会议信息
ICSME 2025: International Conference on Software Maintenance and Evolution
https://conf.researchr.org/home/icsme-2025
截稿日期:
2025-03-06
通知日期:
2025-05-07
会议日期:
2025-09-07
会议地点:
Auckland, New Zealand
届数:
41
CCF: b   CORE: a   QUALIS: a2   浏览: 46148   关注: 63   参加: 8

征稿
The 41st IEEE International Conference on Software Maintenance and Evolution (ICSME 2025) is the premier forum for researchers and practitioners to present and discuss the most recent innovations, trends, experiences, and challenges in software maintenance and evolution. We invite high-quality submissions describing significant and unpublished results related to, but not limited to, any of the following software maintenance and evolution topics (in alphabetical order):

    Change and defect management
    Code cloning and provenance
    Concept and feature location
    Continuous integration/deployment
    Empirical studies of software maintenance and evolution
    Evolution of non-code artifacts
    Evolution and maintenance of AI-based applications
    Human factors and social aspects of software maintenance and evolution
    Large Language Models for software evolution and maintenance tasks
    Maintenance and evolution of model-based methods
    Maintenance and evolution of mobile apps
    Maintenance and evolution of service-oriented and cloud computing systems
    Maintenance and evolution processes
    Maintenance versus release process
    Mining software repositories
    Productivity of software engineers during maintenance and evolution
    Release engineering
    Reverse engineering and re-engineering
    Run-time evolution and dynamic configuration
    Software and system comprehension
    Software migration and renovation
    Software quality assessment
    Software refactoring and restructuring
    Software testing theory and practice
    Source code analysis and manipulation
    Technical Debt

ICSME welcomes innovative ideas that are timely, well-presented, and evaluated. All submissions must position themselves within the existing literature, describe the relevance of the results to specific software engineering goals, and include a clear motivation and presentation of the work. All submissions must be in English and follow the paper submission guidelines below.
最后更新 Dou Sun 在 2025-03-01
录取率
时间提交数录取数录取率(%)
20101333627.1%
20091623521.6%
20081564025.6%
20072144621.5%
20061474530.6%
20051808044.4%
20041224839.3%
20031084541.7%
20021276148%
20011616842.2%
19991004949%
1998973334%
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Foundations and Trends in Machine LearningNow Publishers Inc.
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Journal of Computational Electronics2.200Springer
Journal of Computational Neuroscience1.500Springer
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