ICPC 2024
Sun 14 - Sat 20 April 2024 Lisbon, Portugal
co-located with ICSE 2024
Dates
Mon 15 Apr 2024
Tue 16 Apr 2024
Tracks
ICPC Keynotes
ICPC Closing
ICPC Dinner
ICPC Discussion
ICPC Early Research Achievements (ERA)
ICPC Journal First
ICPC MIP Talk
ICPC Opening
ICPC Replications and Negative Results (RENE)
ICPC Research Track
ICPC Tool Demonstration
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Mon 15 Apr

Displayed time zone: Lisbon change

11:00 - 12:30
11:40
10m
Talk
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code SummarizationICPCICPC RENE Paper
Replications and Negative Results (RENE)
Jiliang Li Vanderbilt University, Yifan Zhang Vanderbilt University, Zachary Karas Vanderbilt University, Collin McMillan University of Notre Dame, Kevin Leach Vanderbilt University, Yu Huang Vanderbilt University
Pre-print
14:00 - 15:30
15:00
10m
Talk
Understanding the Impact of Branch Edit Features for the Automatic Prediction of Merge Conflict ResolutionsICPCICPC RENE Paper
Replications and Negative Results (RENE)
Waad riadh aldndni Virginia Tech, Francisco Servant ITIS Software, University of Malaga, Na Meng Virginia Tech
16:00 - 17:30
16:40
10m
Talk
On the comprehensibility of functional decomposition: An empirical studyICPCICPC RENE Paper
Replications and Negative Results (RENE)
Ewan Tempero University of Auckland, Paul Denny The University of Auckland, James Finnie-Ansley The University of Auckland, Andrew Luxton-Reilly The University of Auckland, Diana Kirk University of Auckland, Juho Leinonen Aalto University, Asma Shakil The University of Auckland, Robert Sheehan The University of Auckland, James Tizard University of Auckland, Yu-Cheng Tu The University of Auckland, Burkhard Wünsche University of Auckland
16:50
10m
Talk
Reassessing Java Code Readability Models with a Human-Centered ApproachICPCICPC RENE Paper
Replications and Negative Results (RENE)
Agnia Sergeyuk JetBrains Research, Olga Lvova JetBrains, Sergey Titov JetBrains Reserach, Anastasiia Serova JetBrains, Farid Bagirov JetBrains Research, Evgeniia Kirillova JetBrains Research, Timofey Bryksin JetBrains Research

Tue 16 Apr

Displayed time zone: Lisbon change

11:00 - 12:30
12:00
10m
Talk
Tuning Code Smell Prediction Models: A Replication StudyICPCICPC RENE Paper
Replications and Negative Results (RENE)
Henrique Gomes Nunes Federal University of Minas Gerais (UFMG), Amanda Santana Federal University of Minas Gerais (UFMG), Eduardo Figueiredo Federal University of Minas Gerais, Brazil, Heitor Augustus Xavier Costa Federal University of Lavras

Call for Papers

The 32nd edition of the International Conference on Program Comprehension (ICPC’24) 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. The papers in this category must go beyond simply re-implementing 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.

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
  • 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 (https://icpc2024-rene.hotcrp.com) 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 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. Full registration and in-person presentation are required for papers accepted at the conference.

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