Proceedings of the 3rd International Conference on Software Engineering and Information Management最新文献_第4页

A Novel Approach for Blog Feeds Recommendation Based on Meta-data 基于元数据的博客提要推荐新方法

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378971

Jaekwang Kim

{"title":"A Novel Approach for Blog Feeds Recommendation Based on Meta-data","authors":"Jaekwang Kim","doi":"10.1145/3378936.3378971","DOIUrl":"https://doi.org/10.1145/3378936.3378971","url":null,"abstract":"As the blogosphere continues to grow, finding good quality blog feeds has been very time consuming and requires much effort. So, recommending blog feeds, which handle topics close to user interests, can be useful. Recently, the number of bloggers who use the subscription services has been increasing. Subscription is a service using protocols like RSS and ATOM, which notify users when new entries are posted on the blogs that the users register for subscription. In this paper, we present an effective and efficient approach to recommending log feeds based on the subscription lists and meta-data of blogs. In order to find blogs that handle topics close to the blogs in subscription lists, we first model the topic of blogs by collecting and expanding tags in the blogs, and we then compare the topic models of blogs for recommendation. Also, the usefulness of blogs is an important factor. For choosing useful blogs, we adopt the update frequency and number of subscribers because useful blogs are the ones in which new entries will be frequently posted and to which many users will subscribe. In order to validate the proposed blog recommendation algorithm, experiments on real blog data have been conducted, and the results of experiments show that our blog feed recommendation can satisfy users who want to subscribe to blog feeds.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116064936","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

FriendNet Backdoor: Indentifying Backdoor Attack that is safe for Friendly Deep Neural Network FriendNet后门:识别对友好深度神经网络安全的后门攻击

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378938

Hyun Kwon, H. Yoon, Ki-Woong Park

{"title":"FriendNet Backdoor: Indentifying Backdoor Attack that is safe for Friendly Deep Neural Network","authors":"Hyun Kwon, H. Yoon, Ki-Woong Park","doi":"10.1145/3378936.3378938","DOIUrl":"https://doi.org/10.1145/3378936.3378938","url":null,"abstract":"Deep neural networks (DNNs) provide good performance in image recognition, speech recognition and pattern analysis. However, DNNs are vulnerable to backdoor attacks. Backdoor attacks allow attackers to proactively access training data of DNNs to train additional malicious data, including the specific trigger. In normal times, DNNs correctly classify the normal data, but the malicious data with the specific trigger trained by attackers can cause misclassification of DNNs. For example, if an attacker sets up a road sign that includes a specific trigger, an autonomous vehicle equipped with a DNN may misidentify the road sign and cause an accident. Thus, an attacker can use a backdoor attack to threaten the DNN at any time. However, this backdoor attack can be useful in certain situations, such as in military situations. Since there is a mixture of enemy and friendly force in the military situations, it is necessary to cause misclassification of the enemy equipment and classification of the friendly equipment. Therefore, it is necessary to make backdoor attacks that are correctly recognized by friendly equipment and misrecognized by the enemy equipment. In this paper, we propose a friendnet backdoor that is correctly recognized by friendly classifier and misclassified by the enemy classifier. This method additionally trains the friendly and enemy classifier with the proposed data, including the specific trigger that is correctly recognized by friendly classifier and misclassified by enemy classifier. We used MNIST and Fashion-MNIST as experimental datasets and Tensorflow as a machine learning library. Experimental results show that the proposed method in MNIST and Fashion-MNIST has 100% attack success rate of the enemy classifier and the 99.21% and 92.3% accuracy of the friendly classifier, respectively.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122939050","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: 3

The Moderating Effects of Mentoring in ERP Systems 导师制在ERP系统中的调节作用

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378944

Su-Tzu Hsieh

引用次数: 0

Identification of Writing on Bulletin Board via Tor 通过Tor识别电子公告板上的文字

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378967

N. Yoshiura, Kaichiro Iida

引用次数: 0

Human Capital and Their Affect in Service Quality Dimensions 人力资本及其对服务质量维度的影响

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378959

Mariam Ibrahim Hamood Al-Karaawi, Azhara Aziz jasim alobeidi, M. Zuhaira

引用次数: 0

Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration 协同软件开发中的持续冲突预测:持续集成前的一个步骤

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378951

R. Arora, Anand Wani, Ankur Vineet, Bhavik Dhandhalya, Yashvardhan Sharma, S. Goel

{"title":"Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration","authors":"R. Arora, Anand Wani, Ankur Vineet, Bhavik Dhandhalya, Yashvardhan Sharma, S. Goel","doi":"10.1145/3378936.3378951","DOIUrl":"https://doi.org/10.1145/3378936.3378951","url":null,"abstract":"Concurrent activities of collaborative developers over shared project repositories might lead to direct and indirect conflicts. Software Configuration Management systems are designed to capture direct or merge conflicts which arise due to concurrent editing of same shared artifact. However, inconsistencies caused owing to indirect conflicts which arise because of concurrent editing of related artifacts might enter the codebase, since SCM systems have limited capabilities to capture these. Although, Continuous Integration process which is deployed to build the entire codebase with every commit, is quite effective in capturing several type of inconsistencies. However, still few categories of behavioral semantic inconsistencies might evade the build process and penetrate into codebase. In this paper, we propose the Continuous Conflict Prediction Framework which describes a cyclic, real-time, continuous process for conflict prediction which is executed during the process of code creation by collaborative developers. This framework entails a critical conflict-prediction and awareness-generation process which helps in capturing conflicts during development process itself and hence minimizes the number of conflicts entering the project codebase. The proposed framework is realized through implementation of the tool named Collaboration Over GitHub.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129190922","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

E-Government Inter-Organizational Integration: Types and Success Factors 电子政务组织间整合:类型与成功因素

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378955

Mieke Eka Putri, D. I. Sensuse, M. Mishbah, P. Prima

{"title":"E-Government Inter-Organizational Integration: Types and Success Factors","authors":"Mieke Eka Putri, D. I. Sensuse, M. Mishbah, P. Prima","doi":"10.1145/3378936.3378955","DOIUrl":"https://doi.org/10.1145/3378936.3378955","url":null,"abstract":"The rapid development of ICT in Indonesia encourages governments to implement e-government for supporting their services so they can improve their service delivery, strengthen accountability, and increase transparency. Unfortunately, there is a major drawback regarding the implementation of e-government. One of the drawbacks is that most organizations develop silos online services. This condition reflects a lack of e-government inter-organizational integrations. E-government integration among organizations or agencies is necessary to promote a more efficient process, accurate information, and seamless services, which are the objectives of the e-government itself. E-government integration is a complicated process as stakeholders need to consider and plan several factors to make it successful. This study identified the types of e-government inter-organizational integrations through a systematic literature review using the Kitchenham method. The study reveals the success factors which need to be concerned to implement e-government successfully. This study can be used as a reference by stakeholders to initiate an implementation of e-government inter-organizational integration.","PeriodicalId":304149,"journal":{"name":"Proceedings of the 3rd International Conference on Software Engineering and Information Management","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114939837","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

Survey of Swarm Intelligence Algorithms 群智能算法综述

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378977

Suganya Selvaraj, Eunmi Choi

引用次数: 12

Scaling Agile Software Development Approach in Government Organization in New Zealand 在新西兰政府机构中扩展敏捷软件开发方法

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378945

Dipendra Ghimire, S. Charters, S. Gibbs

引用次数: 6

A Study on Determining Household Poverty Status: SVM Based Classification Model 家庭贫困状况判定研究:基于SVM的分类模型

Proceedings of the 3rd International Conference on Software Engineering and Information Management Pub Date : 2020-01-12 DOI: 10.1145/3378936.3378969

Maricel P. Naviamos, Jasmin D. Niguidula

引用次数: 3