Estimating Productivity of Software Development Using the Total Factor Productivity Approach
The design, control and optimization of software engineering processes generally require the determination of performance measures such as efficiency or productivity. However, the definition and measurement of productivity is often inaccurate and differs from one method to another. On the other hand...
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2012-11-01
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Online Access: | https://doi.org/10.5772/52797 |
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doaj-750596ca937648249b0e75358dead7772021-04-02T11:24:08ZengSAGE PublishingInternational Journal of Engineering Business Management1847-97902012-11-01410.5772/5279740836Estimating Productivity of Software Development Using the Total Factor Productivity ApproachMachek Ondrej0Hnilica Jiri1Hejda Jan2 University of Economics, Prague, Department of Business Economics, Faculty of Business Administration University of Economics, Prague, Department of Business Economics, Faculty of Business Administration Czech Technical University in Prague, Department of Biomedical Technology, Faculty of Biomedical EngineeringThe design, control and optimization of software engineering processes generally require the determination of performance measures such as efficiency or productivity. However, the definition and measurement of productivity is often inaccurate and differs from one method to another. On the other hand, economic theory offers a well-grounded tool of productivity measurement. In this article, we propose a model of process productivity measurement based on the total factor productivity (TFP) approach commonly used in economics. In the first part of the article, we define productivity and its measurement. We also discuss the major data issues which have to be taken into consideration. Consequently, we apply the TFP approach in the domain of software engineering and we propose a TFP model of productivity assessment.https://doi.org/10.5772/52797 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Machek Ondrej Hnilica Jiri Hejda Jan |
spellingShingle |
Machek Ondrej Hnilica Jiri Hejda Jan Estimating Productivity of Software Development Using the Total Factor Productivity Approach International Journal of Engineering Business Management |
author_facet |
Machek Ondrej Hnilica Jiri Hejda Jan |
author_sort |
Machek Ondrej |
title |
Estimating Productivity of Software Development Using the Total Factor Productivity Approach |
title_short |
Estimating Productivity of Software Development Using the Total Factor Productivity Approach |
title_full |
Estimating Productivity of Software Development Using the Total Factor Productivity Approach |
title_fullStr |
Estimating Productivity of Software Development Using the Total Factor Productivity Approach |
title_full_unstemmed |
Estimating Productivity of Software Development Using the Total Factor Productivity Approach |
title_sort |
estimating productivity of software development using the total factor productivity approach |
publisher |
SAGE Publishing |
series |
International Journal of Engineering Business Management |
issn |
1847-9790 |
publishDate |
2012-11-01 |
description |
The design, control and optimization of software engineering processes generally require the determination of performance measures such as efficiency or productivity. However, the definition and measurement of productivity is often inaccurate and differs from one method to another. On the other hand, economic theory offers a well-grounded tool of productivity measurement. In this article, we propose a model of process productivity measurement based on the total factor productivity (TFP) approach commonly used in economics. In the first part of the article, we define productivity and its measurement. We also discuss the major data issues which have to be taken into consideration. Consequently, we apply the TFP approach in the domain of software engineering and we propose a TFP model of productivity assessment. |
url |
https://doi.org/10.5772/52797 |
work_keys_str_mv |
AT machekondrej estimatingproductivityofsoftwaredevelopmentusingthetotalfactorproductivityapproach AT hnilicajiri estimatingproductivityofsoftwaredevelopmentusingthetotalfactorproductivityapproach AT hejdajan estimatingproductivityofsoftwaredevelopmentusingthetotalfactorproductivityapproach |
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