Automotive software engineering: A systematic mapping study

Citation data:

Journal of Systems and Software, ISSN: 0164-1212, Vol: 128, Page: 25-55

Publication Year:
2017
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DOI:
10.1016/j.jss.2017.03.005
Author(s):
Alireza Haghighatkhah, Ahmad Banijamali, Olli-Pekka Pakanen, Markku Oivo, Pasi Kuvaja
Publisher(s):
Elsevier BV
Tags:
Computer Science
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article description
The automotive industry is going through a fundamental change by moving from a mechanical to a software-intensive industry in which most innovation and competition rely on software engineering competence. Over the last few decades, the importance of software engineering in the automotive industry has increased significantly and has attracted much attention from both scholars and practitioners. A large body-of-knowledge on automotive software engineering has accumulated in several scientific publications, yet there is no systematic analysis of that knowledge. This systematic mapping study aims to classify and analyze the literature related to automotive software engineering in order to provide a structured body-of-knowledge, identify well-established topics and potential research gaps. The review includes 679 articles from multiple research sub-area, published between 1990 and 2015. The primary studies were analyzed and classified with respect to five different dimensions. Furthermore, potential research gaps and recommendations for future research are presented. Three areas, namely system/software architecture and design, qualification testing, and reuse were the most frequently addressed topics in the literature. There were fewer comparative and validation studies, and the literature lacks practitioner-oriented guidelines. Overall, research activity on automotive software engineering seems to have high industrial relevance but is relatively lower in its scientific rigor.

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