ModelTracer: User-friendly Traceability for the Development of Mechatronic Products

Sünnetcioglu, Atakan; Brandenburg, Elisabeth; Rothenburg, Uwe; Stark, Rainer

doi:10.1016/j.protcy.2016.08.047

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Systems engineering (SE) is an acknowledged approach to support mechatronic product development and is generally associated with the V-model (Dieterle 2005;Kleiner and Kramer 2013;Mcharek et al 2019;Mhenni et al 2014;Rothful et al 2006;Sünnetcioglu et al 2016;Turki et al 2005;Zheng et al 2017). This association between SE and initially the "Vee process model" was coined by Forsberg and Mooz (1991); however, they did not address mechatronic product development.…”

Section: Systems Engineering and Related Concepts And Techniquesmentioning

confidence: 99%

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Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

et al. 2022

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The fourth industrial revolution is shaping a new industrial landscape. A variety of technologies related to software, information and communication technologies embody a ubiquitous digital and connectivity era. These technologies enable the creation of new products with the integration of connectivity, data collection and processing capacities which require combining engineering disciplines. Increasing product multidisciplinarity compels companies to adapt their product development practices. The scientific literature offers a variety of concepts and techniques to support multidisciplinary product development. This paper seeks to organize the landscape of concepts and techniques available for multidisciplinary product development. An extensive literature review was conducted, and 236 concepts and techniques were identified. Multidisciplinary products of interest deal with both software and hardware development and can be encountered through the denominations of cyber-physical systems, mechatronics and smart products and systems. An in-depth analysis led to the classification and mapping, for each product denomination, of the concepts and techniques available to support their development. The classification relies on a four-level model paired with a decision tree to thoroughly sort the variety of concepts and techniques into the approach, process, method, and tool levels. The mapping between the sorted concepts and techniques enabled the generation of graphical representations called cartographies. These cartographies serve to support companies’ transformation towards the fourth industrial revolution from the product development perspective by giving a general overview of the related literature, and guiding them in the identification of the most suitable approaches, processes, methods and tools.

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Section: Systems Engineering and Related Concepts And Techniquesmentioning

confidence: 99%

“…Section 3.1.1 discusses SE, considered as an approach according to the decision tree. However, among the various references discussed in that section, only two address SE: Sünnetcioglu et al (2016) and Turki et al (2005). These references are associated with the block in Fig.…”

Section: Exemplifying: Building the Cartography Incorporating Se And ...mentioning

confidence: 99%

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

et al. 2022

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“…Generally, a larger user base is considered to measure the usability aspects of a traceability tool. Further, the degree of automatization by reducing human effort in trace link generation, time, user interface improvements with the aid of colour codes and help-tips are used as usability metrics [57].…”

Section: Traceability Management Toolsmentioning

confidence: 99%

Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey

Meedeniya¹,

Rubasinghe²,

Perera³

2019

IJACSA

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DevOps based software process has become popular with the vision of an effective collaboration between the development and operations teams that continuously integrates the frequent changes. Traceability manages the artefact consistency during a software process. This paper explores the trace-link creation and visualization between software artefacts, existing tool support, quality aspects and the applicability in a DevOps environment. As the novelty of this study, we identify the challenges that limit the traceability considerations in DevOps and suggest research directions. Our methodology consists of concept identification, state-of-practice exploration and analytical review. Despite the existing related work, there is a lack of tool support for the traceability management between heterogeneous artefacts in software development with DevOps practices. Although many existing studies have low industrial relevance, a few proprietary traceability tools have shown a high relevance. The lack of evidence of the related applications indicates the need for a generalized traceability approach. Accordingly, we conclude that the software artefact traceability is maturing and applying collaboratively in the software process. This can be extended to explore features such as artefact change impact analysis, change propagation, continuous integration to improve software development in DevOps environments.

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The MeCUE Questionnaire (2.0): Meeting Five Basic Requirements for Lean and Standardized UX Assessment

Minge

Thüring

2018

Lecture Notes in Computer Science

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ModelTracer: User-friendly Traceability for the Development of Mechatronic Products

Cited by 5 publications

References 8 publications

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

Organizing the fragmented landscape of multidisciplinary product development: a mapping of approaches, processes, methods and tools from the scientific literature

Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey

The MeCUE Questionnaire (2.0): Meeting Five Basic Requirements for Lean and Standardized UX Assessment

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