EASE 2021 (series) / Vision and Emerging Results Track /
Open Data-driven Usability Improvements of Static Code Analysis and its Challenges
Wed 23 JunDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
Wed 23 Jun
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
13:00 - 14:30 | Software Quality EASE 2021 / Vision and Emerging Results Track at Zoom Chair(s): Irit Hadar University of Haifa | ||
13:00 22mFull-paper | Detection and Elimination of Systematic Labeling Bias in Code Reviewer Recommendation Systems EASE 2021 K. Ayberk Tecimer Technical University of Munich, Eray Tüzün Bilkent University, Hamdi Dibeklioğlu Bilkent University, Hakan Erdogmus Carnegie Mellon University Pre-print | ||
13:22 22mFull-paper | From Blackboard to the Office: A Look into how Practitioners Perceive Software Testing Education EASE 2021 Luana Martins Federal University of Bahia, Vinícius Brito Federal University of Bahia, Daniela Feitosa Federal University of Bahia, Larissa Rocha Federal University of Bahia / State University of Feira de Santana, Heitor Augustus Xavier Costa Federal University of Lavras, Ivan Machado Federal University of Bahia Pre-print | ||
13:45 22mFull-paper | Measurement-based Experiments on the Mobile Web: A Systematic Mapping Study EASE 2021 Pre-print | ||
14:07 22mVision and Emerging Results | Open Data-driven Usability Improvements of Static Code Analysis and its Challenges Vision and Emerging Results Track Emma Söderberg Lund University, Luke Church University of Cambridge | Lund University | Lark Systems, Martin Höst Lund University Pre-print |