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Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality
Como, Italy September 19-September 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.4311th IEEE International Software Metr ...
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Gernot Armin Liebchen, Martin Shepperd, "Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality," Software Metrics, IEEE International Symposium on, pp. 46, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005.
 
 
BibTex
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@article{ 10.1109/METRICS.2005.43,
author = {Gernot Armin Liebchen and Martin Shepperd},
title = {Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality},
journal ={Software Metrics, IEEE International Symposium on},
volume = {0},
year = {2005},
issn = {1530-1435},
pages = {46},
doi = {http://doi.ieeecomputersociety.org/10.1109/METRICS.2005.43},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Metrics, IEEE International Symposium on
TI - Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality
SN - 1530-1435
SP
EP
A1 - Gernot Armin Liebchen,
A1 - Martin Shepperd,
PY - 2005
KW - software productivity
KW - confidentiality
KW - data quality
VL - 0
JA - Software Metrics, IEEE International Symposium on
ER -
 
Gernot Armin Liebchen, Bournemouth University
Martin Shepperd, Bournemouth University

OBJECTIVE - The aim is to report on an ongoing investigation into software productivity and its influencing factors.

ADOPTED METHOD - Analysis of a data set containing project management of a large multinational company. The data set contains tables holding information about more than 25000 closed projects collected since 1990.

ENCOUNTERED ISSUES - Due to incomplete data only 1413 closed projects could be used for the investigation. Confidentiality was also considered as a major issue.

PRELIMINARY RESULTS The projects in the data set vary greatly in their productivity.

FUTURE WORK - Analysis of productivity and its influencing factors.

Index Terms:
software productivity, confidentiality, data quality
Citation:
Gernot Armin Liebchen, Martin Shepperd, "Software Productivity Analysis of a Large Data Set and Issues of Confidentiality and Data Quality," metrics, pp.46, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005
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