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2024 International Conference on Computer Application and information Security, ICCAIS 2024

作者： Hu, Xuan Du, Jun Li, Xuetong Ye, Changnan Li, Haifeng CEPREI Laboratory Guangdong Guangzhou510610 China The Ministry of Industry and Information Technology Key Laboratory of Performance and Reliability Testing and Evaluation for Basic Software and Hardware Guangdong Guangzhou510610 China HuaTech Technology Co. Ltd. Beijing100195 China Inner Mongolia First Machinery Group Co. Ltd. Inner Mongolia Baotou014030 China China Space Sanjiang Group Co. Ltd. Hubei Xiaogan432100 China School of Reliability and Systems Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781510689312

At present, few studies in the existing literature analyze the evaluation methods for the accuracy reliability of trusted computer numerical control (CNC) machine tool. This study aims to create a systematic method to solve the problem of how to conduct a comprehensive and scientific evaluation of trusted CNC machine tool based on belief reliability theory. Firstly, a definition of accuracy reliability is presented and the factors that affect the accuracy reliability of trusted CNC machine tool are analyzed. Then, a full failure mode method is used to perform failure mode and effects analysis (FMEA) on "mechanical failures". And a traditional failure chain method is used to perform the FMEA on the other failures, with a focus on "security protection failures". Moreover, a method for determining the corresponding epistemic uncertainty factor based on the application effectiveness evaluation of security risk factor for trusted CNC machine tool accuracy reliability is presented. Similarly, a method for determining the corresponding epistemic uncertainty factor based on the application effectiveness evaluation of FMEA for trusted CNC machine tool accuracy reliability is presented. Finally, the accuracy of spindle and feeding shaft of trusted CNC machine tool is selected as the performance indicator to measure the overall accuracy of machine tool, and the trusted CNC machine tool accuracy reliability is evaluated based on the belief reliability theory. The results of case studies reveal that the existence of epistemic uncertainty can lower people’s expectations of product reliability. In addition, product reliability can be improved by continuously reducing epistemic uncertainty. © The Authors.

关键词： Failure modes

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Instructors' Perspectives on Capstone Courses in Computing Fields: A Mixed-Methods Study 2024

Instructors' Perspectives on Capstone Courses in Computing F...

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29th Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE WGR 2024

作者： Hooshangi, Sara Shakil, Asma Dasgupta, Subhasish Davis, Karen C.C. Farghally, Mohammed Fitzpatrick, KellyAnn Gutica, Mirela Hardt, Ryan Riddle, Steve Seyam, Mohammed Department of Computer Science Virginia Tech BlacksburgVA United States School of Computer Science University of Auckland Auckland New Zealand Info Systems and Tech Mgmt Dept George Washington University WashingtonDC United States Computer Science and Software Engineering Dept. Miami University OxfordOH United States School of Computing Instruction Georgia Institute of Technology AtlantaGA United States School of Computing & Academic Studies British Columbia Institute of Technology BurnabyBC Canada Computer & Information Science University of St. Thomas Saint PaulVA United States School of Computing Newcastle University Newcastle upon Tyne United Kingdom

ISBN: (纸本)9798400712081

team-based capstone courses are integral to many undergraduate and postgraduate degree programs in the computing field. They are designed to help students gain hands-on experience and practice professional skills such as communication, teamwork, and self-reflection as they transition into the real world. Prior research on capstone courses has focused primarily on the experiences of students. The perspectives of instructors who teach capstone courses have not been explored comprehensively. However, an instructor's experience, motivation, and expectancy can have a significant impact on the quality of a capstone course. In this working group, we used a mixed methods approach to understand the experiences of capstone instructors. Issues such as class size, industry partnerships, managing student conflicts, and factors influencing instructor motivation were examined using a quantitative survey and semi-structured interviews with capstone teaching staff from multiple institutions across different continents. Our findings show that there are more similarities than differences across various capstone course structures. Similarities include team size, team formation methodologies, duration of the capstone course, and project sourcing. Differences in capstone courses include class sizes and institutional support. Some instructors felt that capstone courses require more time and effort than regular lecture-based courses. These instructors cited that the additional time and effort is related to class size and liaising with external stakeholders, including industry partners. Some instructors felt that their contributions were not recognized enough by the leadership at their institutions. Others acknowledged institutional support and the value that the capstone brought to their department. Overall, we found that capstone instructors were highly intrinsically motivated and enjoyed teaching the capstone course. Most of them agree that the course contributes to their professional de

关键词： Students

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Feature-Oriented Nonfunctional Requirement Analysis for software Product Line

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Journal of Computer Science & Technology 2009年第2期24卷 319-338页

作者：彭鑫 Seok-Won Lee 赵文耘 School of Computer Science Fudan University Knowledge-Intensive Software Engineering Research Group Department of Software and Information Systems College of Computing and Informatics University of North Carolina at Charlotte

Domain analysis in software product line （SPL） development provides a basis for core assets design and imple- mentation by a systematic and comprehensive commonality/variability analysis. In feature-oriented SPL methods, products of the domain analysis are domain feature models and corresponding feature decision models to facilitate application-oriented customization. As in requirement analysis for a single system, the domain analysis in the SPL development should con- sider both flmctional and nonfunctional domain requirements. However, the nonfunctional requirements （NFRs） are often neglected in the existing domain analysis methods. In this paper, we propose a context-based method of the NFR analysis for the SPL development. In the method, NFRs are materialized by connecting nonfunctional goals with real-world context, thus NFR elicitation and variability analysis can be performed by context analysis for the whole domain with the assistance of NFR templates and NFR graphs. After the variability analysis, our method integrates both functional and nonfunc- tional perspectives by incorporating the nonfunctional goals and operationalizations into an initial functional feature model. NFR-related constraints are also elicited and integrated. Finally, a decision model with both functional and nonfunctional perspectives is constructed to facilitate application-oriented feature model customization. A computer-aided grading system （CAGS） product line is employed to demonstrate the method throughout the paper.

关键词： software product line nonfunctional requirement domain analysis feature-oriented method variability analysis

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A Decision Support System for Enhancing Transportation Services Using Aspect-Based Sentiment Analysis

A Decision Support System for Enhancing Transportation Servi...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Benaddi, Lamya Ouaddi, Charaf Naimi, Lahbib Souha, Adnane Jakimi, Abdeslam Ouchao, Brahim Moulay Ismail University Software Engineering and Information Systems Engineering Team Faculty of Science and Technology Errachidia Department of Computer Sciences Morocco

ISBN: (纸本)9798350369106

This paper proposes an innovative decision support system based on sentiment analysis, specifically designed for the transportation sector. The system employs an aspect-based sentiment analysis approach, which accurately identifies and classifies customer opinions on key transportation service aspects such as comfort, driver behavior, punctuality, and vehicle condition. By integrating the BERT model, known for its advanced natural language processing capabilities, our system provides an in-depth and reliable analysis of customer sentiments. This analysis enables managers and decision-makers to better understand the strengths and weaknesses of the provided transportation services and to precisely target areas that require improvement. By offering actionable insights, our approach aims to enhance the user experience, improve service quality, and increase overall customer satisfaction. © 2024 IEEE.

关键词： Customer satisfaction

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A Metamodel for a DSL to Design Decision Support systems in Smart Tourism

A Metamodel for a DSL to Design Decision Support Systems in ...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ouaddi, Charaf Benaddi, Lamya Souha, Adnane Naimi, Lahbib Bouziane, El Mahi Jakimi, Abdeslam Moulay Ismail University Software Engineering and Information Systems Engineering Team Faculty of Science and Technology Errachidia Department of Computer Sciences Morocco

ISBN: (纸本)9798350369106

The development of Decision Support systems (DSS) for several companies operating in sectors such as tourism, healthcare, or others, presents significant challenges due to the nature of their multi-component architecture. A typical DSS consists of a data component, a model component incorporating machine learning and deep learning techniques, and a user interface component, each one requires diverse technologies. This complexity increases development time and effort, hindering the efficient design of DSS tailored to specific domains like tourism, where real-time decision-making is essential. One promising approach to overcome these challenges is the use of Domain-Specific Languages (DSLs). DSLs allow developers to model and generate code more efficiently by providing high-level abstractions suited to the domain. By leveraging DSLs, it is possible to simplify the design process and automate the generation of code or parts of the DSS, thereby reducing the overall complexity and time required for development. This paper proposes a metamodel for designing DSS, specifically for the Smart Tourism sector. The metamodel serves as a foundation for the creation of DSL. The goal is to provide a solution to facilitate the development of DSS for the demands of tourism. The paper outlines the key concepts, approach, and results, presenting the first element of the proposed DSL which is the metamodel capturing the essential components and relationships for DSS in Smart Tourism. © 2024 IEEE.

关键词： Digital subscriber lines

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Towards a software Factory for Developing Recommender systems and Decision Support systems for Smart Tourism

Towards a Software Factory for Developing Recommender System...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Souha, Adnane Naimi, Lahbib Ouaddi, Charaf Benaddi, Lamya Bouziane, El Mahi Jakimi, Abdeslam Moulay Ismail University Software Engineering and Information Systems Engineering Team Faculty of Sciences and Techniques Errachidia Department of Computer Sciences Morocco

ISBN: (纸本)9798350369106

The development of smart systems is fundamental to improve the competitiveness of tourist destinations, by exploiting technologies such as Recommender systems (RS) and Decision Support systems (DSS). In this article, we propose an approach based on Model-Driven engineering (MDE) for the creation of a software factory dedicated to the design of RS and DSS for tourism destination managers. This software factory is based on two main assets: a Domain-Specific Language (DSL) for recommendation systems and another DSL for decision support systems. The main aim of this approach is to reduce the complexity and development time of this type of application. © 2024 IEEE.

关键词： Digital subscriber lines

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Knowledge-based approach to domain modeling: Application to nasa's payload operations control centers

引用

Telematics and Informatics 1992年第3-4期9卷 281-296页

作者： Gomaa, Hassan Kerschberg, Larry Sugumaran, Vijayan Center for Software Systems Engineering Department of Information and Software Systems Engineering George Mason University Fairfax Virginia 22030-4444 United States

Several institutions in industry and academia are pursuing research efforts in domain modeling to address unresolved issues in software reuse. To demonstrate the concepts of domain modeling and software reuse, a prototype software engineering environment is being developed at George Mason University to support the creation of domain models and the generation of target system specifications. This prototype environment, which is application domain independent, consists of an integrated set of commercial off-the-shelf software tools and custom-developed software tools. This paper describes the knowledge-based tool that has been developed as part of the environment to generate target system specifications from a domain model. This knowledge-based approach to domain modeling has been applied to NASA's Payload Operations Control Center (POCC) domain. © 1992, Pergamon Press Ltd.. All rights reserved.

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SOLAS: Superpositioning an Optical Lens in Automotive Simulation

arXiv

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arXiv 2025年

作者： Jakab, Daniel Barthel, Julian Braun, Alexander Mohandas, Reenu Deegan, Brian Michael Kumbham, Mahendar Molloy, Dara Collins, Fiachra Scanlan, Anthony Eising, Ciarán Dept. of Electronic and Computer Engineering University of Limerick Castletroy Co. Limerick V94 T9PX Ireland Faculty of Electrical Engineering & Information Technology University of Applied Sciences Düsseldorf40476 Germany Dept. of Electrical and Electronic Engineering University of Galway GalwayH91 TK33 Ireland Valeo Vision Systems Tuam GalwayDY1 22DJ Ireland Lero the Science Foundation Ireland Research Centre for Software University of Limerick LimerickV94 T9PX Ireland

Automotive Simulation is a potentially cost-effective strategy to identify and test corner case scenarios in automotive perception. Recent work has shown a significant shift in creating realistic synthetic data for road traffic scenarios using a video graphics engine. However, a gap exists in modeling realistic optical aberrations associated with cameras in automotive simulation. This paper builds on the concept from existing literature to model optical degradations in simulated environments using the Python-based ray-tracing library KrakenOS. As a novel pipeline, we degrade automotive fisheye simulation using an optical doublet with +/-2◦ Field of View(FOV), introducing realistic optical artifacts into two simulation images from SynWoodscape and Parallel Domain Woodscape. We evaluate KrakenOS by calculating the Root Mean Square Error (RMSE), which averaged around 0.023 across the RGB light spectrum compared to Ansys Zemax OpticStudio, an industrial benchmark for optical design and simulation. Lastly, we measure the image sharpness of the degraded simulation using the ISO12233:2023 Slanted Edge Method and show how both qualitative and measured results indicate the extent of the spatial variation in image sharpness from the periphery to the center of the degradations. © 2025, CC BY.

关键词： Ray tracing

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A DSL-based Approach for Code Generation and Navigation Process Management in a Single Page Application 14

A DSL-based Approach for Code Generation and Navigation Proc...

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14th International Conference on Emerging Ubiquitous systems and Pervasive Networks / 13th International Conference on Current and Future Trends of information and Communication Technologies in Healthcare, EUSPN/ICTH 2023

作者： Naimi, Lahbib Abdelmalek, Hamza Jakimi, Abdeslam Software Engineering and Information Systems Engineering Team Department of Informatics Faculty of Sciences Techniques of Errachidia University of Moulay Ismail Errachidia52000 Morocco

Single page applications (SPAs) are web applications that offer a fast and responsive user experience, but also pose some challenges in terms of navigation process management and platform compatibility. In this paper, we propose a DSL-based approach for code generation and management of SPA navigation process, based on the visual vocabulary proposed by Garrett. We use a Domain-Specific Language (DSL) to describe the elements of the SPA, such as pages, connectors, and transitions, in a concise and abstract way. We also propose a metamodel for Garrett vocabulary, which defines the concepts and relationships of the DSL. Then, we apply a Model-Driven engineering (MDE) technique to transform the DSL specification into a platform-specific project architecture and basic code for an SPA. We present a case study of using our DSL to generate an Angular SPA and evaluate the benefits of our approach in terms of productivity, maintainability, and reusability. © 2024 Elsevier B.V.. All rights reserved.

关键词： Reusability

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Utilizing patterns in developing design theories

Utilizing patterns in developing design theories

引用

31st International Conference on information systems, ICIS 2010

作者： Buckl, Sabine Matthes, Florian Schweda, Christian M. Chair for Software Engineering of Business Information Systems Germany

ISBN: (纸本)9780615418988

Aside from specialized design artifacts solving 'wicked' problems in a distinct organizational context, prescriptive (design) theories for solving classes of problems are well-accepted results of design science research. Especially for intricate problem fields, as IT service management or EA management, the development of such theories remains a highly complex research endeavor spanning a longer period of time. In this paper, we discuss how patterns, i.e. practice-proven, reusable solutions to recurring problems, can be used to ease the establishment of a design theory, and to provide practice-relevant intermediary results prior to theory completion.

关键词： Problem solving

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