Current software development has moved away from the traditional manual workshop model and emphasizes improving software product quality. To address the issue of repetitive work, software reuse techniques can be adopt...
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In Model-Based Systems engineering (MBSE), certain model information is needed for early stage analysis such as system architecture analysis. However, often such information is not available, especially when the organ...
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ISBN:
(纸本)9798350358810;9798350358803
In Model-Based Systems engineering (MBSE), certain model information is needed for early stage analysis such as system architecture analysis. However, often such information is not available, especially when the organization's transformation to MBSE is ongoing, which is typically a long process for many large companies. there is a need for being able to perform some analysis or receive other partial benefit from MBSE, at early stages, without having to fully implement all models with high-fidelity. this paper proposes a novel partial modeling approach to support early stage analysis such as system architecture optimization. the approach includes proper dispositioning of different kinds of models and tools, uncertainty quantification using polynomial chaos expansion, and adaptable system design methods. We demonstrate it on an aircraft electrical power system to support early stage analyses that include load and terminal voltage analyses, and a sustainable electrical architecture optimization.
In this paper we formulate the problem of predicting the outcome (winner) of an ongoing National Basketball Association (NBA) match as a supervised machine learning problem. In this approach, as the match progresses, ...
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Electro-osmotic dewatering (EOD) has long been proposed to dewater the porous insulation materials to maintain their dry status. However, as water migrated from the anode to the cathode, the water content near the ano...
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Background. Within the software industry, it is commonly estimated that software professionals invest a substantial portion of their work hours in the process of understanding existing systems. In this context, an ine...
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ISBN:
(纸本)9798400705335
Background. Within the software industry, it is commonly estimated that software professionals invest a substantial portion of their work hours in the process of understanding existing systems. In this context, an ineffective technical onboarding process, which introduces newcomers to software under development, can result in a prolonged period for them to absorb the necessary knowledge required to become productive in their roles. Goal. the present study aims to explore the familiarity of managers, leaders, and developers withsoftware visualization tools and how these tools are employed to facilitate the technical onboarding of new team members. Method. To address the research problem, we built upon the insights gained through the literature and embraced a sequential exploratory approach. this approach incorporated quantitative and qualitative analyses of data collected from practitioners using questionnaires and semi-structured interviews. Findings. Our findings demonstrate a gap between the concept of software visualization and the practical use of onboarding tools and techniques. Overall, practitioners do not systematically incorporate software visualization tools into their technical onboarding processes due to a lack of conceptual understanding and awareness of their potential benefits. Conclusion. the software industry could benefit from standardized and evolving onboarding models, improved by incorporating software visualization techniques and tools to support program comprehension of newcomers in the software projects.
In response to heightened concerns about indoor air quality in hospital buildings following the Covid-19 pandemic, and despite increased use of technologies like air purifiers to mitigate airborne infection risks, a k...
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Indoor Environmental Quality (IEQ) is undeniably a crucial factor that affects the occupants’ overall health and well-being. However, there is a significant lack of available actionable and measurable real-time metri...
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Personas are a powerful tool for use during Requirements engineering (RE). We curated 98 persons used for various RE tasks in various domains from 41 academic publications. Using these personas, we formulated a propos...
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ISBN:
(数字)9783031641824
ISBN:
(纸本)9783031641817;9783031641824
Personas are a powerful tool for use during Requirements engineering (RE). We curated 98 persons used for various RE tasks in various domains from 41 academic publications. Using these personas, we formulated a proposed RE persona taxonomy consisting of several dimensions. To evaluate whether our proposed RE persona taxonomy could aid requirements engineers, we interviewed 20 practitioners to get their feedback on our approach. they reported several perceived benefits of our proposed RE taxonomy, including providing recommendations for relevant human factors in personas, serving as persona templates, and guiding junior requirements engineers. We also identified areas that could be improved: the need to differentiate between internal and external aspects and understand the relationships between them better, providing the taxonomy with clear instructions, and the potential to develop a tool that aids persona generation in RE practice.
this paper presents a novel Convolutional Based Temporal Attention (CBTA) module that improves the performance of temporal convolutional networks (TCN) in lipreading tasks without requiring any additional data. Our CB...
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this work focuses on preventing post-surgery infections in an Operating theatre (OT). the study analyses two different Heating Ventilation and Air Conditioning (HVACs) in an OT by using Computational Fluid Dynamics (C...
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