학회 정보

ISSTA 2027: International Symposium on Software Testing and Analysis

투고 마감일:
2027-01-08 57일 남음
통보일:
2027-06-17
개최일:
2027-09-07
개최지:
Singapore
개최 횟수:
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CCF: A   ICORE: A   QUALIS: A2   조회: 2437636   팔로우: 108   참가: 14
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ISSTA
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회반 지수 (CP-I)

92.8 / 100
전체 5,771개 중 43위 · 상위 1%

소프트웨어 공학 분야 249개 중 7위

학술적 인정 (35%)
100
투고 선별성 (20%)
82
개최 횟수 (20%)
97
커뮤니티 관심도 (10%)
70
공개 자료 충실도 (15%)
100

사용한 입력: 수록 등급: CCF A, ICORE A, QUALIS A2 · 게재율: 26.9%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 36 · 회반에서 팔로우 중인 연구자: 108명 · 지난 24개월 동안 이 페이지를 연 연구자: 25명

신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-11-11

이 기관들의 연구자가 이 학회를 추적하고 있습니다

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

연구자가 자신의 프로필에 입력한 소속을 기준으로 하며, 별도로 확인하지 않습니다.

논문 모집

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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게재율

평균 게재율: 28.5% 14년간 (1996–2014).

연도투고 수게재 수게재율(%)
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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