2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)最新文献

ERP Low-Code Cloud Development ERP低代码云开发

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930146

Long-ye Tang

引用次数: 1

A Method for Mining API Call Pattern Using Sample Codes 使用示例代码挖掘API调用模式的方法

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930263

ZiHao Xia, Linhui Zhong, Chaoyi Yang, JunJie Mo, RongJing Gao, HaoRan Chen

{"title":"A Method for Mining API Call Pattern Using Sample Codes","authors":"ZiHao Xia, Linhui Zhong, Chaoyi Yang, JunJie Mo, RongJing Gao, HaoRan Chen","doi":"10.1109/ICSESS54813.2022.9930263","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930263","url":null,"abstract":"In the process of software development, developers usually use API to improve development efficiency and code reuse rate. API provides developers with a set of accessible services, and developers do not need to care about the internal source code of API, which greatly reduces the workload of developers. Due to the increasing scale and complexity of modern software, more and more APIs are used by developers in software. In order to solve the problem of insufficient recall rate in up miner, this paper proposes an API call pattern mining method based on examples, be miner, which collects data from some Q&A websites, such as stack Overflow, which extracts the API call sequences from some code examples, uses these API call sequences to mine the API call patterns that appear less frequently in the project, and does not produce a large number of redundant results. The experimental results show that the API call pattern mining method based on example can effectively mine the call patterns that appear less frequently in the project from the source program, and has higher recall rate and F-measure value than up-miner.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-Domain Authentication Scheme for IoT Devices Based on BlockChain 基于区块链的物联网设备跨域认证方案

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930157

Wenzheng Li, Shengnan Zhang, Zhu Chen, Liu Sen

{"title":"Cross-Domain Authentication Scheme for IoT Devices Based on BlockChain","authors":"Wenzheng Li, Shengnan Zhang, Zhu Chen, Liu Sen","doi":"10.1109/ICSESS54813.2022.9930157","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930157","url":null,"abstract":"With the popularity of Internet of Things (IoT) technology, the scale of IoT is gradually becoming huge and demand-driven to form multi-domain IoT, and the demand for cross-domain access of devices in multi-domain scenarios has greatly increased. Secure cross-domain authentication is an important step in securing multi-domain IoT. The current cross-domain authentication architecture for IoT devices has limitations such as single point of failure, low authentication efficiency, poor scalability and other limitations. To address these problems, this paper designs a blockchain-based cross-domain authentication scheme for IoT terminals, which adopts an authentication architecture based on a combination of blockchain and edge computing technology to eliminate the problems of traditional cross-domain authentication for IoT devices and achieve distributed authentication. Considering that IoT devices have the characteristics of heterogeneity, massiveness, and limited resources, a lightweight and secure certificateless signature scheme is introduced in the cross-domain authentication process, eliminating complex certificate management and key escrow, and achieving secure and efficient cross-domain authentication of IoT terminals.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Modeling Data Requirements for Machine Learning Systems 机器学习系统的建模数据需求

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930317

Wenting Shao, Xi Wang

{"title":"Modeling Data Requirements for Machine Learning Systems","authors":"Wenting Shao, Xi Wang","doi":"10.1109/ICSESS54813.2022.9930317","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930317","url":null,"abstract":"As machine learning technology penetrates into various fields, how to ensure the quality of machine learning systems becomes an urgent problem. Current requirements modeling methods for machine learning systems are still in their infancy and rarely include data requirements modeling. In this paper, we propose a two-layer data requirements modeling method for machine learning systems. The bottom layer is the learning context used to describe the elements of the machine learning system and environment and relationships between them. A feature-oriented domain analysis approach is used to describe the learning context with feature models, and give the definitions, relationships and constraints of features. The upper layer is a set of property-based specifications. The definition of features and the descriptions of feature relationships provide the basis for the construction of properties. We derive a set of properties to be satisfied on the basis of the constructed learning context, and based on this we give descriptions and specifications of the data requirements for the machine learning systems. To better demonstrate the approach, we use an example of a self-driving system throughout the article.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126797661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of Knowledge Graph on Debris Flow Prevention Domain 泥石流防治领域知识图谱的构建

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930191

Yuzhi Zheng, Bin Wen

{"title":"Construction of Knowledge Graph on Debris Flow Prevention Domain","authors":"Yuzhi Zheng, Bin Wen","doi":"10.1109/ICSESS54813.2022.9930191","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930191","url":null,"abstract":"Debris flow disaster breaks out frequently and causes serious harm. Therefore, it is of great significance to construct of debris flow prevention knowledge graph to work on disaster prevention and mitigation. Aiming at the problem that the cognitive knowledge correlation in the field of debris flow disasters prevention is not strong, this paper not only proposes a method to construct a knowledge graph of debris flow disasters prevention from the data layer, technology layer, and application layer but also divides debris flow theoretical knowledge, disaster prevention strategies, debris flow disaster events and debris flow method models into four entity types and analysis correlation on the relationship between the four entity types. BiLSTM-CRF method and template matching method are used for knowledge extraction of the above four entities. The experiment result shows that 1233 debris flow entities and 2797 entity relationships are extracted. The accuracy rate of the extracted debris flow entities is about 80%. Finally, the neo4j graph database is used to store the extracted entities and relationships, and a knowledge graph of debris flow prevention for disaster prevention is constructed, which realizes the query and retrieval of debris flow prevention and control knowledge.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116214335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quality Outlier Detection for Tobacco Based on Robust Sparse PCA: Advantages and Limitations 基于鲁棒稀疏PCA的烟草质量异常点检测:优点与局限性

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930311

J. Huo, Changtong Lu, Yongfeng Yang, Hong-Mei Guo, Chenggang Li, Qian Li, Xuebin Zhao, Huaiqi Li

{"title":"Quality Outlier Detection for Tobacco Based on Robust Sparse PCA: Advantages and Limitations","authors":"J. Huo, Changtong Lu, Yongfeng Yang, Hong-Mei Guo, Chenggang Li, Qian Li, Xuebin Zhao, Huaiqi Li","doi":"10.1109/ICSESS54813.2022.9930311","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930311","url":null,"abstract":"Quality control is important for tobacco industry and tobacco leaf is the source material for cigarettes product. For a certain brand’s products, without known standard samples as center, it is difficult to detect outliers of unknown groups with classical PCA. Although classical PCA has been widely used in NIRS for tobacco, the accuracy of classical PCA can not satisfy the industrial requirements to correctly classify the products and identify the outliers. Therefore the robust sparse PCA (RSPCA) here is used for tobacco leaf NIR process, which has advantages over both robust PCA (RPCA) and classical PCA (CPCA) that the RSPCA can suppress the effect of outliers through sparse loadings and has robust dimension projection. Thus RSPCA brings in higher accuracy for tobacco leaf source classification and outlier detection compared to classical PCA. With Eigenvalue Decomposition Discriminant Analysis (EDDA), a Gaussian component based supervised classification method, the tobacco leaf sources from different quality levels are well classified according to the robust score distance(SD) and orthogonal distance(OD) of RSPCA. Furthermore, the principal components (PCs) based classification and SD-OD based classification are also compared between the three types of PCA, which shows the RSPCA SD-OD based classification has the best performance.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132540271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-class Weather Classification using EfficientNet-B4 with Attention 利用高效率网- b4进行多类别天气分类

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930176

Anjie Yang, Teoh Teik Toe, Zihan Ran, Shuhan Xiao

引用次数: 0

Research on Visual Analysis of Network Topology Based on Geometric Constraints 基于几何约束的网络拓扑可视化分析研究

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930168

Zhonghua Yao, Guangliang Liu, Huihua Luo

引用次数: 0

Inter-Service Communication among Microservices using Kafka Connect 使用Kafka Connect的微服务之间的服务间通信

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930270

Srijith, Karan Bantia R, Govardhan N, Anala M R

{"title":"Inter-Service Communication among Microservices using Kafka Connect","authors":"Srijith, Karan Bantia R, Govardhan N, Anala M R","doi":"10.1109/ICSESS54813.2022.9930270","DOIUrl":"https://doi.org/10.1109/ICSESS54813.2022.9930270","url":null,"abstract":"The new age software should be highly scalable and easily maintainable. The most used architecture to ensure this is the microservice architecture. The software is composed of independent small services in microservice architecture that communicate over well-defined APIs. The communication for the asynchronous flows cannot be done by HTTP APIs which are synchronous (request-reply pattern) as it leads to high consumption of the resources which in turn leads to increase in the traffic of both the microservices. In order to tackle this problem for asynchronous nature, a message queue like Kafka, RabbitMQs are used where a publisher - subscriber model is employed. The usage of this further leads to the bottlenecks in publisher when there are more threads writing to the publisher, but publisher has fixed number of threads to write to message broker partitions. This bottleneck leads to the decrease in the performance and increase in the response time. In this paper, we present the methodology and the pipeline implementation to decrease the bottleneck and improve the time taken for publish - subscribe model for the microservices and reduce the CPU and memory usage of the containers where the microservice is running.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"488 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124424047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Refined LSTM Network for Sensor-based Human Activity Recognition in Real World Scenario 基于传感器的真实场景人类活动识别的改进LSTM网络

2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2022-10-21 DOI: 10.1109/ICSESS54813.2022.9930218

S. Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, A. Jitpattanakul

引用次数: 2