ICPC 2023
Mon 15 - Tue 16 May 2023 Melbourne, Australia
co-located with ICSE 2023
Dates
Mon 15 May 2023
Tue 16 May 2023
Tracks
ICPC Keynotes
ICPC Closing
ICPC Discussion
ICPC Early Research Achievements (ERA)
ICPC Journal First
ICPC MIP Talk
ICPC Opening
ICPC Replications and Negative Results (RENE)
ICPC Research
ICPC Tool Demonstration
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Mon 15 May

Displayed time zone: Hobart change

11:00 - 12:30
Keynote / Documentation and Stack OverflowTool Demonstration / Research / ICPC Keynotes / Replications and Negative Results (RENE) / Discussion at Meeting Room 106
Chair(s): Bonita Sharif University of Nebraska-Lincoln, USA, Raula Gaikovina Kula Nara Institute of Science and Technology, Chanchal K. Roy University of Saskatchewan
12:04
9m
Full-paper
Performance Prediction From Source Code Is Task and Domain Specific
Replications and Negative Results (RENE)
Markus Böck TU Wien, Sarra Habchi Ubisoft, Mathieu Nayrolles Ubisoft Montreal, Jürgen Cito TU Wien
15:45 - 17:15
Code Summarization and VisualizationReplications and Negative Results (RENE) / Discussion / Research at Meeting Room 106
Chair(s): Banani Roy University of Saskatchewan, Akhila Sri Manasa Venigalla IIT Tirupati
16:12
9m
Full-paper
Naturalness in Source Code Summarization. How Significant is it?
Replications and Negative Results (RENE)
Claudio Ferretti University of Milano-Bicocca, Martina Saletta University of Milano-Bicocca

Tue 16 May

Displayed time zone: Hobart change

13:45 - 15:15
Programming Languages, Types, and ComplexityDiscussion / Research / Replications and Negative Results (RENE) / Journal First at Meeting Room 106
Chair(s): Vittoria Nardone
14:12
5m
Short-paper
Revisiting Deep Learning for Variable Type Recovery
Replications and Negative Results (RENE)
Kevin Cao Vanderbilt University, Kevin Leach Vanderbilt University
Pre-print
14:35
9m
Full-paper
Revisiting Lightweight Compiler Provenance Recovery on ARM Binaries
Replications and Negative Results (RENE)
Jason Kim Georgia Tech, Daniel Genkin Georgia Tech, Kevin Leach Vanderbilt University
Pre-print

Call for Papers

The 31st edition of the International Conference on Program Comprehension (ICPC’23) would like to encourage researchers to (1) reproduce results from previous papers and (2) publish studies with important and relevant negative or null results (results which fail to show an effect, yet demonstrate the research paths that did not pay off).

We would also like to encourage the publication of the negative results or reproducible aspects of previously published work. For example, authors of a published paper reporting a working solution for a given problem can document in a “negative results paper” other (failed) attempts they made before defining the working solution they published.

  1. Reproducibility studies. Inspired by ISSTA’18 Reproducibility studies, the papers in this category must go beyond simply reimplementing an algorithm and/or re-running the artifacts provided by the original paper. Such submissions should at least apply the approach on new data sets (open-source or proprietary). A reproducibility study should clearly report on results that the authors were able to reproduce as well as on the aspects of the work that were irreproducible. We encourage reproducibility studies to follow the ACM guidelines on reproducibility (different team, different experimental setup): “The measurement can be obtained with stated precision by a different team, a different measuring system, in a different location on multiple trials. For computational experiments, this means that an independent group can obtain the same result using artifacts which they develop completely independently.”
  2. Negative results papers. We seek papers that report on negative results. We seek negative results for all types of software engineering research in any empirical area (qualitative, quantitative, case study, experiment, etc.). For example, did your controlled experiment not show an improvement over the baseline? Even if negative, results obtained are still valuable when they are either not obvious or disprove widely accepted wisdom. As Walter Tichy writes, “Negative results, if trustworthy, are extremely important for narrowing down the search space. They eliminate useless hypotheses and thus reorient and speed up the search for better approaches.”

Evaluation Criteria

Both Reproducibility Studies and Negative Results submissions will be evaluated according to the following standards:

  • Depth and breadth of the empirical studies
  • Clarity of writing
  • Appropriateness of conclusions
  • Amount of useful, actionable insights
  • Amount of useful, actionable insights
  • Availability of artifacts
  • Underlying methodological rigor. A negative result due primarily to misaligned expectations or due to lack of statistical power (small samples) is not a good submission. The negative result should be a result of a lack of effect, not lack of methodological rigor.
Most importantly, we expect reproducibility studies to clearly point out the artifacts the study is built upon, and to provide the links to all the artifacts in the submission (the only exception will be given to those papers that reproduce the results on proprietary datasets that can not be publicly released).

Submission Instructions

Submissions must be original, in the sense that the findings and writing have not been previously published or under consideration elsewhere. However, as either reproducibility studies or negative results, some overlap with previous work is expected. Please make that clear in the paper.

Publication format should follow the ICPC guidelines. Submissions to the RENE Track can be made via the ICPC RENE track submission site by the submission deadline.

Length: There are two formats. (1) New reproducibility studies and new descriptions of negative results will have a length of 10 pages, plus 2 pages which may only contain references. (2) Appendices to conference submissions or previous work by the authors can be described in 4 pages, plus 1 page which may only contain references (e.g., as previously said, authors of a published paper can document negative results they got while working on it, such as solutions that did not work).

Important note: the RENE track of ICPC 2023 does not follow a double-anonymous review process.

The official publication date is the date the proceedings are made available in the ACM or IEEE Digital Libraries. This date may be up to two weeks prior to the first day of ICSE 2023. The official publication date affects the deadline for any patent filings related to published work.

Purchases of additional pages in the proceedings is not allowed.

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