会议信息

SCAM 2026: International Working Conference on Source Code Analysis and Manipulation

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截稿日期:
2026-06-11 已截稿
通知日期:
2026-07-30
会议日期:
2026-09-14
会议地点:
Benevento, Italy
届数:
26
CCF: C   ICORE: C   QUALIS: B3   浏览: 42337   关注: 34   参加: 6
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会伴指数 (CP-I)

70.3 / 100
全站第 335 名 / 共 5,759 个会议 · 前 6%

软件工程 第 46 / 248

学术认可 (35%)
66
投稿选择性 (20%)
69
会议传承 (20%)
89
社区关注 (10%)
58
资料公开度 (15%)
65

用到的输入: 收录等级：CCF C, ICORE C, QUALIS B3 · 录用率：37.3%（有记录的 5 届的均值） · 有据可查的届次：26 · 在会伴关注它的研究者：34 人 · 过去 24 个月打开过本页的研究者：23 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-22

征稿

SCAM 2026 (International Working Conference on Source Code Analysis and Manipulation) is a CCF C / ICORE C / QUALIS B3 conference held in Benevento, Italy on 2026-09-14. The paper submission deadline is 2026-06-11. Acceptance notifications are sent on 2026-07-30.

Covered Topics and Paper Formats We welcome submission of papers that describe original and significant work in the field of source code analysis and manipulation. Topics of interest include, but are not limited to: abstract interpretation bad smell detection bug location and prediction clone detection concern, concept, and feature localization and mining decompilation energy efficient source code natural language analysis of source code artifacts program comprehension program slicing program transformation and refactoring repository, revision, and change analysis security vulnerability analysis source level metrics source level optimization source-level testing and verification static and dynamic analysis SCAM explicitly solicits results from any theoretical or technological domain that can be applied to these and similar topics. Submitted papers should describe original, unpublished, and significant work and must not have been previously accepted for publication nor be concurrently submitted for review in another journal, book, conference, or workshop. Submission will be reviewed by at least three members of the program committee, judging the paper on its novelty, quality, importance, evaluation, and scientific rigor. If the paper is accepted, at least one author must register for the conference and present the paper. All authors, reviewers, and organizers are expected to uphold the IEEE Code of Conduct. Failure to do so may lead to a (desk) rejection of the paper. Papers involving AI or ML must explicitly explain how they address a source code analysis and manipulation problem. Papers not meeting this criterion may be more suitable for AI- or ML-focused venues instead, and will be (desk) rejected.
由 Dou Sun 最后更新于

录用率

平均录用率: 46.7% 9 年间 (2001–2009).

年份提交数录用数录用率(%)
2009381744.7%
2008612337.7%
2007741925.7%
2006492040.8%
2005481837.5%
2004391641%
2003432148.8%
2002231773.9%
2001302170%

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