The problem of statistical power in MIS research
MIS Quarterly
Understanding and improving technology transfer in software engineering
Journal of Systems and Software - Special issue on invited articles on top systems and software engineering scholars
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
ISESE '03 Proceedings of the 2003 International Symposium on Empirical Software Engineering
Software Reviews: The State of the Practice
IEEE Software
Matching methodology to problem domain
Communications of the ACM - New architectures for financial services
Evidence-Based Software Engineering
Proceedings of the 26th International Conference on Software Engineering
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Categorical data analysis using the sas® system, 2nd edition
Categorical data analysis using the sas® system, 2nd edition
ACM SIGSOFT Software Engineering Notes
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Information needs for software development analytics
Proceedings of the 34th International Conference on Software Engineering
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Background: The identification of alternative technologies - which is one step of the formal decision-making process -- results in a judgment on whether a technology is considered as a candidate for the further decision-making process. A model has been proposed that aims at improving the delivery of relevant information from ESE research to software managers. Objectives: Evaluate the effectiveness of the model of software managers information needs Method: Experiment with software managers from industry who read two versions of a report on a controlled experiment, one of which contained the information as required by the information needs model. Results: Participants reading the version of the report based on the model perceived that they could judge better whether the technology is appropriate than those reading the original version of the paper. Conclusion: The information needs model provides a means for supporting the identification of alternative solutions and thus has the potential to solve the problem of making decisions.