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ESEIW 2026: Empirical Software Engineering International Week

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截稿日期:
2026-05-11 已截稿
通知日期:
2026-06-30
会议日期:
2026-10-04
会议地点:
Munchen, Germany
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会伴指数 (CP-I)

44.0 / 100
全站第 3,318 名 / 共 5,759 个会议 · 前 58%

软件工程 第 184 / 248

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
12
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 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 25% —— 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 1.2 · 算于 2026-10-22

征稿

ESEIW 2026 (Empirical Software Engineering International Week) is an academic conference held in Munchen, Germany on 2026-10-04. The paper submission deadline is 2026-05-11. Acceptance notifications are sent on 2026-06-30.

We invite submissions to the following tracks related to the topics of interest of the conference. Technical Papers Industry Papers Emerging Results and Vision Papers Journal-First Papers Find detailed submission information on our website: http://esem2020.di.uniba.it General Scope of Submissions Work submitted must fit within the specific scope of each track, as detailed below. Submissions in all tracks should not be under consideration for publication or presentation elsewhere. In addition to the specific scope of each track, submissions may address any aspect of software engineering but must tackle the problem from an empirical perspective and using a rigorous empirical method, including: Empirical studies using qualitative, quantitative, and mixed methods Cross- and multi-disciplinary methods and studies Experiments and quasi-experiments Case studies, action research, ethnography and field studies Survey research Simulation Artifact studies Data mining, machine learning, and AI-based approaches Secondary and tertiary studies including Systematic literature reviews that include a strong synthesis part Meta-analysis, qualitative and quantitative synthesis of studies Replication of empirical studies and families of studies Topics commonly addressed using an empirical approach include, but are not limited to: Evaluation and comparison of software technologies Evaluation and comparison of software development methods, techniques, and practices Modeling, measuring, and assessing product and/or process quality Modeling, measuring, and assessing software development productivity Defect and quality prediction Software cost and size estimation Software evolution Software verification and validation, including analysis and testing Evaluation and modeling of contemporary software systems (IoT, Industry 4.0, Context-Awareness Systems, Cyber-physical, among others) Human factors, teamwork, and behavioral aspects of software engineering We welcome submissions on these meta-topics: Development, evaluation, and comparison of empirical approaches and methods Infrastructure for conducting empirical studies Techniques and tools for supporting empirical studies Empirically-based decision making We also welcome submissions that: demonstrate multi-disciplinary work, transfer and apply empirical methods from other disciplines, replication studies, and studies with negative findings.
由 Dou Sun 最后更新于

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BEmpirical Software Engineering3.6Springer1382-3256
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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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