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Towards a Comprehensive Ontology for Requirements engineering for AI-Powered Systems 30th

Towards a Comprehensive Ontology for Requirements Engineerin...

引用

30th International Working conference on Requirements engineering - Foundation for software Quality (REFSQ)

作者： Sadovski, Eran Aviv, Itzhak Hadar, Irit Univ Haifa City Campus IL-3303220 Haifa Israel Acad Coll Tel Aviv Yaffo MTA IL-6818211 Yaffo Israel

ISBN: (纸本)9783031573262;9783031573279

Context and motivation: Artificial intelligence (AI) provides computer systems problem-solving and decision-making features mimicking human behavior. As AI becomes widely adopted, AI-powered systems become increasingly ubiquitous. Requirements engineering (RE) is fundamental to system development, including AI-powered systems, which provide novel RE challenges. Question/problem: Developing means for addressing these challenges, which include increased need and importance of specifying and addressing social requirements, (e.g., responsibility, ethics, and trustworthiness);achieving a comprehensive understanding of all RE aspects, given the substantial growth in the diversity and complexity of requirements and the emergence of newand often contradictory ones;and, employing relevant methods and techniques that are suited for addressing these challenges. Principal ideas/results: We propose anRE4AI ontology as a first step toward addressing the above challenges. The development of the ontology was based on a meta-synthesis of relevant publications for identifying recurring themes and patterns, resulting in a set of themes categorized into RE stages, topics, stakeholders' roles, and constraints that formed the developed ontology. Contribution: The ontology provides a systematic and unambiguous representation of the accumulated RE knowledge about the system, including requirement themes, relationships between requirements, constraints, and stakeholders needed in the RE process. This ontology provides the basis for a complete AI RE methodology (AI-REM) framework that will incorporate methods to develop and manage AI-powered system requirements.

关键词： Requirement engineering Ontology Artificial Intelligence Machine Learning FR NFR RE4AI

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Efficient Routing in SDN using Minimum Bottleneck Spanning Tree 6

Efficient Routing in SDN using Minimum Bottleneck Spanning T...

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6th IEEE International conference on knowledge Innovation and Invention, ICKII 2023

作者： Yang, Yuan-Rung Chen, Yu-Siang Chen, Yaw-Chung Wang, Pi-Chung National Yang Ming Chiao Tung University Institute of Computer Science and Engineering Hsinchu Taiwan National Chung Hsing University Department of Computer Science and Engineering Taichung Taiwan

ISBN: (纸本)9798350323535

software-defined networking (SDN) decouples control and data planes of network devices to manage network services and determine forwarding paths in a centralized manner. In order to reduce the occurrence of path rerouting, we proposed a routing scheme to generate both default and alternative paths based on the minimum bottleneck spanning tree (MBST). With the proposed routing algorithm, routing paths was evenly distributed to different links, and redundant path rerouting was avoided. The experimental results demonstrated that the proposed scheme reduced the number of path-rerouting occurrences. The proposed scheme balanced link loads effectively. © 2023 IEEE.

关键词： Routing algorithms

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Leveraging software engineering Practices to Enhance Nursing Informatics Systems Development: A Systematic Literature Review 8

Leveraging Software Engineering Practices to Enhance Nursing...

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8th conference on Information Communication Technology and Society, ICTAS 2024

作者： Mendoza, James Neil B. Buhat-Mendoza, Dorothy G. Ampaguey, Jocelyn O. Gravides, Marilou G. Tobruk University College of Nursing Tobruk Libya

ISBN: (纸本)9798350314892

Nursing informatics (NI) integrates nursing knowledge with IT, making a difference in patient outcomes as well as better healthcare processes. software engineering (SE) principles deliver quality, efficiency, and optimal industry requirements in the NI system development process. This systematic literature review focuses on SE practices and their integration into NI systems development. Identifying, evaluating, and synthesizing relevant studies systematically using Parsifal were done in the review. Articles from peer-reviewed journals published in English from 2000 to 2023, SE and NI integration were among the selection criteria. In total, 26 studies were identified upon a screening process of the results from the search that yielded 202 unique and relevant studies. The PRISMA statement guides the process, ensuring transparency and reproducibility. A quality assessment checklist was employed to evaluate the study for final selection. Articles were analyzed based on SE methodologies applied to NI development either implied or explicit. The results show that SE practices, including software Development, User-Centered Design, Prototyping, Agile Methodologies, Requirements engineering, and Security Measures contribute to the improvement of NI system development. These practices provide advantages like efficiency, system quality, security, and system maintenance and evolution. Obstacles involve cultural differences, regulatory issues, and resource limitations. In this regard, there are several recommendations for promoting the successful implementation of SE practices into NI systems development through collaboration, agile methodologies, adaption to a healthcare context, and continuous education and training. This is to promote cooperation, adapting SE methodologies to the needs of health care and providing better understanding between software engineers and nurses. © 2024 IEEE.

关键词： Efficiency

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Synthesis of Agent-based Decision-Making Systems with Multiple Coalitions

Synthesis of Agent-Based Decision-Making Systems with Multip...

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2023 International conference on Electromechanical and Energy Systems, SIELMEN 2023

作者： Ababii, Victor Sudacevschi, Viorica Munteanu, Silvia Carbune, Viorel Melnic, Radu Lasco, Victor Technical University of Moldova Department of Computer Sciences and Systems Engineering Chisinau Moldova Technical University of Moldova Department of Software Engineering and Automatics Chisinau Moldova

ISBN: (纸本)9798350315240

This paper presents a synthesis method of decision-making systems based on Agents forming multiple coalitions. The condition for coalition formation is defined by a mathematical model that solves the problem of global optimization of the objective function. The problem of synthesizing the agent-based system was formulated, and the mathematical model for negotiating the coalition formation process was developed. The process of initiation, dialogue and coalition formation is presented based on the sequence diagram. For structural modeling, Membrane Computation (P-Systems) models are used that highlight the parallelism and topology of the Multi-Agent system. The Agent structure is defined as a collection of knowledge (data and processing methods) and input/output ports. The functional validation of the Agent and the Multi-Agent system was performed based on the Timed Petri Nets. © 2023 IEEE.

关键词： Petri nets

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GCCR: GAT-based Category-Aware Course Recommendation 17th

GCCR: GAT-Based Category-Aware Course Recommendation

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17th International conference on knowledge Science, engineering and Management (KSEM)

作者： Xu, Xiaohuan Ma, Wenjun Wei, Jinhui Tang, Suqin Jiang, Yuncheng South China Normal Univ Sch Comp Sci Guangzhou 510631 Peoples R China South China Normal Univ Sch Artificial Intelligence Foshan 528225 Peoples R China South China Normal Univ Sch Software Foshan 528225 Peoples R China Guangxi Normal Univ Fac Educ Guilin 541004 Peoples R China

ISBN: (纸本)9789819755004;9789819755011

Massive Open Online Courses (MOOCs) are widely receiving attention from learners because of their ability to recommend personalized courses to learners. While existing course recommendation methods have shown good performance, they still overlook the learning sequence from easy to difficult and the correlation between different disciplinary categories, resulting in unsatisfactory performance. To tackle these, we propose a GAT-based Category-aware Course Recommendation system, named GCCR. Specifically, we integrate the learner-course-category tripartite graph and course sequence graph into a unified large-scale graph, and then introduce a learner-centered graph sampling strategy within this unified graph, optimizing GAT-based propagation. Besides, we utilize the genetic algorithm to adaptively search for a locally optimal assignment plan based on the correlation between disciplinary categories. Finally, to improve model convergence stability, we introduce the weighted dual prediction, assigning distinct weights to the losses of GCCR and its GAT-less variant to train simultaneously, named GCCR + D. Extensive experiments on real-world datasets from two different periods demonstrate the effectiveness of our model compared to prevailing baseline methods.

关键词： Graph Attention Network Course Recommendation Genetic Algorithm Massive Open Online Courses (MOOCs)

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Improving Mutation-based Fault Localization via Mutant Categorization 34

Improving Mutation-Based Fault Localization via Mutant Categ...

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34th International conference on software engineering and knowledge engineering, SEKE 2022

作者： Li, Xia Tadikonda, Durga Nagarjuna Department of Software Engineering and Game Design Kennesaw State University United States

ISBN: (纸本)1891706543

Fault localization is one of the most important activities in software debugging. Among various fault localization techniques, mutation-based fault localization (MBFL) has been commonly studied with its promising performance. However, MBFL should be improved further by incorporating more useful program information. In this paper, we propose MuCatFL, a novel and lightweight technique for better MBFL via mutant categorization. In details, after executing the original test suite against all generated mutants, we categorize the mutants into two groups, positive mutants and negative mutants, to rank the tied program elements. We evaluate MuCatFL by performing an extensive study on 395 real software faults from the widely used benchmark Defects4J. The experimental results show that MuCatFL can significantly outperform MBFL techniques (e.g., localizing 138 faults within the Top-1 position on method-level, 43.75% more than traditional Metallaxis technique). We also investigate that only positive mutants can contribute to the effectiveness of MBFL. Our findings can also provide guidance for the strategies to reduce the execution cost of MBFL. © 2022 knowledge Systems Institute Graduate School. All rights reserved.

关键词： software testing

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Development of Truss Material Evaluation software Using Application of AHP-Entropy and TOPSIS Method

Development of Truss Material Evaluation Software Using Appl...

引用

International conference on Geosynthetics and Environmental engineering, ICGEE 2023

作者： Lucena, Joe Robert Paul G. Honorio, Roselle L. Manggapis, Franklyn F. Carabbacan, Aaron Paul I. Kumar, Sanjie Dutt A. Mendoza Jr, Alfredo Dela Cruz, Orlean G. Civil Engineering Department Colegio De Muntinlupa Metro Manila Muntinlupa City1770 Philippines Graduate School Polytechnic University of the Philippines Sta. Mesa Metro Manila1016 Philippines Technological University of the Philippines Taguig Metro Manila Taguig1770 Philippines Civil Engineering Department Technological Institute of the Philippines - Quezon City Metro Manila Quezon City1109 Philippines

ISBN: (纸本)9789819942282

A truss member is an essential component for supporting roofs and bridge construction. While steel is the primary or most common material used, the industry faces various challenges today, such as product shortages and environmental concerns stemming from steel manufacturing. This research addresses these issues by identifying alternative materials for truss members using modern technology and software development. The study has four main objectives: first, to determine the necessary criteria for evaluating a truss member;second, to determine the weight of each criterion for truss member evaluation;third, to develop an evaluative framework software based on the principles of the Application of Hierarchy Process (AHP), the entropy method, and the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) method for truss member selection;and fourth and finally, to evaluate two or more alternative truss materials using the evaluative framework software. Data gathering was accomplished through surveys and literature reviews. The research team has developed software that can derive subjective criteria weights using the AHP method, non-subjective criteria weights using the entropy method, and combine the weights obtained from both methods using TOPSIS analysis. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： software design

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Blockchain based cipher-text data sharing scheme using ERC1155 7

Blockchain based cipher-text data sharing scheme using ERC11...

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7th International conference on Advanced Electronic Materials, Computers, and software engineering, AEMCSE 2024

作者： Zhao, Jinyi Wen, Zhenying Chen, Taowei Yu, Yimin School of Logistics and Management Engineering Yunnan University of Finance and Economics Kunming China School of Information Yunnan University of Finance and Economics Kunming China

ISBN: (纸本)9781510681866

This paper present a novel blockchain CP-ABE (Ciphertext-Policy Attribute-based Encryption) data ciphertext sharing scheme, leveraging decentralized proxy re-encryption. It utilizes Ethereum blockchain and zero-knowledge proof technologies to develop a blockchain key management system for multiparty secure computation. This system aims to mitigate heavy computation and key leakage risks associated with traditional centralized CP-ABE systems. The approach begins with the design of a distributed master key generation and distribution protocol within the data ciphertext access control, deploying the UMBRAL-based proxy re-encryption technology on blockchain for key management system. Moreover, the paper uses ERC1155 to mint transferable NFTs for blockchain transactions in data sharing and access control. Through simulation experiments, our scheme demonstrates improved scalability in blockchain ciphertext data transactions and storage, alongside a significant decrease in the Gas costs of on-chain data asset transactions. Furthermore, our methodology not only augments the safety of distributed key management but also realizes high computational efficiency and swift query response, particularly in scenarios of high concurrency. © 2024 SPIE.

关键词： Blockchain Computer security Data modeling Data storage Data privacy Control systems Design Symmetric key encryption Computing systems Matrices

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Research on the Analog Electronics Technology Course Construction based on engineering Education Accreditation 23

Research on the Analog Electronics Technology Course Constru...

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8th International conference on Distance Education and Learning, ICDEL 2023

作者： Wang, Shigang School of Mechanical and Electrical Engineering Heilongjiang University China

ISBN: (纸本)9798400700422

Under the background of engineering education accreditation, the analog electronic technology course, with the comprehensive cultivating goal of knowledge, ability and quality, adopts students-centered and online merge offline teaching mode. Online teaching sources such as course videos, exercise library, the ideological and political elements and the relevant frontier scientific research are set up in the learning pass software. Teaching objectives are outcome based education, and highlight the innovative cultivation of students' ability to solve complex engineering problem. The paper mainly focuses on analysis and discussion of design and organization of teaching content, teaching sources, quality assessment and university-enterprise cooperation, and puts forward to the corresponding reform measures. Finally, a multi-dimension, hierarchical and sustainable improvement course system is established. © 2023 ACM.

关键词： Accreditation

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Feature Matching based Heterogeneous Transfer Learning for Student Performance Prediction 17th

Feature Matching Based Heterogeneous Transfer Learning for S...

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17th International conference on knowledge Science, engineering and Management (KSEM)

作者： Chen, Juan Jia, Haiyang Wu, Zhongbo Mu, Junxian Ang, Gao Jilin Univ Coll Comp Sci & Technol Changchun 130012 Peoples R China Jilin Univ Coll Software Changchun 130012 Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun 130012 Peoples R China

ISBN: (纸本)9789819754946;9789819754953

Improving the performance of predicting student performance by transfer learning has become a new research focus in the field of education datamining. However, most works concentrate on homogeneous transfer learning, therefore they cannot solve the feature heterogeneity between source and target domains. A heterogeneous transfer learning algorithm with feature matching based on correlation coefficients and fine-tuning (FMBCC-FT) is proposed. FMBCC-FT first normalizes the source and target domain data, then selects and matches features according to the correlation coefficients between the features and the labels, finally trains the logistic regression model with source domain data and fine-tunes with target domain labeled data. The experiments are carried out with the open datasets of edX as the source domain and the learning data from Jilin University as the target domain. The results show that the proposed method outperforms the related works and confirm its effectiveness and competitiveness.

关键词： transfer learning heterogeneous transfer learning education data mining student performance prediction logistic regression

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