1,720,981 research outputs found
Experiences and challenges from a software ecosystem for cyber-physical systems development: An empirical study on industry-academia collaboration
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Towards Early Validation and Verification of System Behaviour with Heterogenous Models in Systems Engineering
No full textSystems Engineering (SE) is an established paradigm for developing complex systems across several domains. As systems are becoming more complex, partly due to the increase in software-related considerations, traditional methods of SE are becoming less effective and struggle to handle the development complexity of modern systems, and more recently, the shift towards model-centric development is taking over and becoming the standard practice. The early availability of models from the very start of system development has several potential benefits, such as increased traceability, clarity from model diagrams, and improved analytical capabilities due to underlying semantics. An essential and often argued benefit of using models is the increased ability to perform Validation and Verification (V&V) activities on systems described using model-based representations, particularly employed in early stages of development processes. The use of model-based approaches needs to be carefully integrated into the SE process, as a model with too little detail cannot provide an analysis of worth, however, a detailed model takes considerable effort to implement. This research investigates early V&V of system behaviour in Model-Based Systems Engineering (MBSE). Notably, the research investigates the analysis of low-fidelity system descriptions in the form of one or several semi-formal models described through standard languages, often by several different stakeholders. The research discusses how common artefacts found in the early stages of MBSE can be leveraged for system behaviour analysis and how system modelling can be promoted for SE practitioners to deploy early V&V capabilities
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Towards Early Validation and Verification of System Behaviour with Heterogenous Models in Systems Engineering
No full textSystems Engineering (SE) is an established paradigm for developing complex systems across several domains. As systems are becoming more complex, partly due to the increase in software-related considerations, traditional methods of SE are becoming less effective and struggle to handle the development complexity of modern systems, and more recently, the shift towards model-centric development is taking over and becoming the standard practice. The early availability of models from the very start of system development has several potential benefits, such as increased traceability, clarity from model diagrams, and improved analytical capabilities due to underlying semantics. An essential and often argued benefit of using models is the increased ability to perform Validation and Verification (V&V) activities on systems described using model-based representations, particularly employed in early stages of development processes. The use of model-based approaches needs to be carefully integrated into the SE process, as a model with too little detail cannot provide an analysis of worth, however, a detailed model takes considerable effort to implement. This research investigates early V&V of system behaviour in Model-Based Systems Engineering (MBSE). Notably, the research investigates the analysis of low-fidelity system descriptions in the form of one or several semi-formal models described through standard languages, often by several different stakeholders. The research discusses how common artefacts found in the early stages of MBSE can be leveraged for system behaviour analysis and how system modelling can be promoted for SE practitioners to deploy early V&V capabilities
Early Validation & Verification in Model-Based Systems Engineering
No full textSystems engineering is a discipline that assists practitioners in developing complex systems by managing and reducing risk across a systems life cycle. An essential part of systems engineering activities is the confirmation that the right system is built, and that the system is built right, commonly referred to as validation & verification. Currently, several engineering domains are seeing significant increases in their engineering complexity, due in part to technological advances and expanding customer demands. As a result, systems engineering is seeing widespread adoption of model-based practices to counter-act increasing complexity by relying on abstract representations of a system to make design-decisions and improve risk management capabilities. With the transformation into model-based systems engineering, significant research challenges arise to meet industry needs to enable the readily available use of model-based validation & verification in the early development stages in engineering processes. In this thesis, we investigate how model-based systems engineering enables early validation and verification of systems through analysis performed using abstract and semi-formal models in industrial early stage development settings. The thesis consists of three main chapters; (1) A thorough examination of literature towards the needs, solutions, and open challenges for early validation & verification; (2) A description of the five main solutions developed as part of the thesis research, their industrial settings, and a comparison between these approaches; (3) A summary and merging of the empirical data, practitioner observations, and lessons learned throughout the research regarding early validation & verification and its impact on industrial model-based systems engineering.Systems engineering är en disciplin som hjälper ingenjörer att utveckla komplexa system genom att hantera och minska risker över en systemlivscykel. En viktig del av systems engineering är bekräftelsen på att rätt system är byggt, och att systemet är byggt rätt, vanligtvis kallat validering och verifiering. För närvarande ser flera teknikområden betydande ökningar i sin tekniska komplexitet, delvis på grund av tekniska framsteg och expanderande kundkrav. Som ett resultat ser systems engineering en utbredd användning av modellbaserade metoder för att motverka ökande komplexitet genom att förlita sig på abstrakta representationer av ett system för att fatta designbeslut och förbättra riskhanteringskapaciteten. Med omvandlingen till modellbaserad systems engineering uppstår betydande forskningsutmaningar för att möta industrins behov av att möjliggöra lättillgänglig användning av modellbaserad validering och verifiering i de tidiga utvecklingsstadierna inom ingenjörsprocesser. I denna avhandling undersöker vi hur modellbaserad systems engineering möjliggör tidig validering och verifiering av system genom analys utförd med hjälp av abstrakta och semiformella modeller i industriella tidiga utvecklingsmiljöer. Avhandlingen består av tre huvudkapitel; (1) En grundlig litteraturgenomgång avseende behov, lösningar och öppna utmaningar för tidig validering och verifiering; (2) En beskrivning av de fem huvudlösningarna som utvecklats som en del av avhandlingens forskning, deras industriella miljöer och en jämförelse mellan dessa tillvägagångssätt; (3) En sammanfattning och sammanslagning av empiriska data, observationer från användare, och lärdomar från forskningen gällande tidig validering och verifiering samt dess inverkan på industriell modellbaserad systems engineering
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
A Road-Map for Transferring Software Engineering methods for Model-Based Early V&V of Behaviour to Systems Engineering
Full text linkIn this paper we discuss the growing need for system behaviour to be
validated and verified (V&V'ed) early in model-based systems engineering.
Several aspects push companies towards integration of techniques, methods, and
processes that promote specific and general V&V activities earlier to support
more effective decision-making. As a result, there are incentives to introduce
new technologies to remain competitive with the recently drastic changes in
system complexity and heterogeneity. Performing V&V early on in development is
a means of reducing risk for later error detection while moving key activities
earlier in a process. We present a summary of the literature on early V&V and
position existing challenges regarding potential solutions and future
investigations. In particular, we reason that the software engineering
community can act as a source for inspiration as many emerging technologies in
the software domain are showing promise in the wider systems domain, and there
already exist well formed methods for early V&V of software behaviour in the
software modelling community. We conclude the paper with a road-map for future
research and development for both researchers and practitioners to further
develop the concepts discussed in the paper.Comment: 9 pages, 2 figures, SE2030, Software Engineering in 2030 Workshop,
ACM International Conference on the Foundations of Software Engineering (FSE)
2024, Porto de Galinhas, Brazi
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