5,976 research outputs found
Automatic allocation of safety requirements to components of a software product line
Safety critical systems developed as part of a product line must still comply with safety standards. Standards use the concept of Safety Integrity Levels (SILs) to drive the assignment of system safety requirements to components of a system under design. However, for a Software Product Line (SPL), the safety requirements that need to be allocated to a component may vary in different products. Variation in design can indeed change the possible hazards incurred in each product, their causes, and can alter the safety requirements placed on individual components in different SPL products. Establishing common SILs for components of a large scale SPL by considering all possible usage scenarios, is desirable for economies of scale, but it also poses challenges to the safety engineering process. In this paper, we propose a method for automatic allocation of SILs to components of a product line. The approach is applied to a Hybrid Braking System SPL design
Data science for engineering design: State of the art and future directions
Abstract Engineering design (ED) is the process of solving technical problems within requirements and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that uses computational systems to extract knowledge from structured and unstructured data. The synergies between these two fields have a long story and throughout the past decades, ED has increasingly benefited from an integration with DS. We present a literature review at the intersection between ED and DS, identifying the tools, algorithms and data sources that show the most potential in contributing to ED, and identifying a set of challenges that future data scientists and designers should tackle, to maximize the potential of DS in supporting effective and efficient designs. A rigorous scoping review approach has been supported by Natural Language Processing techniques, in order to offer a review of research across two fuzzy-confining disciplines. The paper identifies challenges related to the two fields of research and to their interfaces. The main gaps in the literature revolve around the adaptation of computational techniques to be applied in the peculiar context of design, the identification of data sources to boost design research and a proper featurization of this data. The challenges have been classified considering their impacts on ED phases and applicability of DS methods, giving a map for future research across the fields. The scoping review shows that to fully take advantage of DS tools there must be an increase in the collaboration between design practitioners and researchers in order to open new data driven opportunities
Sustainable product service systems in small and medium enterprises (SMEs): opportunities in the leather manufacturing industry
This paper presents an approach to identify opportunities to develop sustainable Product Service Systems (PSS) involving Small and Medium Enterprises (SMEs). The purpose of the research is to build understanding of how the integration of product and service design and the use of Information and Communication Technologies (ICT) can contribute to identify opportunities to develop sustainable PSS involving SMEs. In order to develop the approach, research with 16 Colombian Manufacturing SMEs was carried out. A reference model and four generic types of PSS according to the relationships between product and service design and ICT are used to analyse the data. Finally, the possibility of extending the approach into a general framework to work with other industries is discussed
A Reference Framework for Variability Management of Software Product Lines
Variability management (VM) in software product line engineering (SPLE) is
introduced as an abstraction that enables the reuse and customization of
assets. VM is a complex task involving the identification, representation, and
instantiation of variability for specific products, as well as the evolution of
variability itself. This work presents a comparison and contrast between
existing VM approaches using qualitative meta-synthesis to determine the
underlying perspectives, metaphors, and concepts of existing methods. A common
frame of reference for the VM was proposed as the result of this analysis.
Putting metaphors in the context of the dimensions in which variability occurs
and identifying its key concepts provides a better understanding of its
management and enables several analyses and evaluation opportunities. Finally,
the proposed framework was evaluated using a qualitative study approach. The
results of the evaluation phase suggest that the organizations in practice only
focus on one dimension. The presented frame of reference will help the
organization to cover this gap in practice.Comment: 24 page
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