Measuring Product Line Architectures
PFE '01 Revised Papers from the 4th International Workshop on Software Product-Family Engineering
Feature Diagrams and Logics: There and Back Again
SPLC '07 Proceedings of the 11th International Software Product Line Conference
Efficient compilation techniques for large scale feature models
GPCE '08 Proceedings of the 7th international conference on Generative programming and component engineering
Inferring information from feature diagrams to product line economic models
Proceedings of the 13th International Software Product Line Conference
Automated analysis of feature models 20 years later: A literature review
Information Systems
Feature models, grammars, and propositional formulas
SPLC'05 Proceedings of the 9th international conference on Software Product Lines
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The embedded systems market and especially the software part of it is growing drastically in automotive industry. Today we see that the value of software or functionality that is realized using software within cars is about 35% of the value of the car itself. We have typically more than 70 embedded control units (ECUs) in a car with functionality realized and controlled by software. The standardization of communication interfaces and operating system functionality as for example realized by AUTOSAR facilitates the distributed development of software. But the needs to produce software in time and in budget remain still a main task in automotive software industry. To cope with tight project plans, process models based on product line technology promise a good chance to be successful. Nevertheless, the need to control the product development remains still one of the most important questions in this area. The work presented here gives some new insights into the definition and application of measures with special emphasis on the variability aspects used within a product line development. Several known techniques as for example atomic sets or formal variability analysis are revisited and used within the context of variability metrics. The measures are categorized and can be used within a project to control and manage the defined variability.