On Hardware Variability and the Relation to Software Variability

• Main Authors: Brink, Christopher, Kamsties, Erik, Peters, Martin, Sachweh, Sabine
• Format: Conference Proceeding
• Language: English
• Subjects: Abstracts; Automotive engineering; Dependencies; Hardware; Hardware and Software Variability; Monitoring; Product Lines; Software; Temperature measurement; Temperature sensors
• ISSN: 1089-6503; 2376-9505
• DOI: 10.1109/SEAA.2014.15

In mechatronic and embedded systems, variability stretches from customer-visible features to implementation features, which manifest in software, hardware, and mechanical parts. A good example are automotive systems, which are usually implemented as product lines. There are close connections between hardware and software during the development of such product lines. For example, software usually needs to be heavily tuned towards processors characteristics or optimized for a specific memory size. The problem is that different lifecycles of hardware and software make it difficult to maintain all variability in a single model. In this paper, the notion of hardware variability is discussed. We suggest that software and hardware variability should be kept in separate models. We argue that hardware variability and software variability models should only be loosely coupled. This allows an easier exchange of hardware platforms and variants as well as a test during the configuration whether hardware and software fit to each other. To address this, we propose an approach that distinguishes between software and hardware variants by using separate variability models. Therefore, we introduce a hardware variability model, which has a strong focus on the description of hardware properties. Furthermore, we introduce a concept for modeling the dependencies between hardware and software variants to combine them during the configuration.