Teaching Reform and Practice of Software Engineering Graduate Students by Implanting Scientific Research Literacy into Classroom Teaching Content

How to cultivate and improve graduate students’innovation and practical abilities in software engineering through the curriculum and teaching mode reform is an important issue.In this paper,a research literacy-driven teaching mode is proposed.It assists in the reform of the curriculum system.Then,a curriculum system construction framework is proposed,which involves the integration of research literacy into classroom teaching content.It assists in the cultivation of research abilities of graduate students in software engineering.The effectiveness of the curriculum reform is demonstrated through questionnaire surveys and research outcomes of the project team.The results show that the methods explored in this paper can serve as valuable references for future course design and teaching practice in computer-related courses for graduates.

Software Reusability Classification and Predication Using Self-Organizing Map (SOM)

Due to rapid development in software industry, it was necessary to reduce time and efforts in the software development process. Software Reusability is an important measure that can be applied to improve software development and software quality. Reusability reduces time, effort, errors, and hence the overall cost of the development process. Reusability prediction models are established in the early stage of the system development cycle to support an early reusability assessment. In Object-Oriented systems, Reusability of software components (classes) can be obtained by investigating its metrics values. Analyzing software metric values can help to avoid developing components from scratch. In this paper, we use Chidamber and Kemerer (CK) metrics suite in order to identify the reuse level of object-oriented classes. Self-Organizing Map (SOM) was used to cluster datasets of CK metrics values that were extracted from three different java-based systems. The goal was to find the relationship between CK metrics values and the reusability level of the class. The reusability level of the class was classified into three main categorizes (High Reusable, Medium Reusable and Low Reusable). The clustering was based on metrics threshold values that were used to achieve the experiments. The proposed methodology succeeds in classifying classes to their reusability level (High Reusable, Medium Reusable and Low Reusable). The experiments show how SOM can be applied on software CK metrics with different sizes of SOM grids to provide different levels of metrics details. The results show that Depth of Inheritance Tree (DIT) and Number of Children (NOC) metrics dominated the clustering process, so these two metrics were discarded from the experiments to achieve a successful clustering. The most efficient SOM topology [2 × 2] grid size is used to predict the reusability of classes.

Self-experience of buried seeds at auricular points in depressive patients with sleep disorder: a qualitative research

Objective To explore the self-experience of burying seeds at auricular points in depressive patients with sleep disorder,so as to seek possible approaches to improve the quality of care.Methods Eleven patients involved in a three-week randomized controlled clinical trial were purposefully interviewed by the experienced,qualified counselor.The process of thematic analysis was applied in this study,the self-experience was discussed and recorded,transcribed,and analyzed accordingly.Results Four themes related to self-experience were extracted,these included the deficiency in relevant support,passive acceptance,distrust,expectation and further advice.Conclusion There was an urgent demand of humane care and emotional support,which might improve compliance of the treatment to some extent in terms of health education.Additionally,medical practitioners should provide the patient with comprehensive support,professional health education,as well as standardize training program for TCM operator and control the operation’s quality.

Agile Software Development Methodologies: Survey of Surveys

Agile software design and development methodologies have been gaining rigorous attention in the software engineering research community since their early introduction in the mid-nineties in addition to being highly adopted by the software development industry. In the last 15 years, an excessive number of research studies have been conducted on agile methods, a great number of notable methods have been proposed and various surveys have been presented by many researchers. In this study, the authors intend to conduct a literature survey study of the surveys of the different agile methodologies ranging from January 2000 to December 2015 using an intuitive research methodology called “Compare and Review” (CR). Furthermore, these survey papers were classified into four major categories according to their area of study. Additionally, the newly proposed agile methodologies that have not been addressed yet in any other literature review were reviewed and compared in terms of where the changes that they proposed lay on the SDLC.

Analyzing the Impact of Different Factors on Software Cost Estimation in Today’s Scenario

Software cost estimation is a main concern of the software industry. However, the fact is also that in today’s scenario, software industries are more interested in other issues like new technologies in the market, shorter development time, skill shortage etc. They are actually deviating from critical issues to routine issues. Today, people expect high quality products at very low costs and same is the goal of software engineering. An accuracy in software cost estimation has a direct impact on company’s reputation and also affects the software investment decisions. Accurate cost estimation can minimize the unnecessary costs and increase the productivity and efficiency of the company. The objective of this paper is to identify the existing methods of software cost estimation prevailing in the market and analyzing some of the important factors impacting the software cost estimation process. In order to achieve the objective, a survey was conducted to find out: ● Nature of projects that companies prefer. ● Impact of training on employees in software cost estimation. ● How many people review the estimated cost? ● How much risk buffer the company keeps for future prospects?

国际基于自我决定理论的儿童青少年体育活动研究现状与展望

为考察国际基于自我决定理论的儿童青少年体育活动研究的发展脉络和最新进展,运用科学计量学中的关键词共现、关键词聚类和可视化技术等方法对2000—2022年Web of Science核心合集数据库相关研究文献进行分析。结果发现:中国在亚洲国家中产出领先;历年研究呈现从宏观到微观、从单一到多重、从横断到纵横结合、从解决到预防、从验证到应用、从开拓到回顾的发展趋势,最新研究体现出重视结构化问卷、研究设计联系实际情境和纳入各种心理学变量的特点;已有研究存在针对特殊群体、干预的作用路径、系统化干预项目设计方法等方面的局限。对我国相关研究的启示:对热度仍持续的主题继续优化研究设计;对基本达到饱和的主题结合实际推进本土研究;利用多重变量关系路径、多元干预模型、跨情境研究、横向与纵向相结合等开展实证研究;编制、修订中国版的相关问卷。

自修复弹性体材料的研究进展及应用

综述了基于外援型和本征型2种体系的弹性体材料自修复机理和自修复技术在弹性体材料中的应用,并展望了自修复弹性体材料在载人航天领域的应用前景。

油田开发中精细油藏描述成果平台建设研究

精细油藏描述是油田开发最基础的工作之一,历来受到研究者的高度重视。目前精细油藏描述中存在的突出问题主要包括研究成果继承性差、基础资料存储不规范、专业软件需求缺口大、成果应用需加强和成果存储管理不规范等5方面。文章通过精细油藏描述成果平台建设,可以从基础数据的整理准备、专业软件共享和协同研究、成果标准规范化存储管理等方面解决上述问题。精细油藏描述数据管理主要包括项目整体数据信息的统计和分析、项目研究数据的整理和统计、成果平台与其他数据平台的对接和数据调用等。精细油藏描述协同研究过程主要包括专业软件的平台实现和使用、不同专业软件之间中间成果的转换和调用、研究工作的自动化实现和完成。精细油藏描述成果存储和管理主要包括成果上传管理中格式的统一规范、成果存储上传中的质量控制、成果生产应用中的跟踪和更新。

Artificial Intelligence Self-Organising (AI-SON) Frameworks for 5G-Enabled Networks: A Review

The fifth generation (5G) networks will support the rapid emergence of Internet of Things (IoT) devices operating in a heterogeneous network (HetNet) system. These 5G-enabled IoT devices will result in a surge in data traffic for Mobile Network Operators (MNOs) to handle. At the same time, MNOs are preparing for a paradigm shift to decouple the control and forwarding plane in a Software-Defined Networking (SDN) architecture. Artificial Intelligence powered Self-Organising Networks (AI-SON) can fit into the SDN architecture by providing prediction and recommender systems to minimise costs in supporting the MNO’s infrastructure. This paper presents a review report on AI-SON frameworks in 5G and SDN. The review considers the dynamic deployment and functions of the AI-SON frameworks, especially for SDN support and applications. Each module in the frameworks was discussed to ascertain its relevance based on the context of AI-SON and SDN integration. After examining each framework, the identified gaps are summarised as open issues for future works.

基于Web of Science数据库的老年健康素养研究文献计量分析

目的 分析Web of Science数据库中老年健康素养相关文献的分布情况,探讨其研究现状和热点,为老年人的健康管理和公共卫生政策提供科学依据。方法 通过使用VOSviewer可视化软件,对相关文献进行发文量、作者分布、国家/地区分布以及关键词聚类等方面的分析。结果 共有2 018篇文献被纳入本研究。总体发文量呈上升趋势,特别2021年发文量达到高峰。美国、澳大利亚、中国是该领域发文量较多的国家。该领域缺乏核心作者群体,且研究分布相对分散。Mental health、mental health literacy、COVID-19、depression为热点关键词。研究热点主题分别是心理健康素养、电子健康素养、老年慢性病、新型冠状病毒肺炎与老年健康素养。结论 未来,我们需要进一步深化和拓宽研究,形成具有引领性的研究方向和核心作者团队。从多学科和多角度出发,我们将共同探讨老年健康素养的影响因素和提升策略,以推动健康老龄化的研究进程。

基于CiteSpace软件的国内外矿业遗产的研究进展与展望

本文运用知识图谱理论,借助CiteSpace软件对国内外近十年以“矿业遗产(mining heritage)”为关键词所检索到的相关研究文献进行数据和信息的可视化分析,绘制研究关键词共现图谱、关键词突现图谱,进一步通过文献总结把握研究热点、预测演化趋势,从而推进矿业遗产研究的理论进步与实践优化。通过分析可知,矿业遗产的研究聚焦在其生态修复、价值评价、地下空间综合利用和旅游开发模式等方面。本文认为矿业遗产未来应从以下几个方面展开深入研究:加强矿业遗产生态环境测评、预警、监管的机制设计和实施管理研究;加强矿业遗产价值评估的标准化研究,推动建立“国家矿业遗产名录”;研究矿业遗产旅游开发与既有文化旅游事业的融合机制和融合模式;体系化地研究矿业遗产的旅游开发策略;加强与矿业遗产有关的跨区域、跨产业类型的遗产认知,如煤炭+运输工业遗产廊道等。

基于自注意力机制神经机器翻译的软件缺陷自动修复方法

循环神经网络对于代码序列数据有着良好的处理能力,软件缺陷修复的补丁生成模型大多采用循环神经网络实现.然而,基于循环神经网络的补丁生成模型在处理代码序列中长距离依赖问题时仍然具有局限性,其修复成功率和修复效率较低.针对此问题,提出一种基于自注意力神经机器翻译的软件缺陷自动修复方法(Self-attention Neural machine translation based automatic software Repair,SNRepair).首先,为有效缓解源码中的未登录词问题,对数据集引入子词切分技术进行预处理;其次,为解决源代码中棘手的长距离依赖问题并更充分地利用局部信息,构建融合局部建模的Transformer程序补丁生成模型;然后,采用缺陷自动定位技术定位缺陷语句位置,利用参数优化后的Transformer补丁生成模型生成候选补丁;最后,运行测试用例验证候选补丁.在具有395个真实Java软件缺陷的Defects4J缺陷库上实验评估,结果表明SNRepair方法与对比方法比较,修复成功率和修复效率更高.

实证研究对中国学前教育学自主知识体系建构的贡献与展望

中国学前教育学自主知识体系的构建与完善,对于推动学前教育科学决策、高质量发展以及教育强国目标的实现具有重要影响。回顾中国学前教育研究的百年历程,聚焦实践问题的流变并开展实证研究,始终是该领域研究的原始基质和重要特征。研究围绕“儿童发展”“学前教育”“学前教育事业发展”三个核心主题,选取自1919年以来的中国学前教育学实证研究文献,共1 619篇论文和17部著作。通过对文献的系统性梳理和分析,提炼了实证研究的主要知识产出,并从自主知识体系建构的视角出发,对现有实证研究的贡献与问题进行剖析和反思。基于此,提出了学前教育学实证研究的未来展望,以期为该领域的持续发展和创新提供参考。

2003—2023年土木工程专业研究生培养研究现状与展望

土木工程专业研究生培养对推动行业的技术创新和可持续发展具有至关重要的影响。该文采用CiteSpace软件,对2003—2023年中国知网发布的192篇土木工程专业研究生培养相关文献进行可视化分析。通过深入探讨该领域的发展历程,研究发现,目前的核心热点包括科研创新、工程实践、国际视野和跨学科培养等方面。此外,还强调作者间交流协作的重要性,并提出持续优化培养方法,特别是在扩大研究团队规模和促进跨地域合作方面的迫切需求,从而为土木工程专业研究生培养策略的优化提供指导。

基于双向编码表示转换的双模态软件分类模型

针对已有方法在软件分类方面只考虑单一分类因素和精确率较低的不足,提出基于双向编码表示转换(BERT)的双模态软件分类方法.该方法遵循最新的国家标准对软件进行分类,通过集成基于代码的BERT(CodeBERT)和基于掩码语言模型的纠错BERT(MacBERT)双向编码的优势,其中CodeBERT用于深入分析源码内容,MacBERT处理文本描述信息如注释和文档,利用这2种双模态信息联合生成词嵌入.结合卷积神经网络(CNN)提取局部特征,通过提出的交叉自注意力机制(CSAM)融合模型结果,实现对复杂软件系统的准确分类.实验结果表明,本文方法在同时考虑文本和源码数据的情况下精确率高达93.3%,与从奥集能和gitee平台收集并处理的数据集上训练的BERT模型和CodeBERT模型相比,平均精确率提高了5.4%.这表明了双向编码和双模态分类方法在软件分类中的高效性和准确性,证明了提出方法的实用性.

自主选题联合递进式学习法在医学本科生科研教学中的应用

目的探讨自主选题联合递进式学习法在医学本科生科研教学中的应用效果。方法选取南京医科大学2020级38名临床医学专业本科生为研究对象,采用抽签法随机分为实验组(19名)和对照组(19名)。于2022年10月1日至2023年4月30日,对两组学生分别进行科研教学。实验组采取自主选题联合递进式学习法。在指导老师的协助下,学生自主选题并进行口头汇报和集体讨论,根据新的问题持续改进。对照组采用常规授课教学法,由指导老师定期开展学术讲座。教学前后分别进行科研能力考核。教学结束后对教学效果进行满意度调查。观察指标包括教学前后科研能力考核评分、教学效果满意度。结果科研教学前,实验组与对照组学生的科研能力考核评分比较,差异无统计学意义(P>0.05)。实验组与对照组学生教学后评分均高于教学前,差异有统计学意义(P<0.05)。实验组学生教学后评分提高优于对照组学生,差异有统计学意义(P<0.05)。实验组学生对科研教学的总满意度高于对照组学生,但差异无统计学意义(P>0.05)。结论自主选题联合递进式学习法在医学本科生科研教学中具有积极作用,有助于培养学生的科研能力。

行为改变轮理论的国内外应用现状

本研究概述行为改变轮理论在国内外的应用现状,探讨其在临床护理领域中的应用与启示,以期为国内研究者应用该理论提供参考。通过检索国内外行为改变轮理论相关研究文献,从行为改变轮理论的内中外3层框架、9大功能、7大政策、国内外应用效果及启示等方面进行综述。发现基于行为改变轮理论的干预方案对患者的依从性、自我管理、疾病相关知识和正向情绪都具有良好的结局。行为改变轮理论为行为改变干预方案的构建提供系统的理论指导,对于临床护理干预有重要的参考价值.

新工科下软件工程应用能力培养研究与实践

针对地方高校培养软件工程应用型人才适应行业产业需要,分析新工科下软件工程应用能力新需求,研究应用能力具体内容,提出层次性多维能力框架,“五共同”构建多元主体协同人才培养新模式及机制,“四对接”搭建软件工程能力培养体系,“三位一体”开展创新创业教育,“三环节”创新学科交叉融合培养,“1中心3持续”完善人才培养质量评价与保障新体系。通过改革与实践,人才培养达到预期目标,适应软件工程行业产业人才需求。

父母对青少年抑郁症患者非自杀性自伤行为心理体验的质性研究

目的探讨父母对青少年抑郁症患者非自杀性自伤行为的心理感受,为制定针对性家庭干预措施提供参考。方法对15名经历过非自杀性自伤行为的住院青少年抑郁症患者的父母进行访谈,采用Colaizzi 7步分析法分析、归纳、提炼主题。结果青少年抑郁症患者父母对孩子非自杀性自伤行为的心理体验归纳为5个主题:自伤前部分重心聚焦工作,忽视孩子情感需求;暴露初期言语过激无法自己,抱怨自责情感脆弱;治疗前期内心焦虑思绪徘徊,害怕暴露不愿求医;治疗期无奈降低自身期望,努力改变迎合孩子;恢复期思想矛盾决择困难,担心孩子未来成长。结论青少年抑郁症患者父母对孩子非自杀性自伤行为心理体验复杂,家庭因素对青少年的行为有重要影响,应引导父母给孩子提供正确的家庭支持。

社区老年人慢性肌肉骨骼疼痛自我管理行为意向的质性研究

目的 探讨社区老年人自我管理慢性肌肉骨骼疼痛的行为意向,为制订改善老年人自我管理行为干预措施提供依据。方法 应用描述性质性研究方法,采用目的抽样法,选取2023年2月—4月广州市某社区卫生服务中心就诊的13例65岁及以上慢性肌肉骨骼疼痛患者,基于计划行为理论进行面对面半结构式访谈。应用NVivo12软件和内容分析法分析访谈资料并提炼主题。结果 提炼出社区老年人自我管理慢性肌肉骨骼疼痛行为意向3个主题,包括:自我管理疼痛行为态度存在差异,自我管理疼痛主观规范支持不足,自我管理疼痛感知行为控制能力不强。结论 社区慢性肌肉骨骼疼痛老年人自我管理疼痛的行为意向有待提升,应制订针对性的干预措施改善其自我管理行为,提高其生活质量。