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ScaffidiChristopherElectricEngineerComputScienceImpactUtilitySmellDrivenPerformance(Tables&Figures).pdf Public Deposited

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https://ir.library.oregonstate.edu/concern/articles/q811kq208

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  • This paper proposes a technique, called Smell-driven performance tuning (SDPT), which semi-automatically assists end-user programmers with fixing performance problems in visual dataflow programming languages. A within-subjects laboratory experiment showed SDPT increased end-user programmers’ success rate and decreased the time they required. Another study, based on using SDPT to analyze a corpus of example end-user programs, demonstrated that applying all available SDPT transformations achieved an execution time improvement of 42% and a memory usage improvement of 20%, comparable to improvements that expert programmers historically had manually achieved on the same programs. These results indicate that SDPT is an effective method for helping end-user programmers to fix performance problems.
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