ESEM 2021 : International Symposium on Empirical Software Engineering and Measurement

in Conferences   Posted on February 25, 2021 

Conference Information

Submission Deadline Saturday 08 May 2021 Proceedings indexed by :
Conference Dates Oct 11, 2021 - Oct 15, 2021
Conference Address Bari, Italy
Conference & Submission Link https://conf.researchr.org/home/esem-2021
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 2.97
#Contributing Top Scientists 28
#Papers published by Top Scientists 37
Google Scholar H5-index 21
Number of Editions: 15
Guide2Research Overall Ranking: 251
Category Rankings
Software Engineering & Programming 55
Proceedings https://ieeexplore.ieee.org/xpl/conhome/1001929/all-proceedings

Conference Call for Papers

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
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 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
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.

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