2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)最新文献_第5页

Reuse environments for software artifacts: Analysis framework 软件工件的重用环境:分析框架

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607813

Sajjad Mahmood, Moataz A. Ahmed, M. Alshayeb

{"title":"Reuse environments for software artifacts: Analysis framework","authors":"Sajjad Mahmood, Moataz A. Ahmed, M. Alshayeb","doi":"10.1109/ICIS.2013.6607813","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607813","url":null,"abstract":"Systematic software reuse facilitates achieving quality software, faster and at a lower cost. Software reuse environments play an important role in exploiting reusable artifacts to the extent. Environments that support reusing early-stage software artifacts are of great interest. There have been a number of reuse environments proposed in the literature for reuse of software artifacts. However, there is no framework to allow analyzing (i.e. classifying and comparing) reuse environments. The significance of such a framework is twofold: (1) to be used by reuse practitioners to select appropriate environment; and (2) to be used by researchers to identify gaps for future research. In this paper, we present an attribute-based framework to provide such aid to practitioners and researchers. The paper also presents an indicative survey of current reuse environments proposed for systematic reuse of software artifacts. We use the framework to analyze those reuse environments. The analysis provides an understanding of current systematic reuse approaches and respective reuse environments; and identifies corresponding shortcomings. Consequently, we post research questions for future work.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134009055","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

A investigation of opinions and demands of new farming applicants of Japan using concept graph in the questionnaire survey 利用问卷调查中的概念图对日本新农申请人的意见和需求进行调查

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607824

M. Okada, S. Hirokawa, Kiyota Hashimoto

引用次数: 1

Precise tweet classification and sentiment analysis 精确的tweet分类和情感分析

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607883

Rabia Batool, A. Khattak, Maqbool Jahanzeb, Sungyoung Lee

{"title":"Precise tweet classification and sentiment analysis","authors":"Rabia Batool, A. Khattak, Maqbool Jahanzeb, Sungyoung Lee","doi":"10.1109/ICIS.2013.6607883","DOIUrl":"https://doi.org/10.1109/ICIS.2013.6607883","url":null,"abstract":"The rise of social media in couple of years has changed the general perspective of networking, socialization, and personalization. Use of data from social networks for different purposes, such as election prediction, sentimental analysis, marketing, communication, business, and education, is increasing day by day. Precise extraction of valuable information from short text messages posted on social media (Twitter) is a collaborative task. In this paper, we analyze tweets to classify data and sentiments from Twitter more precisely. The information from tweets are extracted using keyword based knowledge extraction. Moreover, the extracted knowledge is further enhanced using domain specific seed based enrichment technique. The proposed methodology facilitates the extraction of keywords, entities, synonyms, and parts of speech from tweets which are then used for tweets classification and sentimental analysis. The proposed system is tested on a collection of 40,000 tweets. The proposed methodology has performed better than the existing system in terms of tweets classification and sentiment analysis. By applying the Knowledge Enhancer and Synonym Binder module on the extracted information we have achieved increase in information gain in a range of 0.1% to 55%. The increase in information gain has enabled our proposed system to better summarize the twitter data for user sentiments regarding a keyword from a particular category.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121704212","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: 98

A novel approach for code match in iris recognition 虹膜识别中一种新的编码匹配方法

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607828

Steve Zhou, Junping Sun

引用次数: 15

A support system for helping to understand a project in software maintenance using the program package name 使用程序包名称帮助理解软件维护中的项目的支持系统

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607875

Hiroaki Yamada, A. Hazeyama

引用次数: 1

Robust RBF neural network control with adaptive sliding mode compensator for MEMS gyroscope 基于自适应滑模补偿器的鲁棒RBF神经网络控制

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607881

J. Fei, Yuzheng Yang, Dan Wu

引用次数: 6

A study on the customer satisfaction and using intention of e-learning 顾客满意度与电子学习使用意向研究

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607850

Dauw-Song Zhu, Wei-Te Lee, Yi-Kang Chen

引用次数: 4

Feature discovery in relevance feedback using pattern mining 基于模式挖掘的关联反馈特征发现

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607858

Luepol Pipanmaekaporn

引用次数: 7

Performance analysis and testing of HBase based on its architecture 基于HBase架构的性能分析与测试

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607866

Lizhi Cai, Shidong Huang, Leilei Chen, Yang Zheng

引用次数: 10

Characterizing E-service Economics based on E-contract and driven by E-value 基于电子合同和电子价值驱动的电子服务经济学特征

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI: 10.1109/ICIS.2013.6607831

Yucong Duan, Hui Zhou, Ying Chang, Mengxing Huang, Shaofan Chen, A. O. Elfaki, Wencai Du

引用次数: 4