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
소프트웨어 유지 관리는 소프트웨어 수명주기에서 중요한 활동입니다. 소프트웨어 유지 관리는 소프트웨어 출시 이후에 발견된 결함을 제거하는 것만을 의미하지 않습니다. 소프트웨어는 경영환경의 변화로 인해 그 기능의 확장이나 수정이 필요하며, 소프트웨어의 유지보수도 이에 해당됩니다. 사용자와 서비스 공급업체가 소프트웨어 유지 관리 작업 효율성을 벤치마킹할 수 있도록 돕고, 소프트웨어 품질, 작업 효율성, 직원 단가 간의 관계를 명확히 하기 위해 우리는 134년 경제 연구 협회에서 수집한 2012개 데이터 포인트가 포함된 데이터 세트를 사용했습니다. 소프트웨어 유지관리 업무 효율성에 영향을 미치는 요인을 분석했습니다. 분석에서는 다중회귀모델을 이용하여 업무효율과 프로그래밍 언어, 생산성 요인 간의 관계를 명확히 하였다. 품질에 미치는 영향을 분석하기 위해 상관계수를 이용하여 불량률의 관계를 분석하였다. 프로그래밍 언어와 생산성 요소는 업무 효율성에 영향을 미칩니다. 업무 효율성이 높고 직원 단가가 높아도 소프트웨어 유지 관리 품질에는 영향을 미치지 않습니다.
Masateru TSUNODA
Nara Institute of Science and Technology,Kindai University
Akito MONDEN
Okayama University
Kenichi MATSUMOTO
Nara Institute of Science and Technology
Sawako OHIWA
Economic Research Association
Tomoki OSHINO
Economic Research Association
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Masateru TSUNODA, Akito MONDEN, Kenichi MATSUMOTO, Sawako OHIWA, Tomoki OSHINO, "Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 1, pp. 76-90, January 2021, doi: 10.1587/transinf.2020MPP0004.
Abstract: Software maintenance is an important activity in the software lifecycle. Software maintenance does not only mean removing faults found after software release. Software needs extensions or modifications of its functions owing to changes in the business environment and software maintenance also refers to them. To help users and service suppliers benchmark work efficiency for software maintenance, and to clarify the relationships between software quality, work efficiency, and unit cost of staff, we used a dataset that includes 134 data points collected by the Economic Research Association in 2012, and analyzed the factors that affected the work efficiency of software maintenance. In the analysis, using a multiple regression model, we clarified the relationships between work efficiency and programming language and productivity factors. To analyze the influence to the quality, relationships of fault ratio was analyzed using correlation coefficients. The programming language and productivity factors affect work efficiency. Higher work efficiency and higher unit cost of staff do not affect the quality of software maintenance.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020MPP0004/_p
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@ARTICLE{e104-d_1_76,
author={Masateru TSUNODA, Akito MONDEN, Kenichi MATSUMOTO, Sawako OHIWA, Tomoki OSHINO, },
journal={IEICE TRANSACTIONS on Information},
title={Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset},
year={2021},
volume={E104-D},
number={1},
pages={76-90},
abstract={Software maintenance is an important activity in the software lifecycle. Software maintenance does not only mean removing faults found after software release. Software needs extensions or modifications of its functions owing to changes in the business environment and software maintenance also refers to them. To help users and service suppliers benchmark work efficiency for software maintenance, and to clarify the relationships between software quality, work efficiency, and unit cost of staff, we used a dataset that includes 134 data points collected by the Economic Research Association in 2012, and analyzed the factors that affected the work efficiency of software maintenance. In the analysis, using a multiple regression model, we clarified the relationships between work efficiency and programming language and productivity factors. To analyze the influence to the quality, relationships of fault ratio was analyzed using correlation coefficients. The programming language and productivity factors affect work efficiency. Higher work efficiency and higher unit cost of staff do not affect the quality of software maintenance.},
keywords={},
doi={10.1587/transinf.2020MPP0004},
ISSN={1745-1361},
month={January},}
부
TY - JOUR
TI - Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset
T2 - IEICE TRANSACTIONS on Information
SP - 76
EP - 90
AU - Masateru TSUNODA
AU - Akito MONDEN
AU - Kenichi MATSUMOTO
AU - Sawako OHIWA
AU - Tomoki OSHINO
PY - 2021
DO - 10.1587/transinf.2020MPP0004
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2021
AB - Software maintenance is an important activity in the software lifecycle. Software maintenance does not only mean removing faults found after software release. Software needs extensions or modifications of its functions owing to changes in the business environment and software maintenance also refers to them. To help users and service suppliers benchmark work efficiency for software maintenance, and to clarify the relationships between software quality, work efficiency, and unit cost of staff, we used a dataset that includes 134 data points collected by the Economic Research Association in 2012, and analyzed the factors that affected the work efficiency of software maintenance. In the analysis, using a multiple regression model, we clarified the relationships between work efficiency and programming language and productivity factors. To analyze the influence to the quality, relationships of fault ratio was analyzed using correlation coefficients. The programming language and productivity factors affect work efficiency. Higher work efficiency and higher unit cost of staff do not affect the quality of software maintenance.
ER -