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
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   CORE: c   QUALIS: b3   浏览: 39655   关注: 34   参加: 6

征稿

SCAM 2026 (International Working Conference on Source Code Analysis and Manipulation) is a CCF C / CORE 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 Submitted papers should describe original, unpublished, and significant work and must not have been previously accepted for publication nor be concurrently submitted for review in another journal, book, conference,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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相关期刊

CCF全称影响因子出版商ISSN
cKnowledge-Based Systems7.2Elsevier0950-7051
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