The computer scientist as toolsmith II
Communications of the ACM
Software engineering: theory and practice
Software engineering: theory and practice
Software technology maturation
ICSE '85 Proceedings of the 8th international conference on Software engineering
Diffusing Software-Engineering Methods
IEEE Software
Business process reengineering and workflow automation: a technology transfer experience
Journal of Systems and Software
Evidence-Based Software Engineering for Practitioners
IEEE Software
Sustainable Technology Transfer
Proceedings of the 2006 international workshop on Software technology transfer in software engineering
A Model for Technology Transfer in Practice
IEEE Software
Developing legacy system migration methods and tools for technology transfer
Software—Practice & Experience
Evaluating legacy system migration technologies through empirical studies
Information and Software Technology
Assessing IR-based traceability recovery tools through controlled experiments
Empirical Software Engineering
Software engineering technology innovation - Turning research results into industrial success
Journal of Systems and Software
Synchronous communication media in the software requirements negotiation process
CDVE'09 Proceedings of the 6th international conference on Cooperative design, visualization, and engineering
A method for evaluating rigor and industrial relevance of technology evaluations
Empirical Software Engineering
Comparing inspection methods using controlled experiments
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
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We can learn much from the business community about effective technology transfer. In particular, understanding the interests of different types of adopters can suggest to us the different kinds of evidence needed to convince someone to try an innovative technology. At the same time, the legal community offers us advice about what kinds of evidence are needed to build convincing cases that an innovation is an improvement over current practice. This article examines why and how we make technology selection decisions and also considers how evidence supporting these decisions helps or hinders the adoption of new technology.