Is Open Source Eating the World’s Software? Measuring the Proportion of Open Source in proprietary software using Java Binaries (MSR 2022 - Technical Papers)

Who

Julius Musseau, John Speed Meyers, George P. Sieniawski, C. Albert Thompson, Daniel M. German

Track

MSR 2022 Technical Papers

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When

Thu 19 May 2022 20:00 - 20:04 at MSR Main room - even hours - Session 12: Integration & Large-Scale Mining Chair(s): Jin L.C. Guo, Amjed Tahir

Abstract

That open source software comprises an increasingly large percentage of modern software applications has become conventional wisdom. The exact extent to which open source software constitutes today’s applications is indeterminate, however, at least by the standards of the academic software engineering research community. This paper proposes a methodology and associated tool that can analyze Java binaries and determine the proportion of open source that compose it.

Julius Musseau

Mergebase

John Speed Meyers

Chainguard

George P. Sieniawski

IQT Labs

C. Albert Thompson

Ford Motor Company

Daniel M. German

University of Victoria

Time Zone

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Session Program

Thu 19 May
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20:00 - 20:50	Session 12: Integration & Large-Scale MiningTechnical Papers / Data and Tool Showcase Track at MSR Main room - even hours Chair(s): Jin L.C. Guo McGill University, Amjed Tahir Massey University

20:00 4m Short-paper		Is Open Source Eating the World’s Software? Measuring the Proportion of Open Source in proprietary software using Java Binaries Technical Papers Julius Musseau Mergebase, John Speed Meyers Chainguard, George P. Sieniawski IQT Labs, C. Albert Thompson Ford Motor Company, Daniel M. German University of Victoria
20:04 7m Talk		Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis Technical Papers Gunnar Kudrjavets University of Groningen, Aditya Kumar Snap, Inc., Nachiappan Nagappan Microsoft Research, Ayushi Rastogi University of Groningen, The Netherlands DOI Pre-print
20:11 7m Talk		Methods for Stabilizing Models across Large Samples of Projects(with case studies on Predicting Defect and Project Health) Technical Papers Suvodeep Majumder North Carolina State University, Tianpei Xia North Carolina State University, Rahul Krishna North Carolina State University, Tim Menzies North Carolina State University Pre-print Media Attached
20:18 7m Talk		Do Small Code Changes Merge Faster? A Multi-Language Empirical Investigation Technical Papers Gunnar Kudrjavets University of Groningen, Nachiappan Nagappan Microsoft Research, Ayushi Rastogi University of Groningen, The Netherlands DOI Pre-print
20:25 7m Talk		FaST: A linear time stack trace alignment heuristic for crash report deduplication Technical Papers Irving Muller Rodrigues Polytechnique Montreal, Montreal, Canada, Daniel Aloise Polytechnique Montreal, Eraldo Rezende Fernandes Leuphana University of Lüneburg DOI Pre-print
20:32 4m Talk		TwinDroid: A Dataset of Android app System call traces and Trace Generation Pipeline Data and Tool Showcase Track Asma Razgallah Université du Québec à Chicoutimi, Canada, Raphael Khoury Université du Québec à Chicoutimi, Canada, Jean-Baptiste Poulet Université du Québec à Chicoutimi, Canada
20:36 14m Live Q&A		Discussions and Q&A Technical Papers

Information for Participants

Thu 19 May 2022 20:00 - 20:50 at MSR Main room - even hours - Session 12: Integration & Large-Scale Mining Chair(s): Jin L.C. Guo, Amjed Tahir

Info for room MSR Main room - even hours:

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