2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)最新文献_第9页

Fruit Market Trend Forecast Using Kmeans-based Deep Learning Models 基于kmeans的深度学习模型的水果市场趋势预测

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040838

Yongming Fang, Xiaoping Min, Ling Zheng, Defu Zhang

引用次数: 2

An Automatic Test Platform for Computer Interlocking System 计算机联锁系统自动测试平台

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040848

Guohua Wang, Zhanyu Shen

引用次数: 1

A Monitor Method based on Adaptive Frequency for Self-Adaptive Software 基于自适应频率的自适应软件监控方法

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040738

Wen Cheng, Qingshan Li, Lu Wang

{"title":"A Monitor Method based on Adaptive Frequency for Self-Adaptive Software","authors":"Wen Cheng, Qingshan Li, Lu Wang","doi":"10.1109/ICSESS47205.2019.9040738","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040738","url":null,"abstract":"Self-Adaptive Systems (SASs) are required to adapt to the complex changes with different characteristics by frequent monitor. The problem with gathering and updating changes information frequently at runtime is that it may cause computing and communication overhead, which affects the real-time of SASs. However, if the frequencies are reduced, it is difficult to ensure the accuracy of changes identifying. So it is necessary to solve the trade-off between the accuracy and expensive overhead. Existing methods based on data processing improve accuracy by reducing potential uncertainties. Other methods based on adaptive frequency lack quantification and are difficult to ensure accuracy. We expect to combine them and break through the latter. To this purpose, this paper proposes a method based on adaptive frequency for SASs. The method can ensure the accuracy of adaptive adjustment by comprehensively analyzing the influencing factors of monitoring frequency, and can quantify the monitoring frequency in real time by calculating these factors according to the monitoring data. Finally, we exemplify these methods with an e-commerce System.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"5 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123299549","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

Design and Research of Edge Layer Service Platform Based on Flexible Service Architecture 基于柔性业务架构的边缘层业务平台设计与研究

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040827

Shilong Liu, Yunxiao Zu

引用次数: 1

An Efficient End-to-End Channel Level Pruning Method for Deep Neural Networks Compression 一种有效的端到端信道级深度神经网络压缩剪枝方法

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040742

Lei Zeng, Shi Chen, Sen Zeng

{"title":"An Efficient End-to-End Channel Level Pruning Method for Deep Neural Networks Compression","authors":"Lei Zeng, Shi Chen, Sen Zeng","doi":"10.1109/ICSESS47205.2019.9040742","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040742","url":null,"abstract":"Deep neural networks (DNNS) have obtained compelling performance among many visual tasks by a significant increase in the computation and memory consumption, which severely impede their applications on resource-constrained systems like smart mobiles or embedded devices. To solve these problems, recent efforts toward compressing DNNS have received increased focus. In this paper, we proposed an effective end-to-end channel pruning approach to compress DNNS. To this end, firstly, we introduce additional auxiliary classifiers to enhance the discriminative power of shallow and intermediate layers. Secondly, we impose Ll-regularization on the scaling factors and shifting factors in batch normalization (BN) layer, and adopt the fast and iterative shrinkage-thresholding algorithm (FISTA) to effectively prune the redundant channels. Finally, by forcing selected factors to zero, we can prune the corresponding unimportant channels safely, thus obtaining a compact model. We empirically reveal the prominent performance of our approach with several state-of-theart DNNS architectures, including VGGNet, and MobileNet, on different datasets. For instance, on cifar10 dataset, the pruned MobileNet achieves 26. 9x reduction in model parameters and 3. 9x reduction in computational operations with only 0.04% increase of classification error.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128782015","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: 2

A Static Call Graph Construction Method Based on Simulation Execution 一种基于仿真执行的静态调用图构建方法

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040837

Fan Zhang, Naijie Gu, Junjie Su

{"title":"A Static Call Graph Construction Method Based on Simulation Execution","authors":"Fan Zhang, Naijie Gu, Junjie Su","doi":"10.1109/ICSESS47205.2019.9040837","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040837","url":null,"abstract":"Call graphs have many applications in the field of software engineering. For instance, they are at the foundation of many advanced analysis, such as inter-procedural data-flow analysis, and can help software developers to understand programs. Although many methods have been proposed to statically construct call graphs in C/C++ programs, the call graphs constructed by these methods are still not complete and accurate enough. Especially for the parent-child relationship between threads, there is currently no method that can extract it statically. In order to solve these problems, this paper proposes a static analysis method based on simulation execution to construct call graphs of C/C++ programs. The method analyzes the LLVM IR generated by the source program compilation, and it performs simulation execution on the LLVM IR to generate call graphs. The experimental results show that compared to existing static analysis methods, the proposed method has higher recall rate and higher precision rate, and can analyze the parent-child relationship between threads in a program that uses the pthread library.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148232","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

Research and Implementation of Online Judgment System Based on Micro Service 基于微服务的在线判决系统的研究与实现

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040684

Zhibo Yu, Jiale Han, Tianpu Zhao, Ning Tian, Jingyang Wang

引用次数: 0

SPPlagiarise: A Tool for Generating Simulated Semantics-Preserving Plagiarism of Java Source Code spplagiarism:一个生成模拟语义保存抄袭Java源代码的工具

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040853

Hayden Cheers, Yuqing Lin, Shamus P. Smith

{"title":"SPPlagiarise: A Tool for Generating Simulated Semantics-Preserving Plagiarism of Java Source Code","authors":"Hayden Cheers, Yuqing Lin, Shamus P. Smith","doi":"10.1109/ICSESS47205.2019.9040853","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040853","url":null,"abstract":"Source code plagiarism is a common occurrence in undergraduate computer science education. Studies have indicated at least 50% of students plagiarize during their undergraduate career. To identity cases of source code plagiarism, many source code plagiarism detection tools have been proposed. However, conclusively determining the effectiveness these tools at identifying cases of source code plagiarism is difficult. Evaluations are typically performed using unreleased data sets. Without a comprehensive publicly available data set for source code plagiarism detection evaluation, it is difficult to perform an unbiased and reproducible evaluations of tools. To address this problem, this paper presents a tool, SPPlagiarise, which is designed to produce simulated source code plagiarism of Java source code. SPPlagiarise applies a random number of semantics-preserving source code obfuscations at random locations to a Java code base to simulate source code plagiarism. In this paper the design of the tool and an evaluation of a generated plagiarism data set is presented.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091124","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: 10

An Microservices-Based Openstack Monitoring Tool 基于微服务的Openstack监控工具

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040740

M. Yang, Ming Huang

{"title":"An Microservices-Based Openstack Monitoring Tool","authors":"M. Yang, Ming Huang","doi":"10.1109/ICSESS47205.2019.9040740","DOIUrl":"https://doi.org/10.1109/ICSESS47205.2019.9040740","url":null,"abstract":"Monitoring of openstack clouds is an imperative necessity for cloud providers and administrators to analyze and discover what is happening in the cloud. In this paper, a microservices-based openstack monitoring system, namely openstack-reporter, is proposed, aiming at monitoring openstack clouds and providing a convenient tool for the administrators. Openstack-reporter adopting microservices architecture consists of three constituent components where each component is responsible for a single aspect. The connection among these components is implemented with the help of kubernetes DNS-based service discovery and Role-based access control (RBAC) mechanisms. The management of these three components is performed by kubernetes which is devoted to automate rollouts, rollbacks. We have released the openstack-reporter, docker images and kubernetes configurations which can be accessed publicly. One can easily build the openstack monitoring system just by deploying the openstack-reporter in our kubernetes cluster. To validate the performance of the proposed monitoring system, an openstack platform and openstack-reporter have been built in our datacenter and the management center respectively, and the results are displayed.","PeriodicalId":203944,"journal":{"name":"2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125259549","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: 5

Automated Fault Detection for Web Services using Naïve Bayes Approach 使用Naïve贝叶斯方法的Web服务自动故障检测

2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2019-10-01 DOI: 10.1109/ICSESS47205.2019.9040756

Xing Xing, Jianyan Luo, Zhichun Jia, Yanyan Li, Qiuyang Han

引用次数: 0