ECOOP 2024
Mon 16 - Fri 20 September 2024 Vienna, Austria
co-located with ISSTA/ECOOP 2024
Tue 17 Sep 2024 14:45 - 15:00 at EI 7 - Chair(s): Jonathan Aldrich, Guido Salvaneschi

Large-scale software repositories are a source of insights for software engineering. They offer an unmatched window into the software development process at scale. Their sheer number and size holds the promise of broadly applicable results. At the same time, that very size presents practical challenges for scaling tools and algorithms to millions of projects. A reasonable approach e is to limit studies to representative samples of the population of interest. Broadly applicable conclusions can then be obtained by generalizing to the entire population. The contribution of this paper is a standardized experimental design methodology for choosing the inputs of studies working with large-scale repositories. We advocate for a methodology that clearly lays out what the population of interest is, how to sample it, and that fosters reproducibility. Along the way, we discourage researchers from using extrinsic attributes of projects such as stars, that measure some unclear notion of popularity.

Tue 17 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:30 - 15:00
Technical Papers at EI 7
Chair(s): Jonathan Aldrich Carnegie Mellon University, Guido Salvaneschi University of St. Gallen
13:30
30m
Awards
ECOOP Awards
Technical Papers
Guido Salvaneschi University of St. Gallen, Jonathan Aldrich Carnegie Mellon University
14:00
15m
Talk
Mutation-based Lifted Repair of Software Product Lines
Technical Papers
Aleksandar S. Dimovski Mother Teresa University, Skopje
14:15
15m
Talk
Refinements for Multiparty Message-Passing Protocols: Specification-agnostic theory and implementation
Technical Papers
Martin Vassor Université de Lorraine; CNRS; Inria; LORIA, Nobuko Yoshida University of Oxford
14:30
15m
Talk
CtChecker: a Precise, Sound and Efficient Static Analysis for Constant-Time Programming
Technical Papers
Quan Zhou Penn State University, Dang Sixuan Duke University, Danfeng Zhang Duke University
14:45
15m
Talk
The Fault in our Stars: Designing Reproducible Large-scale Code Analysis Experiments
Technical Papers
Petr Maj Czech Technical University, Stefanie Muroya Lei Institute of Science and Technology in Austria, Konrad Siek Czech Technical University in Prague, Luca Di Grazia University of Stuttgart, Jan Vitek Northeastern University
Hide past events

Information for Participants
Tue 17 Sep 2024 13:30 - 15:00 at EI 7 - Chair(s): Jonathan Aldrich, Guido Salvaneschi
Info for room EI 7:

Map: https://tuw-maps.tuwien.ac.at/?q=CDEG13

Room tech: https://raumkatalog.tiss.tuwien.ac.at/room/15417