The Evaluation and Assessment in Software Engineering Conference (EASE 2017)

We welcome submissions of original and unpublished research (as full, short and industry papers) in all areas of empirical software engineering, which include, but are not limited to: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