2022
DOI: 10.18034/ei.v10i1.674
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Automotive Software Engineering: Real-World Necessity and Significance

Sreekanth Dekkati

Abstract: The automobile industry is undergoing a fundamental shift as it transitions from a mechanical to a software-intensive business, in which most innovation and competition depend on software engineering expertise. This shift is occurring due to the industry's shift from a mechanical to an electronic focus. Over the past few decades, the significance of software engineering in the automobile industry has grown substantially. As a result, it has garnered a great deal of interest from academics and industry professi… Show more

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Cited by 5 publications
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“…Although quantitative methods like agent-based modeling have been the dominant approach to studying CAS in other disciplines, qualitative methods are suitable for studying FEs as CASs (Holland, 2002) for several reasons. First, FE is a multifaceted and intrinsically complicated phenomenon, and the richness of qualitative data can facilitate researchers to unpack the temporally unfolding characteristics of FEs and investigate the phenomenon by teasing out the shared interpretation of the relevant stakeholders (Dekkati, 2022). Second, qualitative data are particularly effective in illustrating complex and abstract ideas and making conceptual frameworks comprehensible (Mahadasa, 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Although quantitative methods like agent-based modeling have been the dominant approach to studying CAS in other disciplines, qualitative methods are suitable for studying FEs as CASs (Holland, 2002) for several reasons. First, FE is a multifaceted and intrinsically complicated phenomenon, and the richness of qualitative data can facilitate researchers to unpack the temporally unfolding characteristics of FEs and investigate the phenomenon by teasing out the shared interpretation of the relevant stakeholders (Dekkati, 2022). Second, qualitative data are particularly effective in illustrating complex and abstract ideas and making conceptual frameworks comprehensible (Mahadasa, 2017).…”
Section: Methodsmentioning
confidence: 99%