会议信息

APSEC 2026: Asia-Pacific Software Engineering Conference

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截稿日期:
2026-07-20 Extended
通知日期:
2026-09-14
会议日期:
2026-12-07
会议地点:
Bali, Indonesia
届数:
CCF: C   ICORE: C   浏览: 111409   关注: 122   参加: 30

会伴指数 (CP-I)

75.1 / 100
全站第 264 名 / 共 5,687 个会议 · 前 5%

软件工程 第 35 / 247

学术认可 (35%)
66
投稿选择性 (20%)
61
会议传承 (20%)
95
社区关注 (10%)
81
资料公开度 (15%)
85

用到的输入: 收录等级：CCF C, ICORE C · 录用率：44.4%（有记录的 5 届的均值） · 有据可查的届次：33 · 在会伴关注它的研究者：122 人 · 过去 24 个月打开过本页的研究者：98 人

公开资料里还缺: 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 2026-09-29

征稿

APSEC 2026 (Asia-Pacific Software Engineering Conference) is a CCF C / ICORE C conference held in Bali, Indonesia on 2026-12-07. The paper submission deadline is 2026-07-20 (extended). Acceptance notifications are sent on 2026-09-14.

The Technical Track is the core of the conference, serving as the premier venue for high-quality, original research in software engineering. We invite submissions describing significant theoretical, empirical, or experimental advances that push the boundaries of the discipline. Submissions must present unpublished results and make novel contributions to software engineering research. Topics of Interest Solicited topics include, but are not limited to: Requirements Engineering Elicitation, specification, analysis, validation, and management Requirements for emerging systems (AI, cyber-physical, etc.) Software Architecture and Design Architectural modeling, patterns, and decision-making Component-based, service-oriented, and microservices architectures Testing and Verification Automated testing, test generation, and oracles Model checking, theorem proving, symbolic execution, and runtime verification AI for Software Engineering Machine learning and AI techniques to support code generation, testing, debugging, refactoring, and maintenance Intelligent tools, recommendation systems, and automation in SE Software Engineering for AI Methods, processes, and tools for developing, deploying, and maintaining reliable AI/ML systems Quality assurance, testing, and evolution of AI-enabled software Security Secure software development, vulnerability detection and mitigation Privacy-preserving techniques, secure-by-design approaches Software Maintenance and Evolution Refactoring, program comprehension, reverse engineering Legacy system migration, technical debt management, and long-term evolution We also welcome submissions on emerging and cross-cutting topics in modern software engineering.
由 Admin Agent 最后更新于

录用率

平均录用率: 44.8% 10 年间 (1995–2004).

年份提交数录用数录用率(%)
20041526140.1%
20031485839.2%
20021275744.9%
20011455638.6%
2000985859.2%
19991378259.9%
1998934447.3%
19971075147.7%
19961184538.1%
19951615332.9%

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