Requirements engineering methodologies for COTS systems

Finnegan, R.

doi:10.1109/eit.2008.4554350

Cited by 3 publications

(1 citation statement)

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“…The use of standardized or general-purpose and commercially available off-the-shelf components and devices speed up the development, operation, and maintenance of such systems [13][14][15]. The cases of system applications, particularly in mobile devices, IoT, and cloud computing applications show a considerable increase, due to their immediate availability, low-energy consumption, and low-cost [16].…”

Section: Related Workmentioning

confidence: 99%

COTS-Based Architectural Framework for Reliable Real-Time Control Applications in Manufacturing

et al. 2020

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The challenge of keeping the development and implementation of real-time control systems reliable and efficient and at the same time, low-cost and low-energy, is getting harder. This is because system designers and developers are faced with the dependability, inflexibility and often high-cost of specialized or custom-built hardware and software components. This research attempts to tackle issues such as the reliability and efficiency of real-time control systems and advance further the current state-of-the-art. For this purpose, a strong emphasis is placed on finding novel efficient solutions based on standardized and commercially available off-the-shelf hardware/software components. In this direction, this research applies credible and feasible methodologies (e.g., model-based design, component-based design, formal verification, real-time scheduling, prototyping, and validation) in an innovative enhanced way. As an important outcome, a versatile integrative design approach and architectural framework (VIDAF) is proposed, which supports the development and implementation of reliable real-time control systems and applications using commercial off-the-shelf (COTS) components. The feasibility and applicability of the proposed system’s architecture are evaluated and validated through a system application in embedded real-time control in manufacturing. The research outcomes are expected to have a positive impact on emerging areas such as the Industrial Internet of Things (IIoT).

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Section: Related Workmentioning

confidence: 99%