Publikation - Einzelansicht
details for the publication
author(s) | Christian Kröher, Sascha El-Sharkawy and Klaus Schmid |
title | KernelHaven - An Open Infrastructure for Product Line Analysis |
publication type | Beitrag zu einer Tagung / Konferenz |
publisher | ACM |
booktitle | Proceedings of the 22nd International Systems and Software Product Line Conference (SPLC'18) |
volume | 2 |
year | 2018 |
pages | 5-10 |
digital object identifier (doi) | DOI: 10.1145/3236405.3236410 |
abstract |
KernelHaven is an open infrastructure for Software Product Line (SPL) analysis. It is intended both as a production-quality analysis tool set as well as a research support tool. Its design follows the principle of an experimentation workbench [13] to support researchers in systematically exploring research hypothesis. For flexibility and ease of experimentation KernelHaven components are plug-ins for extracting certain information from SPL artifacts and processing this information, e.g., to check the correctness and consistency of variability information or to apply metrics. A configuration-based setup along with automatic documentation functionality allows different experiments and supports their easy reproduction. Here, we describe KernelHaven as a product line analysis research tool and highlight its basic approach as well as its fundamental capabilities. In particular, we describe available information extraction and processing plug-ins and how to combine them. On this basis, researchers and interested professional users can rapidly conduct a first set of experiments. Further, we describe the concepts for extending KernelHaven by new plug-ins, which reduces development effort when realizing new experiments. |
Files / documents | Paper |