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정보검색기반 결함위치식별 기술의 성능 향상을 위한 버그리포트 품질 예측
김미수(Misoo Kim),안준(June Ahn),이은석(Eunseok Lee) Korean Institute of Information Scientists and Eng 2017 정보과학회논문지 Vol.44 No.8
Bug reports are essential documents for developers to localize and fix bugs. These reports contain information regarding software bugs or failures that occur during software operation and maintenance phase. Information Retrieval-based Bug Localization (IR-BL) techniques have been proposed to reduce the time and cost it takes for developers to resolve bug reports. However, if a low-quality bug report is submitted, the performance of such techniques can be significantly degraded. To address this problem, we propose a quality prediction method that selects low-quality bug reports. This process; defines a Quality property of a Bug report as a Query (Q4BaQ) and predicts the quality of the bug reports using machine learning. We evaluated the proposed method with 3 open source projects. The results of the experiment show that the proposed method achieved an average F-measure of 87.31% and outperformed previous prediction techniques by up to 6.62% in the F-measure. Finally, a combination of the proposed method and traditional automatic query reformulation method improved the MRR and MAP by 0.9% and 1.3%, respectively.
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이원곡(Won-Gok Lee),백지훈(Ji-Hun Back),안준(June Ahn),최진구(Jin-Ku Choi) 한국정보기술학회 2011 한국정보기술학회논문지 Vol.9 No.8
As developing Information Technology, various industries applied IT are appearing. Similarly, it’s developing to apply IT in the motor vehicle industry. In this paper, the Real Time Vehicle Tracking & Management System using GPS, WCDMA module and Bluethooth has been implemented. As this system sends the real-time vehicle location information to web-server via TCP/IP using WCDMA, users can get real time information onto web. Besides, when a vehicle is stolen, user can control his/her stolen vehicle with application service as sending the vehicle control order through web-server. When driving, this system can receive the exact vehicle status information through CAN communication of OBD-II and send the information to user’s smart phone via Bluetooth. Users can get vehicle information for management & information for indicating eco-driving to save fuels through application on smart phone. The Vehicle Location Tracking Service and the Vehicle Antitheft Service have been implemented in this system as web services. The Eco-driving Indicating Function as well as the Vehicle Management Service on smart phone have been also implemented. Hereafter, these technologies can be used as Telematics and Infortainment with smart phone.
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