Conference Information

ISSTA 2027: International Symposium on Software Testing and Analysis

Submission Date:
2027-01-08 Due in 57 days
Notification Date:
2027-06-17
Conference Date:
2027-09-07
Location:
Singapore
Years:
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CCF: A   ICORE: A   QUALIS: A2   Viewed: 2437637   Tracked: 108   Attend: 14
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ISSTA
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Conference Partner Index (CP-I)

92.8 / 100
Ranked #43 of 5,771 conferences · Top 1%

#7 of 249 in Software Engineering

Academic recognition (35%)
100
Submission selectivity (20%)
82
Editions held (20%)
97
Community attention (10%)
70
Public record completeness (15%)
100

Inputs used: Listed as CCF A, ICORE A, QUALIS A2 · Acceptance rate: 26.9% (mean of 5 editions on file) · Editions on record: 36 · Researchers following it here: 108 · Researchers who opened this page in the past 24 months: 25

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 1.2 · Computed 2026-11-11

Researchers at these institutions track this conference

Beihang University 7
Peking University 6
Institute of Information Engineering, Chinese Academy of Sciences 5
Institute of Software, Chinese Academy of Sciences 5
Tsinghua University 5
Wuhan University 4
Xi'an Jiaotong University 3

Based on the institution researchers enter on their own profiles. We do not verify it.

Call For Papers

ISSTA 2027 (International Symposium on Software Testing and Analysis) is a CCF A / ICORE A / QUALIS A2 conference held in Singapore on 2027-09-07. The paper submission deadline is 2027-01-08. Acceptance notifications are sent on 2027-06-17.

Research Areas ISSTA welcomes submissions addressing topics across the full spectrum of software analysis. Topics of interest include the following and are grouped into the following eight research areas. Please note that these topics are by no means exhaustive. Each submission will need to indicate one primary and optionally a secondary area. Program chairs will ultimately assign a paper to an area chair (and at least three reviewers), considering the authors’ selection, the paper’s content, and other factors such as (if applicable) possible conflicts of interest. AI for Analysis and Testing Agentic or LLM-based specification inference Agentic or LLM-based code generation Agentic or LLM-based software testing Agentic of LLM-based program analysis Agentic or LLM-based program repair Analysis and Testing for AI Testing and analysis of agents or agentic systems Testing and analysis of ML-model/software hybrid systems Testing and analysis of ML-components and libraries Fairness, safety, trustworthiness Software Test Generation Regression, mutation, and model-based testing System, unit, and integration testing Black-, grey-, and white-box fuzzing Search-based software testing Symbolic and concolic execution Software Debugging and Repair Fault localization and debugging Search-based program repair Constraint-based program repair Reverse engineering Program comprehension Specification inference Software Verification and Analysis Techniques Static, dynamic, and empirical program analysis Program verification, runtime verification, and model checking Refactoring, transformation, and reduction Testing and analysis in CI/CD or deployment Testing and analysis of evolving systems Mutation testing and analysis Ecosystem-scale analysis Non-functional properties (dependability, safety, reliability, and performance) Analysis and Testing for Security Binary analysis, lifting, and instrumentation Vulnerability detection (e.g., sanitizers) Side channels and data leakage Supply chain analysis Malware analysis Obfuscation Domain-specific Analysis and Testing Testing and analysis of blockchain systems or smart contracts Testing and analysis of concurrent or distributed systems Testing and analysis of cyber physical or autonomous systems Testing and analysis of database or operating systems Testing and analysis of numerical and scientific applications Testing and analysis of testing or analysis tools Testing and analysis of web, mobile, or quantum applications Empirical and User Studies of Testing and Analysis Processes Software engineering processes (e.g., agile, DevOps) Green and sustainable technologies Ethics and values Software economics Systematic code review and inspection Program comprehension and visualization
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Acceptance Ratio

Average acceptance rate: 28.5% over 14 years (1996–2014).

YearSubmittedAcceptedAccepted(%)
20141283628.1%
20131243225.8%
20121083128.7%
20111213528.9%
20101052422.9%
2009932526.9%
20081003535%
20071032221.4%
2006842226.2%
2004932830.1%
2002972626.8%
2000732128.8%
1998471634%
1996692434.8%

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