Feature algebra

Feature algebra (2006)

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by P. Höfner , R. Khedri , B. Möller , Copyright P. Höfner , R. Khedri , B. Möller , Universität Augsburg , Peter Höfner , Ridha Khedri , Bernhard Möller

Venue:	In Formal Methods, volume 4085 of LNCS
Citations:	11 - 3 self

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Datum	Value	Source
TITLE	Feature algebra	INFERENCE
AUTHOR NAME	P. Höfner	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR ADDR	D-86135 Augsburg	SVM HeaderParse 0.2
AUTHOR NAME	R. Khedri	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR ADDR	D-86135 Augsburg	SVM HeaderParse 0.2
AUTHOR NAME	B. Möller	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR ADDR	D-86135 Augsburg	SVM HeaderParse 0.2
AUTHOR NAME	Copyright P. Höfner	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR NAME	R. Khedri	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR NAME	B. Möller	SVM HeaderParse 0.2
AUTHOR AFFIL	Institut für Informatik	SVM HeaderParse 0.2
AUTHOR NAME	Universität Augsburg	SVM HeaderParse 0.2
AUTHOR ADDR	D–86135 Augsburg, Germany	SVM HeaderParse 0.2
AUTHOR NAME	Peter Höfner	SVM HeaderParse 0.2
AUTHOR AFFIL	1 Institut für Informatik, Universität Augsburg	SVM HeaderParse 0.2
AUTHOR ADDR	D-86135 Augsburg, Germany	SVM HeaderParse 0.2
AUTHOR NAME	Ridha Khedri	SVM HeaderParse 0.2
AUTHOR NAME	Bernhard Möller	SVM HeaderParse 0.2
AUTHOR AFFIL	2 Department of Computing and Software, McMaster University; Canada L8S 4L7	SVM HeaderParse 0.2
AUTHOR ADDR	Hamilton, Ontario	SVM HeaderParse 0.2
ABSTRACT	Abstract. Based on experience from the hardware industry, product families have entered the software development process as well, since software developers often prefer not to build a single product but rather a family of similar products that share at least one common functionality while having well-identified variabilities. Such shared commonalities, also called features, reach from common hardware parts to software artefacts such as requirements, architectural properties, components, middleware, or code. We use idempotent semirings as the basis for a feature algebra that allows a formal treatment of the above notions as well as calculations with them. In particular models of feature algebra the elements are sets of products, i.e. product families. We extend the algebra to cover product lines, refinement, product development and product classification. Finally we briefly describe a prototype implementation of one particular model. 1	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	In Formal Methods, volume 4085 of LNCS	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	300--315	INFERENCE
VOLUME	4085	INFERENCE
TECH	Technical Report Report 2006-04	INFERENCE
CITATIONS	15 found	ParsCit 1.0