Estimating Productivity of Software Development Using the Total Factor Productivity Approach
Author(s) -
Ondřej Machek,
Jiří Hnilica,
Jan Hejda
Publication year - 2012
Publication title -
international journal of engineering business management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.352
H-Index - 22
ISSN - 1847-9790
DOI - 10.5772/52797
Subject(s) - total factor productivity , productivity , partial productivity , productivity model , software , process (computing) , industrial engineering , computer science , software development , multifactor productivity , econometrics , engineering , operations research , economics , macroeconomics , programming language , operating system
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 ofproductivity 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
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