CCF B类会议ESEM2024即将截稿(附投稿交流群)

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会议全称：International Symposium on Empirical Software Engineering and Measurement

录用率：2021年19.35%

CCF分级：软件工程/系统软件/程序设计语言B

截稿时间：2024/4/26

录用通知时间：2024/6/20

官网链接： https:// conf.researchr.org/home /esem-2024

征稿范围：

General Scope of Submissions

Submissions should not be under consideration for publication or presentation elsewhere. In addition to the specific scope of this 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

• Formal experiments and quasi-experiments

• Case studies, action research, ethnography and field studies

• Survey research

• Simulation studies

• Artifact studies

• Data mining using statistical and machine learning approaches

• Secondary and tertiary studies including

• Systematic literature reviews and rapid reviews, that include a strong synthesis part

• Meta-analyses, and qualitative, quantitative or structured syntheses of studies

• Replication of empirical studies and families of studies

Papers should be positioned in terms of research methodology and contribution in relation to established frameworks, e.g. https:// link.springer.com/artic le/10.1007/s10664-020-09858-z , https:// dl.acm.org/doi/10.1145/ 3241743 or https:// github.com/acmsigsoft/E mpiricalStandards .

Topics commonly addressed using an empirical approach include, but are not limited to:

• Evaluation and comparison of software models, tools, techniques, and practices

• Modeling, measuring, and assessing product or process quality and productivity

• Continuous software engineering

• Software verification and validation, including analysis and testing

• Engineering of software systems which include machine learning components and data dependencies

• Applications of software engineering to different types of systems and domains (e.g. IoT, Industry 4.0, Context-awareness systems, Cyber-physical systems)

• Human factors, teamwork, and behavioral aspects of software engineering