Keynote by Satish Chandra, Facebook.
Title: Machine Learning for Developer Productivity at Facebook
Abstract: While machine learning has the potential to fundamentally improve how software is constructed, opportunities to leverage machine learning to improve conventional developer tools have gone untapped in practice. At Facebook, our developer infrastructure team is on a mission to rethink and retool Facebook’s developer toolchain by applying machine learning at every layer in our stack. Our goal is to make our developers more productive, and our processes and infrastructure more efficient, by integrating ML into our programming languages and developer tools, including IDEs, version control, or continuous integration systems, in novel ways. This talk will describe some of the work our team has been doing to improve developer efficiency and resource utilization at Facebook. I’ll also touch upon future opportunities we see to optimize or auto-tune other common pieces of developer infrastructure.
Bio: Satish Chandra obtained a PhD from the University of Wisconsin-Madison in 1997, and a B.Tech from the Indian Institute of Technology-Kanpur in 1991, both in computer science. From 1997 to 2002, he was a member of technical staff at Bell Laboratories, where his research focused on program analysis, domain-specific languages, and data-communication protocols. From 2002 to 2013, he was a research staff member at IBM Research, where his research focused on bug finding and verification, software synthesis, and test automation. His work on bug finding shipped in IBM’s Java static analysis product, and his work on test automation was adopted in IBM’s testing services offering. From 2013 to 2016, he worked at Samsung Research America, where he led the advanced programming tools research team. His work on memory profiling of web apps was included in Samsung’s Tizen IDE. In 2016, he started working at Facebook where he works on program analysis and on applications of machine learning to developer tools. He is an ACM Distinguished Scientist.
Mon 29 JunDisplayed time zone: (UTC) Coordinated Universal Time change
11:00 - 12:00 | Build, CI, & DependenciesTechnical Papers / Registered Reports / Keynote / MSR Awards / FOSS Award / Education / Data Showcase / Mining Challenge / MSR Challenge Proposals / Ask Me Anything at MSR:Zoom Chair(s): Raula Gaikovina Kula NAIST Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack) | ||
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11:12 12mLive Q&A | Using Others' Tests to Avoid Breaking UpdatesMSR - Technical Paper Technical Papers Suhaib Mujahid Concordia University, Rabe Abdalkareem Concordia University, Montreal, Canada, Emad Shihab Concordia University, Shane McIntosh McGill University Pre-print Media Attached | ||
11:24 12mLive Q&A | A Dataset of DockerfilesMSR - Data Showcase Data Showcase A: Jordan Henkel University of Wisconsin–Madison, A: Christian Bird Microsoft Research, A: Shuvendu K. Lahiri Microsoft Research, A: Thomas Reps University of Wisconsin-Madison, USA Media Attached | ||
11:36 12mLive Q&A | Empirical Study of Restarted and Flaky Builds on Travis CIMSR - Technical Paper Technical Papers Thomas Durieux KTH Royal Institute of Technology, Sweden, Claire Le Goues Carnegie Mellon University, Michael Hilton Carnegie Mellon University, USA, Rui Abreu Instituto Superior Técnico, U. Lisboa & INESC-ID DOI Pre-print Media Attached | ||
11:48 12mLive Q&A | LogChunks: A Data Set for Build Log AnalysisMSR - Data Showcase Data Showcase A: Carolin Brandt Delft University of Technology, A: Annibale Panichella Delft University of Technology, A: Andy Zaidman TU Delft, A: Moritz Beller Facebook, USA Pre-print Media Attached | ||
13:00 - 13:15 | "Opening" & AwardsMSR Plenary at MSR:Zoom Chair(s): Georgios Gousios Delft University of Technology, Sunghun Kim Hong Kong University of Science and Technology, Sarah Nadi University of Alberta Live on YouTube: https://www.youtube.com/watch?v=Qvf7mHa-YYs | ||
13:00 15mDay opening | MSR Opening & Awards MSR Plenary Sunghun Kim Hong Kong University of Science and Technology, Sarah Nadi University of Alberta, Georgios Gousios Delft University of Technology Media Attached | ||
13:15 - 14:15 | MSR 2020 KeynoteKeynote at MSR:Zoom Chair(s): Sunghun Kim Hong Kong University of Science and Technology Live on YouTube https://www.youtube.com/watch?v=Qvf7mHa-YYs (Q/A through Slack) | ||
13:15 60mKeynote | Machine Learning for Developer Productivity at FacebookKeynote Keynote Satish Chandra Facebook Media Attached | ||
14:30 - 15:00 | Tutorial 1: GDPR ConsiderationsEducation / Technical Papers at MSR:Zoom2 Chair(s): Abram Hindle University of Alberta, Alexander Serebrenik Eindhoven University of Technology Q/A for tutorial (Joining info available on Slack) | ||
14:30 30mTutorial | Mining Software Repositories While Respecting PrivacyMSR - Tutorial Education Pre-print Media Attached | ||
Tue 30 JunDisplayed time zone: (UTC) Coordinated Universal Time change
11:00 - 12:00 | SecurityData Showcase / Technical Papers at MSR:Zoom2 Chair(s): Dimitris Mitropoulos Athens University of Economics and Business Q/A & Discussion of Session Papers over Zoom (Joining info available on Slack) | ||
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11:48 12mLive Q&A | The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSLMSR - Technical Paper Technical Papers James Walden Northern Kentucky University Pre-print Media Attached | ||