Technology transfer and innovation diffusion are key success factors for an enterprise. The shift to a new software technology involves, on one hand, inevitable changes to ingrained and familiar processes and, on the other, requires training, changes in practices and commitment on behalf of technical staff and management. Nevertheless, industry is often reluctant to innovation due to the changes it determines. The process of innovation diffusion is easier if the new technology is supported by empirical evidence. In this sense our conjecture is that Empirical Software Engineering (ESE) serves as means for validating and transferring a new technology within production processes. In this paper, the authors report their experience of a method, Multiview Framework, defined in the SERLAB research laboratory as support for designing and managing a goal oriented measurement program that has been validated through various empirical studies before being transferred to an Italian SME. Our discussion points out the important role of empirical evidence for obtaining management commitment and buy-in on behalf of technical staff, and for making technological transfer possible.
The Role of Empirical Evidence for Transferring a New Technology to Industry
BALDASSARRE, MARIA TERESA;CAIVANO, DANILO;VISAGGIO, Giuseppe
2009-01-01
Abstract
Technology transfer and innovation diffusion are key success factors for an enterprise. The shift to a new software technology involves, on one hand, inevitable changes to ingrained and familiar processes and, on the other, requires training, changes in practices and commitment on behalf of technical staff and management. Nevertheless, industry is often reluctant to innovation due to the changes it determines. The process of innovation diffusion is easier if the new technology is supported by empirical evidence. In this sense our conjecture is that Empirical Software Engineering (ESE) serves as means for validating and transferring a new technology within production processes. In this paper, the authors report their experience of a method, Multiview Framework, defined in the SERLAB research laboratory as support for designing and managing a goal oriented measurement program that has been validated through various empirical studies before being transferred to an Italian SME. Our discussion points out the important role of empirical evidence for obtaining management commitment and buy-in on behalf of technical staff, and for making technological transfer possible.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
