H. Nakai, Kiyoshi Honda, H. Washizaki, Y. Fukazawa, Ken Asoh, Kazuyoshi Takahashi, Kentarou Ogawa, M. Mori, Takashi Hino, Yosuke Hayakawa, Yasuyuki Tanaka, S. Yamada, Daisuke Miyazaki
{"title":"基于gqm的以产品为中心的项目监控趋势模式的初步工业经验","authors":"H. Nakai, Kiyoshi Honda, H. Washizaki, Y. Fukazawa, Ken Asoh, Kazuyoshi Takahashi, Kentarou Ogawa, M. Mori, Takashi Hino, Yosuke Hayakawa, Yasuyuki Tanaka, S. Yamada, Daisuke Miyazaki","doi":"10.1109/APSEC.2014.91","DOIUrl":null,"url":null,"abstract":"It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stake-holders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plug in to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plug in to software development project continuously to assess their effectiveness in the long term.","PeriodicalId":380881,"journal":{"name":"2014 21st Asia-Pacific Software Engineering Conference","volume":"310 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Initial Industrial Experience of GQM-Based Product-Focused Project Monitoring with Trend Patterns\",\"authors\":\"H. Nakai, Kiyoshi Honda, H. Washizaki, Y. Fukazawa, Ken Asoh, Kazuyoshi Takahashi, Kentarou Ogawa, M. Mori, Takashi Hino, Yosuke Hayakawa, Yasuyuki Tanaka, S. Yamada, Daisuke Miyazaki\",\"doi\":\"10.1109/APSEC.2014.91\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stake-holders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plug in to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plug in to software development project continuously to assess their effectiveness in the long term.\",\"PeriodicalId\":380881,\"journal\":{\"name\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"volume\":\"310 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 21st Asia-Pacific Software Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSEC.2014.91\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 21st Asia-Pacific Software Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSEC.2014.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Initial Industrial Experience of GQM-Based Product-Focused Project Monitoring with Trend Patterns
It is important for project stakeholders to identify the states of projects and quality of products. Although metrics are useful for identifying them, it is difficult for project stake-holders to select appropriate metrics and determine the purpose of measuring metrics. We propose an approach that defines the measured metrics by GQM method to identify tendency in projects and products based on Trend Pattern. Additionally, we implement a tool as a Jenkins Plug in to visualize an evaluation results based on GQM method. We perform an industrial case study, which objects are two software development projects. In our industrial case study, we can identify the problem that product contains. As our future work, we will adopt our approach and GQM Plug in to software development project continuously to assess their effectiveness in the long term.