ICSE 2022 (series) /  Journal-First Papers / 
Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection
Wed 11 May 2022 05:00 - 05:05 at ICSE room 1-odd hours - Machine Learning with and for SE 2 Chair(s): Gemma Catolino
Wed 11 May 2022 12:00 - 12:05 at ICSE room 1-even hours - Machine Learning with and for SE 11 Chair(s): Ipek Ozkaya
Fri 27 May 2022 11:30 - 11:35 at Room 301+302 - Papers 19: Machine Learning with and for SE 2 Chair(s): Dalal Alrajeh
Fri 27 May 2022 13:30 - 15:00 at Ballroom Gallery - Posters 3
Wed 11 May 2022 12:00 - 12:05 at ICSE room 1-even hours - Machine Learning with and for SE 11 Chair(s): Ipek Ozkaya
Fri 27 May 2022 11:30 - 11:35 at Room 301+302 - Papers 19: Machine Learning with and for SE 2 Chair(s): Dalal Alrajeh
Fri 27 May 2022 13:30 - 15:00 at Ballroom Gallery - Posters 3
Wed 11 MayDisplayed time zone: Eastern Time (US & Canada) change
Wed 11 May
Displayed time zone: Eastern Time (US & Canada) change
| 12:00 - 13:00 | Machine Learning with and for SE 11Journal-First Papers / Technical Track at ICSE room 1-even hours  Chair(s): Ipek Ozkaya Carnegie Mellon Software Engineering Institute | ||
| 12:005m Talk | Lessons Learnt on Reproducibility in Machine Learning Based Android Malware Detection Journal-First Papers Nadia Daoudi SnT, University of Luxembourg, Kevin Allix University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of LuxembourgLink to publication Pre-print Media Attached | ||
| 12:055m Talk | DeepAnalyze: Learning to Localize Crashes at Scale Technical Track Manish Shetty Microsoft Research, India, Chetan Bansal Microsoft Research, Suman Nath Microsoft Corporation, Sean Bowles Microsoft, Henry Wang Microsoft, Ozgur Arman Microsoft, Siamak Ahari MicrosoftPre-print Media Attached | ||
| 12:105m Talk | EREBA: Black-box Energy Testing of Adaptive Neural Networks Technical Track Mirazul Haque UT Dallas, Yaswanth Yadlapalli University of Texas at Dallas, Wei Yang University of Texas at Dallas, Cong Liu University of Texas at Dallas, USAPre-print Media Attached | ||
| 12:155m Talk | Fast Changeset-based Bug Localization with BERT Technical Track Agnieszka Ciborowska  Virginia Commonwealth University, Kostadin Damevski Virginia Commonwealth UniversityPre-print Media Attached | ||
| 12:205m Talk | Multilingual training for Software Engineering Technical Track Toufique Ahmed University of California at Davis, Prem Devanbu Department of Computer Science, University of California, DavisDOI Pre-print Media Attached | ||
| 12:255m Talk | Using Pre-Trained Models to Boost Code Review Automation Technical Track Rosalia Tufano Università della Svizzera Italiana, Simone Masiero Software Institute @ Università della Svizzera Italiana, Antonio Mastropaolo Università della Svizzera italiana, Luca Pascarella Università della Svizzera italiana (USI), Denys Poshyvanyk William and Mary, Gabriele Bavota Software Institute, USI Università della Svizzera italianaPre-print Media Attached | ||
Fri 27 MayDisplayed time zone: Eastern Time (US & Canada) change
Fri 27 May
Displayed time zone: Eastern Time (US & Canada) change
 Information for Participants
Wed 11 May 2022 05:00 - 06:00 at ICSE room 1-odd hours - Machine Learning with and for SE 2 Chair(s): Gemma Catolino
Info for room ICSE room 1-odd hours: 
Wed 11 May 2022 12:00 - 13:00 at ICSE room 1-even hours - Machine Learning with and for SE 11 Chair(s): Ipek Ozkaya
Info for room ICSE room 1-even hours: 


