The Community for Technology Leaders
Green Image
Issue No. 01 - January/February (2010 vol. 27)
ISSN: 0740-7459
pp: 37-45
Steven Kunsman , ABB Substation Automation Products , Allentown
Samuel Fricker , University of Zurich and ABB Switzerland Ltd., Zurich
Kenneth Palm , DanaherMotion Särö AB, Göteborg
Tony Gorschek , Blekinge Institute of Technology , Ronneby
The product development environment facing most companies today requires a long-term perspective featuring the conception and development of long-term innovations. This can be hard when close quarter bottom-line results dominate. Without innovation, competitive advantages decrease over time. This is especially true for companies producing software-intensive systems. Software is becoming a large part of the competitive advantage of traditionally hardware-focused systems such as cars, robots, or power systems, where feature sets traditionally offered and controlled by hardware are transferred to software. As software's impact and influence grows, so do the possibilities for innovation and increasing the competitive advantage through software. Star Search is a lightweight innovation model based on best practices from innovation management literature as well as two industry cases. It employs face-to-face screening and idea refinement using heterogeneous audition teams. Star Search was developed in collaboration with, and subsequently piloted at, two companies. It has helped increase the long-term perspective of product development by increasing the level of new ideas that make it to product planning and development.
Technology and software product management, requirements engineering, software engineering, product and process innovation model, industry trials, empirical, technology product management, market-driven requirements engineering
Steven Kunsman, Samuel Fricker, Kenneth Palm, Tony Gorschek, "A Lightweight Innovation Process for Software-Intensive Product Development", IEEE Software, vol. 27, no. , pp. 37-45, January/February 2010, doi:10.1109/MS.2009.164
92 ms
(Ver 3.3 (11022016))