Post-deployment data collection in software-intensive embedded products
Book chapter, 2014

Companies collect terabytes of data about their products in the field, but research shows that R&D makes little use of this data, i.e., it is an untapped resource. In this paper, we explore collection and usage of post-deployment product data. We highlight the existing limitations in post-deployment data usage and the untapped resource that post-deployment product data remains. Based on a multiple case study at three software development companies, we collected three main findings. First, post-deployment data is used as input to the next pre-development phase, but not for improvement of existing product versions. Second, post-deployment data is used for troubleshooting and support activities, but not for innovation of new features. Third, post-deployment data provides a system-level understanding of operation and performance, but does not provide insight in individual feature usage. Finally, we propose a framework in which we outline what development practices and organizational mechanisms that need to be in place for advancing the usage of post-deployment data and advance the development of software-intensive embedded products.


Helena Holmström Olsson

Malmö university

Jan Bosch

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Continuous software engineering


Subject Categories

Computer and Information Science





More information

Latest update