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  4. Navigating Heterogeneous Variability: Strategies and Insights from the Industrial Technology Division of ZF Friedrichshafen AG
 
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2025
Conference Paper
Title

Navigating Heterogeneous Variability: Strategies and Insights from the Industrial Technology Division of ZF Friedrichshafen AG

Abstract
Efficient variability management is a key capability for industrial companies developing complex, configurable systems, especially those with a wide range of product lines and custom solutions. This experience report presents the approach taken by the Industrial Technology division of ZF Friedrichshafen AG to manage variability in both system and software development. The division serves a broad spectrum of markets and applications. This diversity introduces a high degree of heterogeneity at multiple levels, ranging from domain-specific engineering requirements to cross-departmental coordination challenges. Further specific challenges include reuse across different platforms and projects, tailoring solutions to diverse OEM demands, supporting long product lifecycles, and accommodating both legacy and next-generation systems. This experience report aims to contribute to the collective knowledge of the systems and software product line engineering community by offering a detailed, practice-oriented view of heterogeneous variability management. We explore how product software reuse is becoming increasingly essential and how variability management practices must evolve to support scalable reuse across both embedded software and higher-level platforms. We discuss key drivers, requirements, and approaches for heterogeneous variability management and distill a set of lessons learned to guide other organizations on their variability management journey.
Author(s)
Kiltz, Lothar
ZF Friedrichshafen AG
Becker, Martin  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Mainwork
SPLC 2025, 29th ACM International Systems and Software Product Line Conference. Proceedings. Volume A  
Conference
International Systems and Software Product Line Conference 2025  
DOI
10.1145/3744915.3748480
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • experience report

  • Product line engineering

  • software calibration

  • variability management

  • variability modeling

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