Details zur Publikation
@techreport {El-SharkawyYamagishi-EichlerSchmid18,
author={Sascha El-Sharkawy and Nozomi Yamagishi-Eichler and Klaus Schmid},
title={Implementation Metrics for Software Product Lines - A Systematic Literature Review},
organization={University of Hildesheim},
institution={Software Systems Engineering, Institut für Informatik, Universität Hildesheim},
number={1/2018, SSE 1/18/E},
year={2018},
pages={1-73},
url={https://sse.uni-hildesheim.de/media/fb4/informatik/AG_SSE/PDFs/publications/SPL-Metrics/TR-SPL-Metrics_V2.pdf},
note={This is a revised version of the technical report 1/2017, SSE 1/17/E from 2017},
abstract={Development of Software Product Lines (SPLs) requires additional implementation concepts to manage variability and to facilitate the derivation of individual products based on a common platform. These variability implementation concepts are not required for the development of single systems and, thus, are not considered in traditional software engineering. Metrics are well established in traditional software engineering, but are typically not applicable to SPLs as they do not address variability management. Over time, a number of specialized product line metrics have been described in literature. However, no systematic description of the characteristics of these metrics is currently available. We conducted a systematic literature review to identify variability-aware implementation metrics, designed for the needs of SPLs. We list these metrics according to the measured artifact types: variability models, code artifacts, and combined metrics measuring both artifact types. Further, we analyze to what extent these metrics were evaluated as a basis for qualitative conclusions.}
}
