Generative Programming for Embedded Software: An Industrial Experience Report Export

@inproceedings{czarnecki02-gpce, abstract = {Physical products come in many variants, and so does the software embedded in them. The software embedded in a product variant usually has to be optimized to fit its limited memory and computing power. Generative programming is well suited for developing embedded software since it allows us to automatically produce variants of embedded software optimized for specific products. This paper reports on our experience in applying generative programming in the embedded domain. We propose an extended feature modeling notation, discuss tool support for feature modeling, describe a domain-independent system configuration editor, and comment on the applicability of static configuration in the area of embedded systems.}, author = {Czarnecki, Krzysztof and Bednasch, Thomas and Unger, Peter and Eisenecker, Ulrich}, citeulike-article-id = {2406141}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/3-540-45821-2_10}, citeulike-linkout-1 = {http://www.springerlink.com/content/u6kxe6qc0v68e0ev}, comment = {the paper present attributes in feature models}, doi = {10.1007/3-540-45821-2_10}, journal = {Proceedings of the Conference on Generative Programming and Component Engineering (GPCE)}, keywords = {fm, fm-notations}, pages = {156--172}, posted-at = {2009-10-16 11:59:07}, priority = {2}, title = {Generative Programming for Embedded Software: An Industrial Experience Report}, url = {http://dx.doi.org/10.1007/3-540-45821-2_10}, year = {2002} }

TY - CONF ID - czarnecki02-gpce L3 - citeulike-article-id:2406141 N2 - Physical products come in many variants, and so does the software embedded in them. The software embedded in a product variant usually has to be optimized to fit its limited memory and computing power. Generative programming is well suited for developing embedded software since it allows us to automatically produce variants of embedded software optimized for specific products. This paper reports on our experience in applying generative programming in the embedded domain. We propose an extended feature modeling notation, discuss tool support for feature modeling, describe a domain-independent system configuration editor, and comment on the applicability of static configuration in the area of embedded systems. JF - Proceedings of the Conference on Generative Programming and Component Engineering (GPCE) EP - 172 TI - Generative Programming for Embedded Software: An Industrial Experience Report SP - 156 KW - fm KW - fm-notations N1 - the paper present attributes in feature models AU - Czarnecki, Krzysztof AU - Bednasch, Thomas AU - Unger, Peter AU - Eisenecker, Ulrich PY - 2002/// UR - http://dx.doi.org/10.1007/3-540-45821-2_10 ER -