M.A. Johnson

Bio: M.A. Johnson is an academic researcher. The author has contributed to research in topics: Architectural engineer & Engineering mathematics. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

From engineering to system engineering to system of systems engineering

Abstract: A discussion is given of typical paths, progressions, and perspectives concerning the evolution of an individual from being an engineer to system engineer to system of systems engineer. Presented are definitions of the disciplines; and minimal education, experience and perspectives deemed by the author as necessary to competently fill the engineering, system engineering, and system of systems engineering roles.

Product Development Time Improvement with Requirements Reuse

Abstract: Product development time estimation is important for project management tasks. This study investigates the impact of requirements reuse on product development duration for different products in a similar domain. We propose an analytical tool to estimate the minimum time to be saved given the percentage of requirements reused from earlier projects. Empirical results of industrial case studies are used as inputs to this study. Three cases from different organizations have been studied for software and system development projects, which consist of hardware and software components. The results of the case studies are compared with a study in the literature on product development time. According to the industrial empirical results, a modified product development time estimation method is proposed for software projects.

An Application-Oriented Design Method for Networked Driving Simulation

Abstract: Autonomous and cooperative vehicle systems represent a key priority in the automotive realm. Networked driving simulation can be utilized as a safe, cost-effective experimental replica of real traffic environments in order to support and accelerate the development of such systems. In networked driving simulation, different independent systems collaborate to achieve a common task: multi-driver traffic scenario simulation. Yet distinct system complexity levels are necessary to fulfill the requirements of various application scenarios, such as development of vehicle systems, analysis of driving behavior, and training of drivers. With myriad alternatives of available systems and components, developers of networked driving simulation are typically confronted with high design complexity. There are no systematic approaches to date for the design of networked driving simulation in accordance with the specific requirements of the concerned application scenarios. This paper presents a novel design method for networked driving simulation. The method consists mainly of a procedure model that is accompanied by a configuration software. The procedure model includes the necessary phases for the systematic design of application-oriented platforms for networked driving simulation. The configuration software embeds supportive decision-making processes that enable developers to apply the design method and easily create different system models. The design method was validated by generating system models and developing platforms of networked driving simulation for three different application scenarios.