Using empirical methods to improve industrial technology transfer

ABSTRACT

This keynote establishes a link between existing trends in the embedded (automotive) domain and the need for significant empirical evaluations of development methods.

Software drives many innovations in cars such as new functions that increase passenger safety or convenience. A side-effect is the growing complexity of embedded systems: The number of systems and functions increases along with their internal complexity. In order to cope with this, Bosch is investing into the development of engineering methods and their evaluation. The audience will learn about:

• The role of Bosch Corporate Research as a catalyst for new technologies
• Experiences with processes and methods
• Activities in the area of empirical research and measurement

The keynote will conclude with factors that are critical for success when using empirical methods in industrial settings and will provide an outlook on how empirical research can support industrial technology transfer.

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics

General Terms:
Experimentation, Human Factors, Management

Keywords:
empirical research