Computer software has been becoming more and more c om plex with the development of hardware. Thus, how to efficiently develop extensib le, maintainable and adaptable software occurs to be an urgent problem. The comp ...Computer software has been becoming more and more c om plex with the development of hardware. Thus, how to efficiently develop extensib le, maintainable and adaptable software occurs to be an urgent problem. The comp onent-based software development technique is a better method to solve the prob lem. In this paper, we first discuss the concept, description method and some fa miliar styles of software architecture, and then analyze the merits of using the software architecture to guide the software development. We also present a gene ral design method for component. Its applications are finally provided.展开更多
In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing—house of quality is designed to eva...In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing—house of quality is designed to evaluate the maturity degree of the solution, and the evaluation results can help to manage and control the development process. Furthermore, a fuzzy evaluation method based on the minimum deviation is proposed to deal with the fuzzy information. The quantitative evaluation result of the maturity degree can be calculated by optimizing the semantic discount factor aim for the minimum deviation. Finally, this model is illustrated and analyzed by an example study of the aircraft collaborative design software.展开更多
Software testing is a very important phase of the software development process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. In thi...Software testing is a very important phase of the software development process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. In this paper the problem of optimal allocation of the software testing cost is studied. There exist several models focused on the development of software costs measuring the number of software errors remaining in the software during testing. The purpose of this paper is to use these models to formulate the optimization problems of resource allocation: Minimization of the total number of software errors remaining in the system. On the assumption that a software project consists of some independent modules, the presented approach extends previous work by defining new goal functions and extending the primary assumption and precondition.展开更多
The crowdsourcing, as a service pattern in cloud environment, usually aims at the cross-disciplinary cooperation and creating value together with customers and becomes increasingly prevalent. Software process, as a ki...The crowdsourcing, as a service pattern in cloud environment, usually aims at the cross-disciplinary cooperation and creating value together with customers and becomes increasingly prevalent. Software process, as a kind of software development and management strategy, is defined as a series of activities implemented by software life cycle and provides a set of rules for various phases of the software engineering to achieve the desired objectives. With the current software development cycle getting shorter, facing more frequent needs change and fierce competition, a new resource management pattern is proposed to respond to these issues agilely by introducing the crowdsourcing service to agile software development for pushing the agility of software process. Then, a user-oriented resource scheduling method is proposed for rational use of various resources in the process and maximizing the benefits of all parties. From the experimental results, the proposed pattern and resources scheduling method reduces greatly the resource of project resource manager and increases the team resource utilization rate, which greatly improves the agility of software process and delivers software products quickly in crowdsourcing pattern.展开更多
面向开源项目推荐开发人员对开源生态建设具有重要意义。区别于传统软件开发,开源领域的开发者、项目、组织及相互关系体现了开放式协作项目的特点,而它们蕴含的语义有助于精准推荐开源项目的开发者。因此,提出一种基于协作贡献网络(CCN...面向开源项目推荐开发人员对开源生态建设具有重要意义。区别于传统软件开发,开源领域的开发者、项目、组织及相互关系体现了开放式协作项目的特点,而它们蕴含的语义有助于精准推荐开源项目的开发者。因此,提出一种基于协作贡献网络(CCN)的开发者推荐(DRCCN)方法。首先,利用开源软件(OSS)开发者、OSS项目、OSS组织之间的贡献关系构建CCN;其次,基于CCN构建一个3层深度的异构GraphSAGE(Graph SAmple and aggreGatE)图神经网络(GNN)模型,预测开发者节点和开源项目节点之间的链接,从而产生相应的嵌入对;最后,根据预测结果,采用K最近邻(KNN)算法完成开发者推荐。在GitHub数据集上训练和测试模型的实验结果表明,相较于序列推荐的对比学习模型CL4SRec(Contrastive Learning for Sequential Recommendation),DRCCN在精确率、召回率和F1值这3个指标上分别提升了约10.7%、2.6%和4.2%。因此,所提模型可以为开源社区项目的开发者推荐提供重要的参考依据。展开更多
目的为提高医院内骨质疏松性骨折(osteoporotic fracture,OF)患者诊疗质量和管理效率,本研究自主构建一种医院内自动抓取相关资料的“骨质疏松性骨折数据库”,数据库内置管理流程相关的智能化功能模块。在此基础上,分析该数据库在实际...目的为提高医院内骨质疏松性骨折(osteoporotic fracture,OF)患者诊疗质量和管理效率,本研究自主构建一种医院内自动抓取相关资料的“骨质疏松性骨折数据库”,数据库内置管理流程相关的智能化功能模块。在此基础上,分析该数据库在实际场景应用的结果和有效性。方法构建院内封闭式多源异构数据整合的专病数据库,数据库接口可后台对接医院的信息系统(hospital information system,HIS)、影像归档和通信系统(picture archiving and communication systems,PACS)、实验室信息系统(laboratory information system,LIS)等固有数据平台,并自动运用自然语言处理(natural language processing,NLP)技术识别及整合OF患者相关信息。运用该数据库纳入2022年6月至2024年6月苏州大学附属第二医院收治的50岁以上、4部位骨折(椎体、髋部、肱骨近端和桡骨远端)的12754例患者,并对患者信息进行智能化管理应用分析。结果该数据库可按照纳入条件自动获得12754例患者数据,并自动收集患者基本资料、病历或影像检查的骨折记录、检验检查结果、实时治疗方案等407个结构化字段信息。数据库可自动完成患者的骨质疏松相关数据识别(骨折部位、骨密度值、骨代谢相关指标、抗骨质疏松药使用)、院内转科及经治医生追踪、院内多次骨折记录检索。当患者确定纳入管理,数据库可实现本次骨折后2年档案构建、辅助宣教、智能随访、院内门诊电脑同屏显示等智能化管理功能。结论“骨质疏松性骨折数据库”拥有便捷的OF患者信息抓取功能,可实时了解相应管理的基础数据,可自动完成规定时间内设定管理的指导及提醒。该数据库有院内多源异构数据整合的专病数据库特点,为OF精准化、智能化、便捷化管理提供新的思路和有效工具。展开更多
在万物互联的云时代,云应用程序编程接口(API)是数字经济建设和服务化软件开发的关键数字基础设施。然而,云API数量的持续增长给用户决策和推广带来挑战,设计有效的推荐方法成为亟待解决的重要问题。现有研究多利用调用偏好、搜索关键...在万物互联的云时代,云应用程序编程接口(API)是数字经济建设和服务化软件开发的关键数字基础设施。然而,云API数量的持续增长给用户决策和推广带来挑战,设计有效的推荐方法成为亟待解决的重要问题。现有研究多利用调用偏好、搜索关键词或二者结合进行建模,主要解决为给定Mashup推荐合适云API的问题,未考虑开发者对个性化高阶互补云API的实际需求。该文提出一种基于个性化张量分解的高阶互补云API推荐方法(Personalized Tensor Decomposition based High-order Complementary cloud API Recommendation,PTDHCR)。首先,将Mashup与云API之间的调用关系,以及云API与云API之间的互补关系建模为三维张量,并利用RECAL张量分解技术对这两种关系进行共同学习,以挖掘云API之间的个性化非对称互补关系。然后,考虑到不同互补关系对推荐结果的影响程度不同,构建个性化高阶互补感知网络,充分利用Mashup、查询云API以及候选云API的多模态特征,动态计算Mashup对不同查询和候选云API之间互补关系的关注程度。在此基础上,将个性化互补关系拓展到高阶,得到候选云API与查询云API集合的整体个性化互补性。最后,利用两个真实云API数据集进行实验,结果表明,相较于传统方法,PTDHCR在挖掘个性化互补关系和推荐方面具有较大的优势。展开更多
文摘Computer software has been becoming more and more c om plex with the development of hardware. Thus, how to efficiently develop extensib le, maintainable and adaptable software occurs to be an urgent problem. The comp onent-based software development technique is a better method to solve the prob lem. In this paper, we first discuss the concept, description method and some fa miliar styles of software architecture, and then analyze the merits of using the software architecture to guide the software development. We also present a gene ral design method for component. Its applications are finally provided.
基金supported by the National Natural Science Foundation for Youth of China(61802174)the Natural Science Foundation for Youth of Jiangsu Province(BK20181016)+1 种基金the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(18KJB520019)the Scientific Research Foundation of Nanjing Institute of Technology of China(YKJ201614)
文摘In order to assure quality and control process in the development of the aircraft collaborative design software, a maturity assessment model is proposed. The requirements designing—house of quality is designed to evaluate the maturity degree of the solution, and the evaluation results can help to manage and control the development process. Furthermore, a fuzzy evaluation method based on the minimum deviation is proposed to deal with the fuzzy information. The quantitative evaluation result of the maturity degree can be calculated by optimizing the semantic discount factor aim for the minimum deviation. Finally, this model is illustrated and analyzed by an example study of the aircraft collaborative design software.
文摘Software testing is a very important phase of the software development process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. In this paper the problem of optimal allocation of the software testing cost is studied. There exist several models focused on the development of software costs measuring the number of software errors remaining in the software during testing. The purpose of this paper is to use these models to formulate the optimization problems of resource allocation: Minimization of the total number of software errors remaining in the system. On the assumption that a software project consists of some independent modules, the presented approach extends previous work by defining new goal functions and extending the primary assumption and precondition.
基金Projects(61304184,61672221)supported by the National Natural Science Foundation of ChinaProject(2016JJ6010)supported by the Hunan Provincial Natural Science Foundation of China
文摘The crowdsourcing, as a service pattern in cloud environment, usually aims at the cross-disciplinary cooperation and creating value together with customers and becomes increasingly prevalent. Software process, as a kind of software development and management strategy, is defined as a series of activities implemented by software life cycle and provides a set of rules for various phases of the software engineering to achieve the desired objectives. With the current software development cycle getting shorter, facing more frequent needs change and fierce competition, a new resource management pattern is proposed to respond to these issues agilely by introducing the crowdsourcing service to agile software development for pushing the agility of software process. Then, a user-oriented resource scheduling method is proposed for rational use of various resources in the process and maximizing the benefits of all parties. From the experimental results, the proposed pattern and resources scheduling method reduces greatly the resource of project resource manager and increases the team resource utilization rate, which greatly improves the agility of software process and delivers software products quickly in crowdsourcing pattern.
文摘面向开源项目推荐开发人员对开源生态建设具有重要意义。区别于传统软件开发,开源领域的开发者、项目、组织及相互关系体现了开放式协作项目的特点,而它们蕴含的语义有助于精准推荐开源项目的开发者。因此,提出一种基于协作贡献网络(CCN)的开发者推荐(DRCCN)方法。首先,利用开源软件(OSS)开发者、OSS项目、OSS组织之间的贡献关系构建CCN;其次,基于CCN构建一个3层深度的异构GraphSAGE(Graph SAmple and aggreGatE)图神经网络(GNN)模型,预测开发者节点和开源项目节点之间的链接,从而产生相应的嵌入对;最后,根据预测结果,采用K最近邻(KNN)算法完成开发者推荐。在GitHub数据集上训练和测试模型的实验结果表明,相较于序列推荐的对比学习模型CL4SRec(Contrastive Learning for Sequential Recommendation),DRCCN在精确率、召回率和F1值这3个指标上分别提升了约10.7%、2.6%和4.2%。因此,所提模型可以为开源社区项目的开发者推荐提供重要的参考依据。
文摘目的为提高医院内骨质疏松性骨折(osteoporotic fracture,OF)患者诊疗质量和管理效率,本研究自主构建一种医院内自动抓取相关资料的“骨质疏松性骨折数据库”,数据库内置管理流程相关的智能化功能模块。在此基础上,分析该数据库在实际场景应用的结果和有效性。方法构建院内封闭式多源异构数据整合的专病数据库,数据库接口可后台对接医院的信息系统(hospital information system,HIS)、影像归档和通信系统(picture archiving and communication systems,PACS)、实验室信息系统(laboratory information system,LIS)等固有数据平台,并自动运用自然语言处理(natural language processing,NLP)技术识别及整合OF患者相关信息。运用该数据库纳入2022年6月至2024年6月苏州大学附属第二医院收治的50岁以上、4部位骨折(椎体、髋部、肱骨近端和桡骨远端)的12754例患者,并对患者信息进行智能化管理应用分析。结果该数据库可按照纳入条件自动获得12754例患者数据,并自动收集患者基本资料、病历或影像检查的骨折记录、检验检查结果、实时治疗方案等407个结构化字段信息。数据库可自动完成患者的骨质疏松相关数据识别(骨折部位、骨密度值、骨代谢相关指标、抗骨质疏松药使用)、院内转科及经治医生追踪、院内多次骨折记录检索。当患者确定纳入管理,数据库可实现本次骨折后2年档案构建、辅助宣教、智能随访、院内门诊电脑同屏显示等智能化管理功能。结论“骨质疏松性骨折数据库”拥有便捷的OF患者信息抓取功能,可实时了解相应管理的基础数据,可自动完成规定时间内设定管理的指导及提醒。该数据库有院内多源异构数据整合的专病数据库特点,为OF精准化、智能化、便捷化管理提供新的思路和有效工具。
文摘在万物互联的云时代,云应用程序编程接口(API)是数字经济建设和服务化软件开发的关键数字基础设施。然而,云API数量的持续增长给用户决策和推广带来挑战,设计有效的推荐方法成为亟待解决的重要问题。现有研究多利用调用偏好、搜索关键词或二者结合进行建模,主要解决为给定Mashup推荐合适云API的问题,未考虑开发者对个性化高阶互补云API的实际需求。该文提出一种基于个性化张量分解的高阶互补云API推荐方法(Personalized Tensor Decomposition based High-order Complementary cloud API Recommendation,PTDHCR)。首先,将Mashup与云API之间的调用关系,以及云API与云API之间的互补关系建模为三维张量,并利用RECAL张量分解技术对这两种关系进行共同学习,以挖掘云API之间的个性化非对称互补关系。然后,考虑到不同互补关系对推荐结果的影响程度不同,构建个性化高阶互补感知网络,充分利用Mashup、查询云API以及候选云API的多模态特征,动态计算Mashup对不同查询和候选云API之间互补关系的关注程度。在此基础上,将个性化互补关系拓展到高阶,得到候选云API与查询云API集合的整体个性化互补性。最后,利用两个真实云API数据集进行实验,结果表明,相较于传统方法,PTDHCR在挖掘个性化互补关系和推荐方面具有较大的优势。
