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Utility and accuracy of smell-driven performance analysis for end-user programmers

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https://ir.library.oregonstate.edu/concern/articles/r781wh739

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Abstract
  • This paper proposes a technique, called Smell-driven performance analysis (SDPA), which automatically provides situated explanations within a visual dataflow language IDE to help end-user programmers to overcome performance problems without leaving the visual dataflow paradigm. An experiment showed SDPA increased end-user programmers’ success rates at finding performance problems and decreased the time required for finding solutions. Another study, based on using SDPA to analyze a corpus of example end-user programs, revealed that it is usually accurate at identifying performance problems. Based on these results, we conclude that SDPA provides a reliable basis for helping end-user programmers to troubleshoot performance problems, as well as a potential foundation for future work aimed at training users and at aiding code reuse.
  • Keywords: End-user programming, Visual language, Performance
  • Keywords: End-user programming, Visual language, Performance
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  • Chambers, C., & Scaffidi, C. (2015). Utility and accuracy of smell-driven performance analysis for end-user programmers. Journal of Visual Languages & Computing, 26, 1-14. doi:10.1016/j.jvlc.2014.10.017
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  • 26
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  • We thank National Instruments for funding this research, helping to recruit study participants, and providing access to the latest version of the LabVIEW development environment.
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