Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
