SAE Technical Paper Series 2001
DOI: 10.4271/2001-01-0025
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A Case Study in Applying a Product Line Approach for Car Periphery Supervision Systems

Abstract: Car Periphery Supervision (CPS) systems comprise a family of automotive systems that are based on sensors installed around the vehicle to monitor its environment. The measurement and evaluation of sensor data enables the realization of several kinds of higher level applications such as parking assistance or blind spot detection. Although a lot of similarity can be identified among CPS applications, these systems are traditionally built separately. Usually, each single system is built with its own electronic co… Show more

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Cited by 20 publications
(10 citation statements)
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References 10 publications
(8 reference statements)
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“…To make the car more secure, economical, clean, and comfortable, more functionality is moving from mechanical to electrical, and from electrical to software solutions. Therefore, today's automotive products are software-intensive systems that are developed with the PLA paradigm [6,9,17,29,31].…”
Section: Introductionmentioning
confidence: 99%
“…To make the car more secure, economical, clean, and comfortable, more functionality is moving from mechanical to electrical, and from electrical to software solutions. Therefore, today's automotive products are software-intensive systems that are developed with the PLA paradigm [6,9,17,29,31].…”
Section: Introductionmentioning
confidence: 99%
“…[8] [9]). Researchers have focused mainly on requirements, variability management, and architecture design for product lines.…”
Section: Related Workmentioning
confidence: 96%
“…This has led to the creation of feature interaction taxonomies of the respective domains. Examples can be seen in reports on feature interaction in smart homes [46], [57], electronic mail systems [36], SIP services [13], [24], [45], [85], web services [81]- [83], embedded systems [54], [55], policy-based systems [12], [26], [38], [67], [78], and product lines [15], [75].…”
Section: Sources Of Feature Interactions In Requirementsmentioning
confidence: 99%