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· 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) |