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A Formal Approach for Consistency Management in UML Models UML模型中一致性管理的形式化方法
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-03-03 DOI: 10.1142/s0218194023500134
Hao-yu Wen, Jinzhao Wu, Jianmin Jiang, Guofu Tang, Zhong Hong
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引用次数: 0
Deriving Thresholds of Object-Oriented Metrics to Predict Defect-Proneness of Classes: A Large-Scale Meta-Analysis 导出面向对象度量的阈值来预测类的缺陷倾向:一个大规模的元分析
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-03-03 DOI: 10.1142/s0218194023500110
Yuanqing Mei, Yi Rong, Shiran Liu, Zhaoqiang Guo, Yibiao Yang, Hongmin Lu, Yutian Tang, Yuming Zhou
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引用次数: 0
XL-BPMN Model-Based Service Similarity Measurement Technique 基于xml - bpmn模型的服务相似度度量技术
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-03-03 DOI: 10.1142/s0218194023500122
Cheeyang Song, Eunsook Cho
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引用次数: 0
SQL#: A Language for Maintainable and Debuggable Database Queries SQL#:一种可维护和可调试的数据库查询语言
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-03-01 DOI: 10.1142/s0218194023500109
Yamin Hu, Hao Jiang, Hanlin Tang, Xin Lin, Zongyao Hu
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引用次数: 0
A Proposed Framework for Student's Skills-Driven Personalization of Cloud-Based Course Content 基于云的课程内容的学生技能驱动个性化框架
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-28 DOI: 10.1142/s0218194023500092
A. Qaffas, I. Alharbi, A. Idrees, S. Kholeif
Engaging students' personalized data in the aspects of education has been on focus by different researchers. This paper considers it vital for exploring the student's progress, moreover, it could predict the student's level which consequently leads to identifying the required student material to raise his current education level. Although the topic has been vital before the COVID-19 pandemic, however, the importance of the topic has increased exponentially ever since. The research supports the decision-makers in educational institutions as considering personalized data for the student's educational tasks and activities proved the positive impact of raising the student level. The paper proposes a framework that considers the students' personal data in predicting their learning skills as well as their educational level. The research included engaging five well-known clustering algorithms, one of the most successful classification algorithms, and a set of 10 features selection techniques. The research applied two main experiment phases, the first phase focused on predicting the students' learning skills, and the second focused on predicting the students' level. Two datasets are involved in the experiments and their sources are mentioned. The research revealed the success of the clustering and prediction tasks by applying the selected techniques to the datasets. The research concluded that the highest clustering algorithm accuracy is enhanced k-means (EKM) and the highest contributing features selection method is the evolutionary computation method. © 2023 World Scientific Publishing Company.
将学生的个性化数据融入教育的各个方面一直是不同研究者关注的焦点。本文认为,它对探索学生的进步至关重要,而且,它可以预测学生的水平,从而导致确定所需的学生材料,以提高他目前的教育水平。尽管该主题在2019冠状病毒病大流行之前至关重要,但自那时以来,该主题的重要性呈指数级增长。本研究支持教育机构决策者在考虑学生教育任务和活动的个性化数据时,证明了提高学生水平的积极影响。本文提出了一个考虑学生个人数据来预测其学习技能和教育水平的框架。该研究涉及五种知名的聚类算法,最成功的分类算法之一,以及一组10个特征选择技术。本研究采用了两个主要的实验阶段,第一阶段侧重于预测学生的学习技能,第二阶段侧重于预测学生的水平。实验涉及两个数据集,并提到了它们的来源。研究表明,通过将所选择的技术应用于数据集,聚类和预测任务取得了成功。研究表明,增强k-means (EKM)聚类算法准确率最高,进化计算方法是贡献最大的特征选择方法。©2023世界科学出版公司。
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引用次数: 1
A Hierarchical Feature Ensemble Deep Learning Approach for Software Defect Prediction 软件缺陷预测的层次特征集成深度学习方法
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-24 DOI: 10.1142/s0218194023500079
Shenggang Zhang, Shujuan Jiang, Yue Yan
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引用次数: 0
Identifying Notable Tuples in Multi-Concept Web Tables 识别多概念Web表中值得注意的元组
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-24 DOI: 10.1142/s0218194023500080
Yihai Xi, Ning Wang
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引用次数: 0
On the Succinctness of Modal μ-Calculus Based on Covariant-Contravariant Refinement 基于协变-逆变细化的模态μ微积分简洁性研究
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-23 DOI: 10.1142/s0218194023500067
Huili Xing
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引用次数: 0
Three Approaches for Detecting Direct Output Cheating in Program Online Judge Systems 程序在线裁判系统中直接输出作弊的三种检测方法
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-17 DOI: 10.1142/s0218194023500043
Jing Qiu, Chunmei Shi, Yuehua Lv
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引用次数: 0
Person Event Detection Method in Computer Discipline Domain Based on BiGRU and CNN in Series 基于BiGRU和CNN串联的计算机学科领域人物事件检测方法
IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-02-16 DOI: 10.1142/s0218194023500055
Xiaoming Zhang, Xingsha Yang, Huiyong Wang
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引用次数: 0
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International Journal of Software Engineering and Knowledge Engineering
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