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EASE 2017 : International Conference on Evaluation and Assessment in Software Engineering

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Link: http://ease2017.bth.se/
 
When Jun 15, 2017 - Jun 16, 2017
Where Sweden
Abstract Registration Due Jan 22, 2017
Submission Deadline Jan 29, 2017
Notification Due Mar 12, 2017
Final Version Due Apr 26, 2017
 

Call For Papers

The International Conference on Evaluation and Assessment in Software Engineering (EASE) is one of the premier conferences to present research results related to empirical software engineering. EASE 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 21st edition of EASE will take place from the 15th to the 16th of June at the Blekinge Institute of Technology (BTH), in the city of Karlskrona, in Sweden. BTH focuses on applied research with strong industrial collaboration; it offers about 35 educational programmes in 12 departments at two campuses located in Karslrkona and Karlshamn, to around 6,600 students (part-time and full-time).

We are seeking the following types of submission:

Full papers (max. 10 pages)
Short papers (max. 4 pages)
Industry experience reports (max. 4 pages).
Submitted papers must be written in English, and must conform to the ACM Proceedings Format.

All papers must be submitted through the EasyChair submission system in PDF format.

All the accepted papers will be included in the proceedings published in the ACM International Conference Proceedings Series.

At least one author of each accepted paper must register by the camera-ready deadline.

We welcome submissions of original and unpublished research (as full, short and industry papers) in all areas of empirical software engineering, which include, but are not limited to:

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 models
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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