Fast “metal languages” like C and C++ are important, but code is increasingly written in inefficient “irrational exuberance” languages like Python and Javascript. We in the research community can develop technology to make them run better.
Five easy pieces of advice to getting your work to have real-world impact: not guaranteed to get your work adopted, but will definitely increase the odds of luck being on your side.
This post showcases three papers published in SIGPLAN venues which will appear as Research Highlights in upcoming issues of the Communications of the ACM.
To avoid an empirical replication crisis in programming languages research, PL researchers should employ the best scientific practices for empirical evaluation. A SIGPLAN empirical evaluation committee has assembled a checklist to help.
