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ISSRE 2026: International Symposium on Software Reliability Engineering

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회원가입 로그인
투고 마감일:
2026-04-10 마감됨
통보일:
2026-07-08
개최일:
2026-10-20
개최지:
Limassol, Cyprus
개최 횟수:
37
CCF: B   ICORE: A   QUALIS: A2   조회: 73202   팔로우: 80   참가: 15
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마감 카운트다운 배지 삽입
ISSRE
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회반 지수 (CP-I)

84.8 / 100
전체 5,749개 중 138위 · 상위 3%

소프트웨어 공학 분야 247개 중 18위

학술적 인정 (35%)
92
투고 선별성 (20%)
81
개최 횟수 (20%)
98
커뮤니티 관심도 (10%)
70
공개 자료 충실도 (15%)
65

사용한 입력: 수록 등급: CCF B, ICORE A, QUALIS A2 · 게재율: 27.6%(기록이 있는 5개 회차의 평균) · 확인되는 개최 횟수: 37 · 회반에서 팔로우 중인 연구자: 80명 · 지난 24개월 동안 이 페이지를 연 연구자: 38명

공개 자료에서 빠진 항목: 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 100% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-21

논문 모집

ISSRE 2026 (International Symposium on Software Reliability Engineering) is a CCF B / ICORE A / QUALIS A2 conference held in Limassol, Cyprus on 2026-10-20. The paper submission deadline is 2026-04-10. Acceptance notifications are sent on 2026-07-08.

The International Symposium on Software Reliability Engineering (ISSRE) is the leading conference on software reliability research and practice. ISSRE focuses on techniques and tools for assessing, predicting, and improving the reliability, safety, security, and resilience of software systems. As modern software increasingly integrates AI/ML components, operates autonomously, and spans cloud-to-edge environments, ensuring reliable system behavior is more critical than ever. Topics of Interest ISSRE 2026 invites high-quality contributions that advance the theory and practice of software reliability across contemporary software-intensive systems, including systems that incorporate AI/ML components. Topics of interest include, but are not limited to: Foundations of Reliability and Dependability Principles, models, metrics, empirical methods, and theories of software reliability, resilience, robustness, and safety Systematic approaches to fault prevention, fault removal, fault tolerance, and fault forecasting in modern software systems Testing and debugging, formal methods, model checking, static/dynamic analysis, verification, and runtime assurance Reliability in AI-Driven and Autonomic Systems Reliability engineering for AI-enabled, autonomous, self-adaptive, and cyber-physical systems Assurance, testing, verification, and certification of AI/ML components, including foundation and generative models Reliability of AI-generated code: validation, verification, explainability, defect analysis, and trustworthy automation of development tasks Impact of AI on software lifecycle processes (design, testing, evolution, operations, and quality management) AI Techniques for Reliability Engineering Machine learning for defect prediction, anomaly detection, debugging assistance, fault localization, and test automation Learning-based approaches to self-healing, resilience management, predictive maintenance, and reliability optimization Reliability governance in AI-driven DevOps pipelines, including transparency, interpretability, and auditability Software Reliability in Emerging System Domains Reliability assurance for cloud, edge, IoT, 5G/6G, cyber-physical, high-performance, and network softwarization environments Dependability of open-source ecosystems, data-driven pipelines, model hubs, and AI-assisted contributions Benchmarking, stress testing, workload modeling, and measurement frameworks for large-scale and AI-based systems Trustworthiness, Security, and Responsible Software Engineering Intersections of reliability with security, privacy, fairness, transparency, and regulatory compliance Societal, ethical, and human impacts of pervasive AI-enabled software systems Responsible governance of AI-based systems, including lifecycle assurance, auditability, and risk analysis Human-Centered, Empirical, and Reproducible Reliability Research Field studies, experience reports, user studies, and human factors in reliability engineering Public datasets, benchmark suites, reproducibility packages, and replication/negative-result studies Tooling, automation, continuous reliability monitoring, observability, and operational feedback loops
최종 수정: Dou Sun ()

게재율

평균 게재율: 33% 14년간 (1996–2012).

연도투고 수게재 수게재율(%)
20121253830.4%
20111062725.5%
20101304232.3%
2009842125%
20081162925%
2007782633.3%
20061023837.3%
2005983232.7%
20041203932.5%
20032004120.5%
2002733345.2%
20011003838%
1998873944.8%
19961034139.8%

이 항목을 본 사람들이 함께 본 항목

CCFICORECP-I약칭정식 명칭투고 마감개최일
AA*97.2The Web ConferenceThe ACM Web Conference2026-10-182027-05-10
AA*96.4ACLAnnual Meeting of the Association for Computational Linguistics2027-01-042027-08-17

관련 학회

CCFICORECP-I약칭정식 명칭투고 마감개최일
BA*89.8ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*97.5IJCAIInternational Joint Conference on Artificial Intelligence2027-01-042027-08-07
B91.2ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-05-16
BA*79.8PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-06-13
BA76.7ICMEInternational Conference on Multimedia and Expo2025-12-312026-07-05
B84.4BIBMInternational Conference on Bioinformatics & Biomedicine2026-07-052026-12-01
BA*97.3ICDMInternational Conference on Data Mining2027-06-062027-11-15
BA*89.1ECCVEuropean Conference on Computer Vision2026-03-062026-09-08
BA92.9DATEDesign, Automation and Test in Europe2026-09-072027-03-22
BA*87.8KRInternational Conference on the Principles of Knowledge Representation and Reasoning2027-04-232027-09-21

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
CIEEE Transactions on Reliability5.7IEEE0018-9529
Software Testing Verification and Reliability1.2Wiley0960-0833
Microelectronics Reliability1.9Elsevier0026-2714
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050

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