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Sun 20 - Fri 25 October 2019 Athens, Greece
Thu 24 Oct 2019 14:00 - 14:22 at Attica - Corpus Studies Chair(s): Jonathan Aldrich

This paper is a reproduction of work by Ray et al. which claimed to have uncovered a statistically significant association between eleven programming languages and software defects in projects hosted on GitHub. First we conduct an experimental repetition, repetition is only partially successful, but it does validate one of the key claims of the original work about the association of ten programming languages with defects. Next, we conduct a complete, independent reanalysis of the data and statistical modeling steps of the original study. We uncover a number of flaws that undermine the conclusions of the original study as only four languages are found to have a statistically significant association with defects, and even for those the effect size is exceedingly small. We conclude with some additional sources of bias that should be investigated in follow up work and a few best practice recommendations for similar efforts.

Thu 24 Oct
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14:00 - 15:30: OOPSLA - Corpus Studies at Attica
Chair(s): Jonathan AldrichCarnegie Mellon University
splash-2019-oopsla14:00 - 14:22
Emery BergerUniversity of Massachusetts Amherst, Celeste HollenbeckNortheastern University, Petr MajCzech Technical University, Olga VitekNortheastern University, Jan VitekNortheastern University
Link to publication DOI Pre-print
splash-2019-oopsla14:22 - 14:45
Luis MastrangeloUniversità della Svizzera italiana, Matthias HauswirthUniversità della Svizzera italiana, Nate NystromUniversità della Svizzera italiana
splash-2019-oopsla14:45 - 15:07
Aviral GoelNortheastern University, Jan VitekNortheastern University
DOI Pre-print
splash-2019-oopsla15:07 - 15:30
Sifei LuanFacebook, Inc., Di YangUniversity of California, Irvine, Celeste BarnabyFacebook, Inc., Koushik SenUniversity of California, Berkeley, Satish ChandraFacebook