会议信息
ISSTA 2024: International Symposium on Software Testing and Analysis
https://conf.researchr.org/home/issta-2024截稿日期: |
2024-04-12 |
通知日期: |
2024-07-03 |
会议日期: |
2024-09-16 |
会议地点: |
Vienna, Austria |
届数: |
33 |
CCF: a CORE: a QUALIS: a2 浏览: 79140 关注: 96 参加: 11
征稿
ISSTA invites three kinds of submissions. The majority of submissions is expected to be “Research Papers”, but submissions that best fit the description of “Experience Papers” or “Replicability Studies” should be submitted as such. Research Papers Authors are invited to submit research papers describing original contributions in testing or analysis of computer software. Papers describing original theoretical or empirical research, new techniques, methods for emerging systems, in-depth case studies, infrastructures of testing and analysis, or tools are welcome. Experience Papers Authors are invited to submit experience papers describing a significant experience in applying software testing and analysis methods or tools and should carefully identify and discuss important lessons learned so that other researchers and/or practitioners can benefit from the experience. Of special interest are experience papers that report on industrial applications of software testing and analysis methods or tools. Replicability Studies ISSTA would like to encourage researchers to replicate results from previous papers. A replicability study must go beyond simply re-implementing an algorithm and/or re-running the artifacts provided by the original paper. It should at the very least apply the approach to new, significantly broadened inputs. Particularly, replicability studies are encouraged to target techniques that previously were evaluated only on proprietary subject programs or inputs. A replicability study should clearly report on results that the authors were able to replicate as well as on aspects of the work that were not replicable. In the latter case, authors are encouraged to make an effort to communicate or collaborate with the original paper’s authors to determine the cause for any observed discrepancies and, if possible, address them (e.g., through minor implementation changes). We explicitly encourage authors to not focus on a single paper/artifact only, but instead to perform a comparative experiment of multiple related approaches. In particular, replicability studies should follow the ACM guidelines on replicability (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. This means that it is also insufficient to focus on reproducibility (i.e., different team, same experimental setup) alone. Replicability Studies will be evaluated according to the following standards: Depth and breadth of experiments Clarity of writing Appropriateness of conclusions Amount of useful, actionable insights Availability of artifacts We expect replicability studies to clearly point out the artifacts the study is built on, and to submit those artifacts to artifact evaluation (see below). Artifacts evaluated positively will be eligible to obtain the prestigious Results Reproduced badge. Two Submission Deadlines and Major Revisions ISSTA 2024 features two submission deadlines. The instructions in this call apply to both deadlines. You can choose to submit at either deadline. Only papers submitted to the first deadline may receive a chance to submit a major revision of the initial submission to the second deadline. Papers submitted to the second deadline will be either accepted or rejected, i.e., there is no option for a major revision. Papers that are rejected during the first round may not be resubmitted to the second round. Authors who try to bypass this rule (e.g., by changing the paper title without significantly changing paper content, or by making small changes to the paper content) will have their papers desk-rejected without further consideration. Papers rejected from the first or second submission round can, of course, be submitted to ISSTA 2025 without any restrictions. Submission Guidelines Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for ISSTA. Authors are required to adhere to the ACM Policy and Procedures on Plagiarism and the ACM Policy on Prior Publication and Simultaneous Submissions. Research Papers, Experience Papers, and Replicability Studies should be at most 10 pages in length, with at most 2 additional pages for references and no appendices. Experience papers and replicability studies should clearly specify their category in the paper title upon submission, e.g., “XXX (Experience Paper)”. All authors should use the official “ACM Master article template”, which can be obtained from the ACM Proceedings Template pages. Latex users should use the “sigconf” option, as well as the “review” (to produce line numbers for easy reference by the reviewers) and “anonymous” (omitting author names) options. To that end, the following Latex code can be placed at the start of the Latex document: \documentclass[sigconf,review, anonymous]{acmart} \acmConference[ISSTA 2024]{ACM SIGSOFT International Symposium on Software Testing and Analysis}{16-20 September, 2024}{Vienna, Austria} Submit your papers via the HotCRP ISSTA 2024 submission website. Each submission will be reviewed by at least three members of the program committee. Authors will have an opportunity to respond to reviews during a rebuttal period. Submissions will be evaluated on the basis of originality, importance of contribution, soundness, evaluation, quality of presentation, appropriate comparison to related work, and verifiability/transparency of the work. Some papers may have more than three reviews, as the PC chair may solicit additional reviews based on factors such as reviewer expertise and strong disagreement between reviewers. The authors will have a chance to read the additional reviews and respond to them during the additional short response period. The program committee as a whole will make final decisions about which submissions to accept for presentation at the conference. Double-blind Reviewing ISSTA 2024 will conduct double-blind reviewing. Submissions should not reveal the identity of the authors in any way. Authors should leave out author names and affiliations from the body of their submission. They should also ensure that any citations to related work by themselves are written in third person, that is, “the prior work of XYZ” as opposed to “our prior work”. Authors with further questions on double-blind reviewing are encouraged to contact the Program Chair by email. Open Science Policy and “Data Availability” Section ISSTA has adopted an open science policy. Openness in science is key to fostering scientific progress via transparency, reproducibility, and replicability. The steering principle is that all research results should be accessible to the public, if possible, and that empirical studies should be reproducible. In particular, we actively support the adoption of open data and open source principles and encourage all contributing authors to disclose (anonymized and curated) data to increase reproducibility and replicability. Upon submission, authors are asked to make their code, data, etc. available to the program committee (via upload of anonymized supplemental material or a link to an anonymized private or public repository) or to comment on why this is not possible or desirable. At least one of the reviewers will check the provided data. While sharing the data is not mandatory for submission or acceptance, it will inform the program committee’s decision. Furthermore, we ask authors to provide a supporting statement on the data availability (or lack thereof) in their submitted papers in a section named “Data Availability” after the Conclusion section. Publication Date The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work.
最后更新 Dou Sun 在 2023-12-13
录取率
时间 | 提交数 | 录取数 | 录取率(%) |
---|---|---|---|
2014 | 128 | 36 | 28.1% |
2013 | 124 | 32 | 25.8% |
2012 | 108 | 31 | 28.7% |
2011 | 121 | 35 | 28.9% |
2010 | 105 | 24 | 22.9% |
2009 | 93 | 25 | 26.9% |
2008 | 100 | 35 | 35% |
2007 | 103 | 22 | 21.4% |
2006 | 84 | 22 | 26.2% |
2004 | 93 | 28 | 30.1% |
2002 | 97 | 26 | 26.8% |
2000 | 73 | 21 | 28.8% |
1998 | 47 | 16 | 34% |
1996 | 69 | 24 | 34.8% |
最佳论文
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相关期刊
CCF | 全称 | 影响因子 | 出版商 | ISSN |
---|---|---|---|---|
b | Software Testing, Verification and Reliability | 0.762 | John Wiley & Sons, Ltd | 1099-1689 |
International journal of Software Engineering & Applications | AIRCC | 0976-2221 | ||
a | IEEE Transactions on Software Engineering | 4.778 | IEEE | 0098-5589 |
c | Software Quality Journal | 1.642 | Springer | 0963-9314 |
a | ACM Transactions on Software Engineering and Methodology | 2.057 | ACM | 1049-331x |
b | Software & Systems Modeling | 1.910 | Springer | 1619-1366 |
Journal of Computer Networks and Communications | Hindawi | 2090-7141 | ||
Statistical Analysis and Data Mining | John Wiley & Sons, Ltd | 1932-1872 | ||
Journal of Computational Physics | 3.553 | Elsevier | 0021-9991 | |
Social Network Analysis and Mining | Springer | 1869-5450 |
全称 | 影响因子 | 出版商 |
---|---|---|
Software Testing, Verification and Reliability | 0.762 | John Wiley & Sons, Ltd |
International journal of Software Engineering & Applications | AIRCC | |
IEEE Transactions on Software Engineering | 4.778 | IEEE |
Software Quality Journal | 1.642 | Springer |
ACM Transactions on Software Engineering and Methodology | 2.057 | ACM |
Software & Systems Modeling | 1.910 | Springer |
Journal of Computer Networks and Communications | Hindawi | |
Statistical Analysis and Data Mining | John Wiley & Sons, Ltd | |
Journal of Computational Physics | 3.553 | Elsevier |
Social Network Analysis and Mining | Springer |
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