NDLI: Automatic feature selection in large-scale system-software product lines

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Automatic feature selection in large-scale system-software product lines

Content Provider	ACM Digital Library
Author	Lohmann, Daniel Heinloth, Bernhard Ruprecht, Andreas
Abstract	System software can typically be configured at compile time via a comfortable feature-based interface to tailor its functionality towards a specific use case. However, with the growing number of features, this tailoring process becomes increasingly difficult: As a prominent example, the Linux kernel in v3.14 provides nearly 14 000 configuration options to choose from. Even developers of embedded systems refrain from trying to build a minimized distinctive kernel configuration for their device – and thereby waste memory and money for unneeded functionality. In this paper, we present an approach for the automatic use-case specific tailoring of system software for special-purpose embedded systems. We evaluate the effectiveness of our approach on the example of Linux by generating tailored kernels for well-known applications of the Rasperry Pi and a Google Nexus 4 smartphone. Compared to the original configurations, our approach leads to memory savings of 15–70 percent and requires only very little manual intervention. .
Starting Page	39
Ending Page	48
Page Count	10
File Format	PDF
ISBN	9781450331616
DOI	10.1145/2658761.2658767
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Feature selection Linux Software tailoring Software product lines
Content Type	Text
Resource Type	Article

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