Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset

Masateru TSUNODA; Akito MONDEN; Kenichi MATSUMOTO; Sawako OHIWA; Tomoki OSHINO

doi:10.1587/transinf.2020MPP0004

Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset

Masateru TSUNODA, Akito MONDEN, Kenichi MATSUMOTO, Sawako OHIWA, Tomoki OSHINO

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E104-D No.1 pp.76-90

Publication Date: 2021/01/01

Publicized: 2020/08/31

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2020MPP0004

Type of Manuscript: Special Section PAPER (Special Section on Empirical Software Engineering)

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Authors

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

Keyword

cross-company dataset, linear regression, work efficiency, working time

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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},}

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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 -