Conference Information

SAS 2026: International Static Analysis Symposium

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Submission Date:
2026-05-01
Notification Date:
2026-06-26
Conference Date:
2026-10-03
Location:
Oakland, California, USA
Years:
33
CCF: B   ICORE: B   QUALIS: A2   Viewed: 35030   Tracked: 31   Attend: 0

Conference Partner Index (CP-I)

81.5 / 100
Ranked #178 of 5,684 conferences · Top 4%
Academic recognition (35%)
92
Submission selectivity (20%)
74
Editions held (20%)
95
Community attention (10%)
58
Public record completeness (15%)
65

Inputs used: Listed as CCF B, ICORE B, QUALIS A2 · Acceptance rate: 33.6% (mean of 5 editions on file) · Editions on record: 33 · Researchers following it here: 31 · Researchers who opened this page in the past 24 months: 25

Missing from the public record: Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-24

Call For Papers

SAS 2026 (International Static Analysis Symposium) is a CCF B / ICORE B / QUALIS A2 conference held in Oakland, California, USA on 2026-10-03. The paper submission deadline is 2026-05-01. Acceptance notifications are sent on 2026-06-26.

Static Analysis is widely recognized as a fundamental tool for program verification, bug detection, compiler optimization, program understanding, and software maintenance. The series of Static Analysis Symposia has served for over 30 years as the primary venue for the presentation of theoretical, practical, and application advances in the area. Topics The technical program for SAS 2026 will consist of invited lectures and presentations of refereed papers. Contributions are welcomed on all aspects of program analysis, including, but not limited to: Abstract interpretation Automated deduction Data flow analysis Debugging techniques Deductive methods Emerging applications Model-checking Data science Program optimizations and transformations Program synthesis Program verification Machine learning and verification Security analysis Tool environments and architectures Theoretical frameworks Type checking Distributed or networked systems
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 35.9% over 12 years (1995–2007).

YearSubmittedAcceptedAccepted(%)
2007852630.6%
2005662233.3%
2004632336.5%
2003822530.5%
2002863237.2%
2001622133.9%
2000522038.5%
1999421842.9%
1998482041.7%
1997612337.7%
1996792227.8%
1995552240%

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