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B-ESEM 2018 : Empirical Software Engineering and MeasurementConference Series : Empirical Software Engineering and Measurement | |||||||||||||||||
Link: http://eseiw2018.wixsite.com/esem2018/call-for-papers | |||||||||||||||||
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Call For Papers | |||||||||||||||||
The ESEM full research paper track features submissions that describe original, unpublished work, which is not under parallel submission elsewhere. Papers are limited to 10 pages and must be submitted through via EasyChair by selecting the track "Full Papers".
Relevant Topics Topics include, but are not restricted to, the following: 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 Secondary and tertiary studies including Systematic literature reviews that include a strong synthesis part (not just mapping studies summarising results) Meta-analysis, qualitative and quantitative synthesis of studies Replication of empirical studies and families of studies Modelling, measuring, and assessing product and/or process quality Development and evaluation of empirical prediction systems or software estimation models Mining software engineering repositories Simulation-based studies in software engineering Empirically-based decision making Evaluation and comparison of techniques and models Assessing the benefits/costs associated with using certain development technologies Industrial experience, software project experience, and knowledge management Software technology transfer to industry Infrastructures and novel techniques/tools for supporting any phase of empirical studies We explicitly encourage the submission of novel work and 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). We further explicitly encourage the submission of replication studies as well as empirical studies with negative results (i.e., studies that did not deliver the expected results). |
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