Conference Information
ESEM 2019: International Symposium on Empirical Software Engineering and Measurement
http://eseiw2019.com/esem/
Submission Date:
2019-04-18
Notification Date:
2019-06-06
Conference Date:
2019-09-19
Location:
Porto de Galinhas, Brazil
Years:
13
CCF: b   CORE: a   QUALIS: a2   Viewed: 11600   Tracked: 35   Attend: 4

Conference Location
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Call For Papers
The ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) is the premier conference for presenting research results related to empirical software engineering. ESEM provides a stimulating forum where researchers and practitioners can present and discuss recent research results on a wide range of topics, in addition to exchanging ideas, experiences and challenging problems. The 13th edition of ESEM will be held in Porto de Galinhas, Brazil, from September 19th to 20th, 2019 as part of the Empirical Software Engineering International Week (Sept., 16th to 20th, 2019) with several co-located events:

• Annual International Software Engineering Network (ISERN) meeting
• International Doctoral Symposium on Empirical Software Engineering (IDoESE)
• International Advanced School on Empirical Software Engineering (IASESE)
 
List of Topics

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.
Last updated by Dou Sun in 2018-12-23
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