With a bit of delay, I am happy to announce that last week I successfully defended my PhD! 🎉
A huge thank you to @sback for being a fantastic PhD advisor!
Today @EnFregnan presented our work on the impact of file position on #codereview at @FSEconf. The paper got an ACM Distinguished Paper award 🏆. Here is the preprint 👉https://t.co/YGo0LiydSG
Congratulations to Enrico Fregnan, Larissa Braz, Marco D'Ambros, Gül Calikli, Alberto Bacchelli for their paper being selected as one of the seven @sigsoft Distinguished Paper awards at @FSEconf https://t.co/f0SXJTBZ4w
Hei, please consider to help a thesis student in our group by participating in his experiment (here: https://t.co/PxvSl915tZ) .
Retweets are also appreciated, so we can help him reach as many people as possible! Thank you all!
Hi. We developed a web application to investigate ways to improve code review. If you have javascript knowledge, please help us by participating in this 20-30min experiment:
https://t.co/2JJCWodhX6
To thank you, we will donate 5 USD to the charity of your choice.
Great news! Our paper “First come first served: the impact of file position on code review” (https://t.co/hKUuqZbWGB) was selected as one of the distinguished papers at FSE 2022! 🎉🎉🎉
Congrats and thanks to all the authors @larissabrazb@marquitodambros@GulCalikli@sback_
What a nice way to end the week! Our paper “An Exploratory Study on Regression Vulnerabilities “ has been accepted at @ESEM_conf ! Congrats to @EnFregnan@_VivekArora_ and @sback_ !! 🎊🎊
Amazing news, our paper "First Come First Served: The Impact of File Position on Code Review" has been accepted at FSE! Congrats to all the authors @larissabrazb@GulCalikli@marquitodambros and @sback_ )
A short summary of the paper in the thread below😁
Overall, our findings provide evidence that the relative position in which files are presented has an impact on code reviews’ outcome.
A pre-print of the paper will follow soon. 4/4
Then, we measured the impact of file position on defect finding in code review performing an online experiment. For one defect, participants are 64% less likely to identify it when its file is last as opposed to first. 3/n