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ICTSS 2025: International Conference on Testing Software and Systems

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ICTSS
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截稿日期:
2025-06-16 Extended
通知日期:
2025-07-14
会议日期:
2025-09-17
会议地点:
Limassol, Cyprus
届数:
37
ICORE: C   QUALIS: B1   浏览: 24329   关注: 0   参加: 0

会伴指数 (CP-I)

70.6 / 100
全站第 326 名 / 共 5,682 个会议 · 前 6%

软件工程 第 43 / 247

学术认可 (35%)
78
投稿选择性 (20%)
66
会议传承 (20%)
98
社区关注 (10%)
8
资料公开度 (15%)
65

用到的输入: 收录等级：ICORE C, QUALIS B1 · 录用率：40.4%（有记录的 5 届的均值） · 有据可查的届次：37 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-20

征稿

ICTSS 2025 (International Conference on Testing Software and Systems) is a ICORE C / QUALIS B1 conference held in Limassol, Cyprus on 2025-09-17. The paper submission deadline is 2025-06-16 (extended). Acceptance notifications are sent on 2025-07-14.

IFIP-ICTSS is a well-established conference where researchers, developers, testers, and users from industry get together to present and discuss the most recent innovations, experiences and open challenges related to testing software and systems and measuring software quality. Topics of interest include, but are not limited to: Aspects of testing: test derivation, test selection, test generation, test coverage, test concretization, test implementation and execution, test result analysis, test oracle, verdict computation, test management, active testing and passive testing, monitoring and runtime verification. Testing new technologies: this year we encourage submissions focused on testing Large Language Models (LLMs), audit machine learning systems (especially for applications to health) and Quantum systems (programs, computers, and simulators). Diversity on testing: diverse generation, selecting diverse test suites, foundations of testing and diversity, applications of entropy and Kolmogorov complexity on test suite diversity. Theoretical approaches: formalisms (such as automata, state machines, process algebra, logics, Markov-chains…), testing frameworks, results for compositionality, refinement, soundness and completeness, addressing complex systems, heterogeneous or hybrid systems. Modelling languages (such as UML, MATLAB, Simulink, Modelica…) and associated tooling for model-based testing: test generation from models, model-based oracles. Scalability, traceability, quantification issues. Automated support of any parts of the testing activities, testing processes, test-driven development, sound metrics and measurements. Testing of quality aspects: Functional, interoperability, unit, integration, performance, load, conformance, non-regression, reliability, robustness. Security Testing: methodologies and techniques for continuous security assessment, security monitoring, security review, penetration testing, verification of certification compliance; automation of security testing processes. Cross domains and combination of techniques: using other techniques such as proof, model-checking, symbolic execution, abstract interpretation, static analysis, simulation, model learning, machine learning, expert systems, neural networks, genetic algorithms… to improve quality and reduce the effort in testing processes. Application aspects and case studies: Communicating systems such as cyberphysical systems, systems of systems, embedded systems, web services systems, smart grids, cloud computing systems, business information systems, real-time systems, distributed and concurrent systems. Case studies and industrial applications involving qualified empirical evaluations.
由 Dou Sun 最后更新于

录用率

平均录用率: 45.5% 9 年间 (2000–2009).

年份提交数录用数录用率(%)
2009371335.1%
2008421842.9%
2007802430%
2006482347.9%
2005522446.2%
2004392256.4%
2003532445.3%
2002542648.1%
2000331957.6%

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CCF全称影响因子出版商ISSN
Journal of Electronic Testing1.3Springer0923-8174
Software Testing Verification and Reliability1.2Wiley0960-0833
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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