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

Masateru TSUNODA  Akito MONDEN  Kenichi MATSUMOTO  Sawako OHIWA  Tomoki OSHINO  

Publication
IEICE TRANSACTIONS on Information and Systems   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)
Category: 
Keyword: 
cross-company dataset,  linear regression,  work efficiency,  working time,  

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Summary: 
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.