2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)最新文献

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Critical analysis of feature model evolution 特征模型演化的关键分析
Sungwon Kang, Younghun Han, Hwi Ahn, Jihyun Lee
{"title":"Critical analysis of feature model evolution","authors":"Sungwon Kang, Younghun Han, Hwi Ahn, Jihyun Lee","doi":"10.1109/ICSESS.2017.8342864","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342864","url":null,"abstract":"In software product line development, the feature model is widely used to model various relationships between features including variability of features. Although it has been widely used for a long period of time, the feature model suffers from various problems including limited expression of variability, weak scalability and a lack of scientific principles. To overcome such problems, the feature model has evolved and many variations of the original FODA feature model have been proposed but those problems have been only partially solved. To address this current situation of research on feature models, this paper analyzes what problems have been identified in the past, which of them have been solved and which of them still remain to be solved in the evolution of the feature model.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676803","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
Automated analysis of UML activity diagram using CPNs 使用cpn自动分析UML活动图
Omar Tariq, Jun Sang, Kanza Gulzar, Hong Xiang
{"title":"Automated analysis of UML activity diagram using CPNs","authors":"Omar Tariq, Jun Sang, Kanza Gulzar, Hong Xiang","doi":"10.1109/ICSESS.2017.8342881","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342881","url":null,"abstract":"The UML behavioral models are used in understanding and communicating the problem domain concepts, during the requirement analysis phase of system development. The absence of formal semantics for UML behavioral models makes it difficult to build automated tools for their analysis, simulation and validation. These semantics should be well defined based on a formal language that yields the fundamental requirements for a rigorous validation of the specification models. In this paper, an approach is proposed for formal analysis and simulation of the UML behavioral models. Initially, we define UML activity diagram semantics. These semantics are translated into a Coloured Petri Nets (CPN). Hence, In order to allow a more concrete model behavior analysis, we coined the mapping rules from the specification models composed of objects and events. The results of analysis are in the form of a CPN-Tools report by means of state space analysis or model checking, to illustrate the proposed methodology we used a case study.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465615","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: 6
The machine learning management platform 机器学习管理平台
Meiyu Chen, Xiangdong You
{"title":"The machine learning management platform","authors":"Meiyu Chen, Xiangdong You","doi":"10.1109/ICSESS.2017.8343019","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343019","url":null,"abstract":"Machine learning is one of today's most rapidly growing technical fields[1]. The widespread commercial use of machine learning has inspired more and more intellectuals to study it. In order to help learners to study machine learning much easier, the machine learning management platform was developed. This platform was designed to help them in many ways, for example, the data-set management module was designed to speed up the data collecting and preconditioning process, the study logs management module can assist them to make correct decisions to optimize the model, and it also provides users a convenient way of interaction and cooperation. This paper mainly describes the services provided by the platform and the technologies used to build this platform.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653078","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
Open innovation in software requirements engineering: A mapping study 软件需求工程中的开放式创新:映射研究
Huishi Yin, Dietmar Pfahl
{"title":"Open innovation in software requirements engineering: A mapping study","authors":"Huishi Yin, Dietmar Pfahl","doi":"10.1109/ICSESS.2017.8342852","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342852","url":null,"abstract":"Background: Since 2003, when the concept of open innovation (OI) was introduced, OI has been applied in many industrial fields. Previous research indicates that the use of OI in computer science is less diverse than in other fields. Especially, the role of OI in software requirements engineering (RE) seems to be little explored. Goals: This study aimed to summarize the body of knowledge about the use of OI in the field of RE. More specifically, we analyzed what uses of OI in the context of RE have been reported and how OI has contributed to individual steps of the RE process. Method: We conduct a mapping study on the literature provided in four scientific databases (ISI Web of Science, IEEE Xplore, ACM Digital Library, and Science Direct). Results: We identified 20 relevant papers. We found: 1) 20 primary studies from the period 2003–2016 report on results about applying OI in RE. 2) Half of the studies report on the application of OI on RE as a whole. 3) Only one paper each is related to requirement prioritization and validation. 4) None of the primary studies presents a proprietary tool support for OI in RE. Only one study presents a method for automatic requirements extraction in OSS projects which can be implemented using standard machine learning tools. Conclusions: Acknowledging the lack of published research on the use of OI strategies in specific RE activities, i.e., prioritization and validation, as well as the lack of reported tool support, we see new opportunities for research on automated and thus non-intrusive and low-cost methods for applying OI strategies in RE.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117117046","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 hierarchical semantic extraction model for Chinese counseling question based on neural networks 基于神经网络的汉语咨询问题分层语义提取模型
Yingtao Wang, Xiaojun Huang
{"title":"A hierarchical semantic extraction model for Chinese counseling question based on neural networks","authors":"Yingtao Wang, Xiaojun Huang","doi":"10.1109/ICSESS.2017.8342963","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342963","url":null,"abstract":"In the Chinese natural language processing, this paper proposes a hierarchical semantic learning model based on the neural network model for the semantic understanding of the counseling question. The attention mechanism is used to integrate the factual part of the original problem into the core question part and it can enrich the final representation of the semantic information and highlight the main features. Experiments show that the hierarchical learning structure can extract the structural features of the counseling question well, and contains more semantic information than the traditional structure which directly learns the problem, so that the final vector has higher similarity in the space.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123742819","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
The applied research on AADL and stateflow model in embedded system software design AADL和状态流模型在嵌入式系统软件设计中的应用研究
Runlong Liu, Yang Deng, Zhi Liu
{"title":"The applied research on AADL and stateflow model in embedded system software design","authors":"Runlong Liu, Yang Deng, Zhi Liu","doi":"10.1109/ICSESS.2017.8342929","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342929","url":null,"abstract":"Model-based design is now the developing trend of the embedded system software design. Modeling embedded system and generating code automatically are the key technologies of model-based design. In this paper, AADL is used to modeling a aircraft control system's architecture, Stateflow is used to modeling the system's functions, and RTW tool is used to generate C code automatically from Stateflow model. Through the integration of manual program and auto-generated code, the aircraft control system software are partly designed. The research indicates that AADL associated with Stateflow can be used to modeling the embedded system's architecture and logic functions conveniently, and generate code automatically, so they can both be applied to the embedded system software design.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125402826","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 on network workload resource prediction based on hybrid model 基于混合模型的网络工作负载资源预测研究
Yan Guo, Qian Wang
{"title":"Research on network workload resource prediction based on hybrid model","authors":"Yan Guo, Qian Wang","doi":"10.1109/ICSESS.2017.8343053","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343053","url":null,"abstract":"In view of the most of the research focuses on using a single model to forecast the network workload, ignoring other factors effect on the internal network resources, lead to large amount of data implied information loss, often difficult to obtain accurate results. This paper proposes two hybrid model prediction methods. The hybrid model takes advantage of ARIMA model, Kalman filter model and BP neural network model, and combines the ARIMA model with Kalman filter and BP neural network. Experimental results show that with a single time series prediction method of integral (autoregressive moving average model, BP neural network and kalman filtering), compared two methods of hybrid model has higher prediction accuracy, effectively improve the utilization rate of resources, effectively improve the efficiency of the on-demand scheduling of virtual machine resources.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125573656","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
Cloud classification of satellite image based on convolutional neural networks 基于卷积神经网络的卫星图像云分类
Keyang Cai, Hong Wang
{"title":"Cloud classification of satellite image based on convolutional neural networks","authors":"Keyang Cai, Hong Wang","doi":"10.1109/ICSESS.2017.8343049","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343049","url":null,"abstract":"Cloud classification of satellite image is the basis of meteorological forecast. Traditional machine learning methods need to manually design and extract a large number of image features, while the utilization of satellite image features is not high. This paper constructs a convolution neural network for cloud classification, which can automatically learn features and obtain classification results. The experimental results on the FY-2C satellite image show that the features extracted by deep convolution neural network are more favorable to the classification of satellite cloud. The performance of cloud classification based on deep convolution neural network is better than that of traditional machine learning methods. The method has high precision and good robustness.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115038459","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: 8
Information linkage design and emotional evaluation on intelligent microwaves 智能微波的信息联动设计与情感评价
Jiuqiang Fu, B. Jiang, Namgyu Kang
{"title":"Information linkage design and emotional evaluation on intelligent microwaves","authors":"Jiuqiang Fu, B. Jiang, Namgyu Kang","doi":"10.1109/ICSESS.2017.8343023","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343023","url":null,"abstract":"Microwaves are indispensable part in the modern kitchen. In the transforming of traditional kitchen to be smart, microwaves are beginning to combine internet with mobile phone APP. This kind of information interconnection changes the control interface of traditional microwaves, which needs more functions to achieve remote operation. However, it's difficult for users to adapt these new interfaces which now increases the difficulty and psychological burden. The purpose of this study is to optimize the information-linkage methods for users, mobile phones, and intelligent microwaves, promote information interconnections and enhance the user's experience. This paper analyzes the similarities and differences between traditional microwaves and intelligent microwaves, optimizes the information linkage processes, and verifies the design results through the emotional evaluation. We selected 40 subjects, tested and evaluated the experience for these new interfaces, and the results of emotional evaluation showed that the new interface prototypes optimized the information linkage and improved the usability. This new design allows more users to accept and be willing to further use intelligent microwaves.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116573066","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
Automatic link establishment for HF radios 高频无线电自动链路建立
A. Bilal, Guangmin Sun
{"title":"Automatic link establishment for HF radios","authors":"A. Bilal, Guangmin Sun","doi":"10.1109/ICSESS.2017.8342996","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342996","url":null,"abstract":"In the past three decades, major technologies and economic developments have been made on the telecommunication sector. HF communication has now become the main feature of the telecommunication industry. An advantage of the use of HF communication is that high frequency system is inexpensive and allows long range communication with minimal equipment requirements and easy to implement in the isolated areas as well. Frequencies ranging from 1.6 MHz to 30 MHz is called High Frequency spectrum. One of the important developments in the HF communication is Automatic Link Establishment. ALE method is widely used by the military and other organizations. In this paper we have tried to describe the implementation of ALE military standard (188-141A). This standard defines a 2G HF ALE standard. We design a communication system that allows reliable data communication over HF radio by using the Matlab environment. Our work is divided into two parts. In first part at the transmitter level, we perform the encoder to encode the data bits for error correction and detection by using the golay code. After the encoder, interleave the encoded data bits and perform the 8 array FSK modulation to transmit the data. In the second part at the receiver, we demodulated the data and then deinterleave it. After the deinterleaving we perform the decoder by using the golay decoder. At the end there is a performance analysis that comprises SNR and BER plots.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737006","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: 4
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