{"title":"基于公共存储库分析的OSS可靠性评估方法","authors":"hoichiro Miyamoto, Y. Tamura, Shigeru Yamada","doi":"10.1142/s0218539323500213","DOIUrl":null,"url":null,"abstract":"Open Source Software (OSS) is developed by various developers. Moreover, OSS user is increasing all over the world. There are various methods to maintain the software. Large-scale OSS projects mainly use bug tracking system (BTS) for bug management. Recently, OSS project uses public software repository to publish software such as GitHub. Public software repository has a function to report software issue. In the past, several researchers have proposed reliability assessment method using BTS. In this research, we propose a reliability assessment method based on deep learning using software repository analysis.","PeriodicalId":45573,"journal":{"name":"International Journal of Reliability Quality and Safety Engineering","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Method of OSS Reliability Assessment Based on Public Repository Analysis\",\"authors\":\"hoichiro Miyamoto, Y. Tamura, Shigeru Yamada\",\"doi\":\"10.1142/s0218539323500213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Open Source Software (OSS) is developed by various developers. Moreover, OSS user is increasing all over the world. There are various methods to maintain the software. Large-scale OSS projects mainly use bug tracking system (BTS) for bug management. Recently, OSS project uses public software repository to publish software such as GitHub. Public software repository has a function to report software issue. In the past, several researchers have proposed reliability assessment method using BTS. In this research, we propose a reliability assessment method based on deep learning using software repository analysis.\",\"PeriodicalId\":45573,\"journal\":{\"name\":\"International Journal of Reliability Quality and Safety Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Reliability Quality and Safety Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/s0218539323500213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Reliability Quality and Safety Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0218539323500213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
开源软件(Open Source Software, OSS)是由各种各样的开发者开发的。此外，OSS的用户在全球范围内也在不断增加。有多种方法来维护软件。大型OSS项目主要使用bug tracking system (BTS)进行bug管理。最近，OSS项目使用公共软件存储库发布软件，如GitHub。公共软件存储库具有报告软件问题的功能。过去，一些研究人员提出了基于BTS的可靠性评估方法。在本研究中，我们提出了一种基于软件存储库分析的深度学习可靠性评估方法。
A Method of OSS Reliability Assessment Based on Public Repository Analysis
Open Source Software (OSS) is developed by various developers. Moreover, OSS user is increasing all over the world. There are various methods to maintain the software. Large-scale OSS projects mainly use bug tracking system (BTS) for bug management. Recently, OSS project uses public software repository to publish software such as GitHub. Public software repository has a function to report software issue. In the past, several researchers have proposed reliability assessment method using BTS. In this research, we propose a reliability assessment method based on deep learning using software repository analysis.
期刊介绍：
IJRQSE is a refereed journal focusing on both the theoretical and practical aspects of reliability, quality, and safety in engineering. The journal is intended to cover a broad spectrum of issues in manufacturing, computing, software, aerospace, control, nuclear systems, power systems, communication systems, and electronics. Papers are sought in the theoretical domain as well as in such practical fields as industry and laboratory research. The journal is published quarterly, March, June, September and December. It is intended to bridge the gap between the theoretical experts and practitioners in the academic, scientific, government, and business communities.
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