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ESEM 2016 : Empirical Software Engineering and Measurement


Conference Series : Empirical Software Engineering and Measurement
When Sep 5, 2016 - Sep 9, 2016
Where Ciudad Real, ES
Abstract Registration Due Mar 7, 2016
Submission Deadline Mar 14, 2016
Notification Due Apr 30, 2016
Final Version Due Jun 15, 2016
Categories    empirical   software engineering

Call For Papers

The ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) is the premier conference for research results related to empirical software engineering. These include discussions of:
• empirical methods and the design and analysis of empirical studies;
• the strengths and weaknesses of software engineering technologies and methods from a strong empirical viewpoint, including quantitative, qualitative, and mixed studies;
• the systematic use of data and measurement to understand, evaluate, and model
software engineering phenomena.
We encourage the submission of both novel work and replication studies.
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 also exchanging ideas, experiences and challenging problems.
The relevant topics include, but are not restricted to, the following:
● New ideas pertaining to empirical evaluation of software engineering technologies,
methods, and tools, e.g., transferring and applying empirical methods from other
disciplines to empirical software engineering
● Infrastructures and novel techniques/tools for supporting any phase of empirical studies
● Empirical studies using qualitative, quantitative, and mixed methods
● Cross- and multi-disciplinary methods and studies
● Experiments and quasi-experiments
● Case studies, action-research, and field studies

● Survey research
● Systematic literature reviews and mapping studies
● Meta-analysis, qualitative and quantitative synthesis of studies
● Replication of empirical studies and families of studies
● Empirically-based decision making
● Evaluation and comparison of techniques and models
● Development and evaluation of empirical prediction systems or software estimation
● mining software engineering repositories
● Modeling, measuring, and assessing product and/or process quality
● Simulation-based studies in software engineering
● Assessing the benefits / costs associated with using certain development technologies
● Industrial experience, Software project experience, and knowledge management
● Software technology transfer to the industry

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