The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
요즘에는 독점 소프트웨어 프로젝트에 오픈 소스 소프트웨어(OSS) 시스템이 채택됩니다. 문제가 있는 OSS 시스템을 사용할 위험(예: 시스템 충돌 유발)을 줄이려면 독점 소프트웨어 프로젝트에서 OSS 시스템을 미리 평가하는 것이 중요합니다. 따라서 OSS 품질 평가 모델은 OSS 시스템의 품질에 관한 정보를 얻기 위해 연구됩니다. OSS 품질 평가 모델은 소수의 사례 연구를 통해 부분적으로 검증되었지만, 우리가 아는 한, 산업 프로젝트가 자체 개발 프로세스에서 OSS 품질 평가 모델을 실제로 어떻게 사용하는지 실증적으로 보고하는 연구는 거의 없습니다. 본 연구에서는 Fujitsu Kyushu Network Technologies Limited(Fujitsu QNET)에서 OSS 품질 평가 모델의 비용과 효율성을 실증적으로 평가했습니다. 실증적 연구를 수행하기 위해 우리는 (a) Fujitsu QNET 프로젝트에서 실제로 사용한 120개의 OSS 프로젝트와 (b) 프로젝트에서 큰 문제를 일으킨 문제가 있는 10개의 OSS 프로젝트로부터 데이터 세트를 수집했습니다. 우리는 (1) OSS 프로젝트당 모든 평가 지표를 수집하는 데 각각 평균 51분과 49분의 중앙 시간이 소요되고 (2) 다음에서 파생된 임계값을 사용하여 문제가 있는 OSS 시스템을 필터링할 수 있는 가능성이 있음을 발견했습니다. 평가 지표 풀. Fujitsu QNET 개발자들은 우리의 결과가 Fujitsu QNET의 OSS 평가 프로세스 개선으로 이어진다는 데 동의합니다. 우리는 우리의 작업이 OSS 평가 기술을 산업 프로젝트에 적용하는 것에 대한 경험적 지식에 크게 기여한다고 믿습니다.
Yasutaka KAMEI
Kyushu University
Takahiro MATSUMOTO
Kyushu University
Kazuhiro YAMASHITA
Kyushu University
Naoyasu UBAYASHI
Kyushu University
Takashi IWASAKI
Fujitsu Kyushu Network Technologies Limited
Shuichi TAKAYAMA
Fujitsu Kyushu Network Technologies Limited
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Yasutaka KAMEI, Takahiro MATSUMOTO, Kazuhiro YAMASHITA, Naoyasu UBAYASHI, Takashi IWASAKI, Shuichi TAKAYAMA, "Studying the Cost and Effectiveness of OSS Quality Assessment Models: An Experience Report of Fujitsu QNET" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 11, pp. 2744-2753, November 2018, doi: 10.1587/transinf.2018EDP7163.
Abstract: Nowadays, open source software (OSS) systems are adopted by proprietary software projects. To reduce the risk of using problematic OSS systems (e.g., causing system crashes), it is important for proprietary software projects to assess OSS systems in advance. Therefore, OSS quality assessment models are studied to obtain information regarding the quality of OSS systems. Although the OSS quality assessment models are partially validated using a small number of case studies, to the best of our knowledge, there are few studies that empirically report how industrial projects actually use OSS quality assessment models in their own development process. In this study, we empirically evaluate the cost and effectiveness of OSS quality assessment models at Fujitsu Kyushu Network Technologies Limited (Fujitsu QNET). To conduct the empirical study, we collect datasets from (a) 120 OSS projects that Fujitsu QNET's projects actually used and (b) 10 problematic OSS projects that caused major problems in the projects. We find that (1) it takes average and median times of 51 and 49 minutes, respectively, to gather all assessment metrics per OSS project and (2) there is a possibility that we can filter problematic OSS systems by using the threshold derived from a pool of assessment metrics. Fujitsu QNET's developers agree that our results lead to improvements in Fujitsu QNET's OSS assessment process. We believe that our work significantly contributes to the empirical knowledge about applying OSS assessment techniques to industrial projects.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7163/_p
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@ARTICLE{e101-d_11_2744,
author={Yasutaka KAMEI, Takahiro MATSUMOTO, Kazuhiro YAMASHITA, Naoyasu UBAYASHI, Takashi IWASAKI, Shuichi TAKAYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Studying the Cost and Effectiveness of OSS Quality Assessment Models: An Experience Report of Fujitsu QNET},
year={2018},
volume={E101-D},
number={11},
pages={2744-2753},
abstract={Nowadays, open source software (OSS) systems are adopted by proprietary software projects. To reduce the risk of using problematic OSS systems (e.g., causing system crashes), it is important for proprietary software projects to assess OSS systems in advance. Therefore, OSS quality assessment models are studied to obtain information regarding the quality of OSS systems. Although the OSS quality assessment models are partially validated using a small number of case studies, to the best of our knowledge, there are few studies that empirically report how industrial projects actually use OSS quality assessment models in their own development process. In this study, we empirically evaluate the cost and effectiveness of OSS quality assessment models at Fujitsu Kyushu Network Technologies Limited (Fujitsu QNET). To conduct the empirical study, we collect datasets from (a) 120 OSS projects that Fujitsu QNET's projects actually used and (b) 10 problematic OSS projects that caused major problems in the projects. We find that (1) it takes average and median times of 51 and 49 minutes, respectively, to gather all assessment metrics per OSS project and (2) there is a possibility that we can filter problematic OSS systems by using the threshold derived from a pool of assessment metrics. Fujitsu QNET's developers agree that our results lead to improvements in Fujitsu QNET's OSS assessment process. We believe that our work significantly contributes to the empirical knowledge about applying OSS assessment techniques to industrial projects.},
keywords={},
doi={10.1587/transinf.2018EDP7163},
ISSN={1745-1361},
month={November},}
부
TY - JOUR
TI - Studying the Cost and Effectiveness of OSS Quality Assessment Models: An Experience Report of Fujitsu QNET
T2 - IEICE TRANSACTIONS on Information
SP - 2744
EP - 2753
AU - Yasutaka KAMEI
AU - Takahiro MATSUMOTO
AU - Kazuhiro YAMASHITA
AU - Naoyasu UBAYASHI
AU - Takashi IWASAKI
AU - Shuichi TAKAYAMA
PY - 2018
DO - 10.1587/transinf.2018EDP7163
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2018
AB - Nowadays, open source software (OSS) systems are adopted by proprietary software projects. To reduce the risk of using problematic OSS systems (e.g., causing system crashes), it is important for proprietary software projects to assess OSS systems in advance. Therefore, OSS quality assessment models are studied to obtain information regarding the quality of OSS systems. Although the OSS quality assessment models are partially validated using a small number of case studies, to the best of our knowledge, there are few studies that empirically report how industrial projects actually use OSS quality assessment models in their own development process. In this study, we empirically evaluate the cost and effectiveness of OSS quality assessment models at Fujitsu Kyushu Network Technologies Limited (Fujitsu QNET). To conduct the empirical study, we collect datasets from (a) 120 OSS projects that Fujitsu QNET's projects actually used and (b) 10 problematic OSS projects that caused major problems in the projects. We find that (1) it takes average and median times of 51 and 49 minutes, respectively, to gather all assessment metrics per OSS project and (2) there is a possibility that we can filter problematic OSS systems by using the threshold derived from a pool of assessment metrics. Fujitsu QNET's developers agree that our results lead to improvements in Fujitsu QNET's OSS assessment process. We believe that our work significantly contributes to the empirical knowledge about applying OSS assessment techniques to industrial projects.
ER -