Mon 16 MayDisplayed time zone: Eastern Time (US & Canada) change
02:50 - 03:20 | Session 4: Understanding Development Practices and Challenges 1Early Research Achievements (ERA) / Tool Demonstration / Research / Replications and Negative Results (RENE) at ICPC room Chair(s): Bin Lin UniversitĂ della Svizzera italiana (USI) | ||
02:58 7mTalk | Revisiting the Effect of Branch Handling Strategies on Change Recommendation Replications and Negative Results (RENE) Keisuke Isemoto Tokyo Institute of Technology, Takashi Kobayashi Tokyo Institute of Technology, Shinpei Hayashi Tokyo Institute of Technology DOI Pre-print Media Attached |
20:10 - 20:50 | Session 8: Search and Reuse: Libraries & APIsResearch / Replications and Negative Results (RENE) at ICPC room Chair(s): Masud Rahman Dalhousie University | ||
20:17 7mTalk | Deep API Learning Revisited Replications and Negative Results (RENE) Pre-print Media Attached |
Tue 17 MayDisplayed time zone: Eastern Time (US & Canada) change
03:00 - 03:40 | Session 12: Search and Reuse: CodeResearch / Early Research Achievements (ERA) / Replications and Negative Results (RENE) at ICPC room Chair(s): Fuxiang Chen University of British Columbia | ||
03:18 4mTalk | The Ineffectiveness of Domain-Specific Word Embedding Models for GUI Test Reuse Replications and Negative Results (RENE) Farideh Sadat Khalili Sharif University of Technology, Ali Mohebbi USI Lugano, Valerio Terragni University of Auckland, Mauro Pezze USI Lugano; Schaffhausen Institute of Technology, Leonardo Mariani University of Milano-Bicocca, Abbas Heydarnoori Sharif University of Technology Media Attached |
11:50 - 12:20 | Session 15: Understanding Development Practices and Challenges 2Research / Replications and Negative Results (RENE) at ICPC room Chair(s): Julia Lawall Inria | ||
12:04 7mTalk | Two Approaches to Survival Analysis of Open Source Python Projects Replications and Negative Results (RENE) Derek Robinson University of Victoria, Keanelek Enns University of Victoria, Neha Koulecar University of Victoria, Manish Sihag University of Victoria Media Attached |
Accepted Papers
Title | |
---|---|
Deep API Learning Revisited Replications and Negative Results (RENE) Pre-print Media Attached | |
Revisiting the Effect of Branch Handling Strategies on Change Recommendation Replications and Negative Results (RENE) DOI Pre-print Media Attached | |
The Ineffectiveness of Domain-Specific Word Embedding Models for GUI Test Reuse Replications and Negative Results (RENE) Farideh Sadat Khalili, Ali Mohebbi, Valerio Terragni, Mauro Pezze, Leonardo Mariani, Abbas Heydarnoori Media Attached | |
Two Approaches to Survival Analysis of Open Source Python Projects Replications and Negative Results (RENE) Media Attached |
Call for Papers
The 30th edition of the International Conference on Program Comprehension (ICPC’22) 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.
-
Reproducibility studies. Inspired by ISSTA’18 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.”
-
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
- 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 2022 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 2022. 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.