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Towards a Unified Engineering Approach for Variability and Modular Architecture Management in Automotive Systems

Goihl, Fabian; Lindebauer, Yannick ; Esebeck, Richard von; Ovtcharova, Jivka 1; Vietor, Thomas
1 Institut für Informationsmanagement im Ingenieurwesen (IMI), Karlsruher Institut für Technologie (KIT)

Abstract:

Automotive systems are experiencing a rapid increase in complexity driven by the transition towards software-defined vehicles, autonomous functionalities and increasingly interconnected E/E architectures. This transformation intensifies variability across hardware and software domains and challenges established engineering approaches. Traditional modular product development (MPD) provides structural mechanisms to manage hardware complexity, while systems and software product line engineering (SPLE) offers methods for managing software variability. However, these paradigms are typically applied in isolation and lack an integrated methodology capable of addressing cross-domain variability and architectural synchronization in automotive systems. This paper investigates how SPLE and MPD can be systematically integrated to manage variability and architectural complexity in automotive systems. Following a design-oriented research approach, industry requirements are derived from an automotive case study at an OEM. Existing SPLE and modularization approaches are analyzed against these requirements, revealing gaps in cross-domain traceability, synchronization mechanisms, and lifecycle coordination. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000196736
Veröffentlicht am 01.09.2026
Originalveröffentlichung
DOI: 10.3390/systems14080898
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationsmanagement im Ingenieurwesen (IMI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 2079-8954
KITopen-ID: 1000196736
Erschienen in Systems
Verlag MDPI
Band 14
Heft 8
Seiten 898
Bemerkung zur Veröffentlichung This article belongs to the Special Issue Model-Based Systems Engineering (MBSE) for Complex Systems.
Vorab online veröffentlicht am 27.07.2026
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