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An Empirical Analysis of Software Productivity over Time
Como, Italy September 19-September 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.811th IEEE International Software Metr ...
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Rahul Premraj, Martin Shepperd, Barbara Kitchenham, Pekka Forselius, "An Empirical Analysis of Software Productivity over Time," Software Metrics, IEEE International Symposium on, pp. 37, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005.
 
 
BibTex
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@article{ 10.1109/METRICS.2005.8,
author = {Rahul Premraj and Martin Shepperd and Barbara Kitchenham and Pekka Forselius},
title = {An Empirical Analysis of Software Productivity over Time},
journal ={Software Metrics, IEEE International Symposium on},
volume = {0},
year = {2005},
issn = {1530-1435},
pages = {37},
doi = {http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.8},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Metrics, IEEE International Symposium on
TI - An Empirical Analysis of Software Productivity over Time
SN - 1530-1435
SP
EP
A1 - Rahul Premraj,
A1 - Martin Shepperd,
A1 - Barbara Kitchenham,
A1 - Pekka Forselius,
PY - 2005
KW - project management
KW - projects
KW - software productivity
KW - trend analysis
KW - empirical analysis
VL - 0
JA - Software Metrics, IEEE International Symposium on
ER -
 
Rahul Premraj, Bournemouth University
Martin Shepperd, Brunel University
Barbara Kitchenham, National ICT
Pekka Forselius, STTF Oy

OBJECTIVE - the aim is to investigate how software project productivity has changed over time. Within this overall goal we also compare productivity between different business sectors and seek to identify major drivers.

METHOD - we analysed a data set of more than 600 projects that have been collected from a number of Finnish companies since 1978.

RESULTS - overall, we observed a quite pronounced improvement in productivity over the entire time period, though, this improvement is less marked since the 1990s. However, the trend is not smooth. We also observed productivity variability between company and business sector.

CONCLUSIONS - whilst this data set is not a random sample so generalisation is somewhat problematic, we hope that it contributes to an overall body of knowledge about software productivity and thereby facilitates the construction of a bigger picture.

Index Terms:
project management, projects, software productivity, trend analysis, empirical analysis
Citation:
Rahul Premraj, Martin Shepperd, Barbara Kitchenham, Pekka Forselius, "An Empirical Analysis of Software Productivity over Time," metrics, pp.37, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005
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