the following topics are dealt with: development methods and CASE (computer-aided softwareengineering);artificial intelligence (AI) applications;software design;systems and software analysis;software maintenance;syst...
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ISBN:
(纸本)081862065X
the following topics are dealt with: development methods and CASE (computer-aided softwareengineering);artificial intelligence (AI) applications;software design;systems and software analysis;software maintenance;systems and software testing;and parallel program development and hypertext. Abstracts of individual papers can be found under the relevant classification codes in this or other issues.
A collective adaptive system is made up of cooperating entities that can adjust in real time to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous enginee...
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ISBN:
(纸本)9783031751066;9783031751073
A collective adaptive system is made up of cooperating entities that can adjust in real time to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous engineering must employ suitable methods and tools. this introduction offers a short overview of the 5(th) edition of the track "Rigorous engineering of Collective Adaptive systems" and briefly presents the 20 scientific contributions, organised into seven thematic sections. Large Ensembles and Collective Dynamics, Knowledge, Consciousness and Emergence, Automated Reasoning for Better Interaction, Modelling and engineering Collective Adaptive systems, Analysing Collective Adaptive systems.
In the transition to the"digital" era, many large enterprises have adopted enterprise architecture methodologies for top-level design, business architecture as the core content of enterprise architecture, it...
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the rotating joint is an important part of the mechanical scanning antenna, which ensures the effective transmission of electromagnetic wave signals during the rotation of the antenna. In this paper, the foundational ...
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Intelligent technologies are driving the development of smart campuses, fostering a dynamic and diverse intelligent ***, the current trend of customizing smart campus solutions often positions campus citizens as mere ...
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Estimating Worst-Case Execution Time (WCET) as a regression problem has become increasingly challenging due to the complexity of modern hardware and softwaresystems. Traditional statistical methods often fall short o...
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Withthe advancement of software-Defined Networking (SDN) technology, network programmability and flexibility have been significantly enhanced. However, effectively integrating traditional network systems with emergin...
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Optical Character Recognition, or OCR, is a tool that could apprehend textual content in photographs or scanned documents and convert it into system-readable textual content. To recognize and extract information from ...
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In traditional approaches to develop softwaresystemsthat do not have an Artificial Intelligence (AI) or Machine Learning (ML) component, requirements determination activities - also called Requirements engineering (...
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ISBN:
(纸本)9783031782541;9783031782558
In traditional approaches to develop softwaresystemsthat do not have an Artificial Intelligence (AI) or Machine Learning (ML) component, requirements determination activities - also called Requirements engineering (RE) - are well-established and researched. When it comes to building softwaresystems with one or more AI/ML components, the process is dependent heavily on data with limited or in some cases no insight into the non-functional requirements of the system's internal workings such as fairness, accountability and transparency, inter alia. In this paper, I review literature to probe how an emphasis on nonfunctional requirements during requirements determination can help address ethical requirements when implementing AI systems. the results show that currently technical experts often emphasize functional requirements more than non-functional requirements. Where they do, the emphasis is still on system-oriented non-functional requirements such as portability, maintainability, opacity, inter alia. However, AI being an interdisciplinary subject, encompassed in a bracket of sociotechnical systems, there is need to revisit this tendency by technical experts. I propose a framework for classifying ethical requirements under non-functional requirements in order to ensure equal emphasis on environment-oriented non-functional requirements such as privacy, fairness, eco-friendly among others. I also argue that the use of a value sensitive design (VSD) approach will help in the implementation of ethical AI systems in order to address ethical concerns from stakeholders. In addition, existing technical literature has focused more on using AI to manage RE activities (AI in RE), yet very limited research has been done on RE for AI systems (RE4AI). Requirements engineering is generally accepted as the most critical and complex process within the development of sociotechnical systems. the literature also confirms that during requirements determination for AI systems (RE4AI), a
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