We report on a survey to investigate common metrics for research software, following a plan of work established at a WSSSPE3 working group. I. LIGHTNING TALK 3) If you are now collecting additional metrics for the software components beyond those you planned at that time, what are they? 4) Are there any metrics you planned in your proposal or agreed to before your proposal was awarded that you have since realized that you are not able to collect? 5) Are there any metrics you planned in your proposal or agreed to before your proposal was awarded that you have since realized are not useful? 6) Did you find collecting metrics led to improving the software (e.g. quality, usefulness, sustainability, reliability, performance, impact, etc.)? If so, please indicate which metrics were the most useful and why? The responses to this survey are currently being collected. We will present an initial analysis of the replies and describe next steps in this activity as a lightning talk at WSSSPE4.</p>
      </abstract>
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      <title>-</title>
      <p>
        One of the working groups at WSSSPE3 [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] focused on
discussing metrics for research software. Metrics for research
software were seen as being important for promotion and
tenure, quantifying scientific impact, reducing duplication, and
prioritizing development, among other motivations. The group
planned to investigate common metrics for research software,
to be able to publish a white paper that would be of interest
to the community. As a first step in this direction, we began
an activity to investigate metrics for software that are being
used for the awardees of the National Science Foundation
(NSF) Software Infrastructure for Sustained Innovation (SI2)
program [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. All lead principle investigators for SI2 awards
were contacted with a request to complete a survey to provide
the metrics they had originally proposed to use to assess
their software components, and any additional metrics they
are currently using.
      </p>
      <p>Specifically, the questions asked of the survey respondents
were:
1) Are the software components developed through
your award correctly listed at this web site:
https://sites.google.com/site/softwarecyberinfrastructure/
software/software? If this information is not accurate
please list all software components generated through
your award here.
2) What metrics did you list in your SSI/SSE proposal or
agree to before your award for these software
components?</p>
      <p>ACKNOWLEDGMENT</p>
      <p>Work by E. Chen was supported by the NCSA SPIN
program.</p>
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