·         Replication of empirical studies in different industrial settings

·         Issues in sharing datasets

·         What happens to empirical results?

·         How to choose relevant research results?

·         Validation of suggestive investigative questions.

·         Communication between researchers and practitioners.

·         Stakeholder involvement in empirical studies.

·         Establishing relationships based on trust and relevance.

·         Dealing with threats in organizational settings.

·         Interpreting results in industrial contexts.

·         Generalizing the findings from case studies.

·         Designing and conducting a family of studies.

·         Impact of industrial settings on the design of, and on conducting, case studies, action research, studies in the field, exploratory studies, longitudinal studies, etc. For example: reconciling researchers’ needs for “clean” and complete data and information with practitioners’ situations such as missing data, privacy issues, preservation of reputation, etc.

·         Empirical results and their utility in specific industrial contexts (e.g., discovery of multiple components defects and their impact on software maintenance).

·         Understanding failures and successes: lessons learned

·         Quantitative versus qualitative approaches

·         Dealing with perceptions and biases

Download Call for Papers (pdf)