Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

An empirical investigation into social productivity of a software process: An approach by using the structural equation modeling

Yilmaz, Murat and O'Connor, Rory (2011) An empirical investigation into social productivity of a software process: An approach by using the structural equation modeling. In: 18th European Software Process Improvement Conference, 27-29 Jun 2011, Roskilde, Denmark. ISBN 978-3-642-22206-1

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


The actual and expected benefits of fostering the alignment of people factors and cooperation among software development teams enables software development organization to improve software development productivity. Furthermore, software development productivity presents a significant challenge for both understanding and quantifying the performance characteristics of software development organizations. This paper introduces an approach to model software development productivity by using structural equation modeling (SEM), a technique that can be used for testing and estimating relationships using empirical data. We also present preliminary results from an exploratory study about the enabling social factors that affect software development productivity. Our quantitative analysis involves grouping productivity and social productivity factors for studying and identifying their implicit relationship. To this end, we issue questionnaires to test our hypothesis and to gather sample data. The paper concludes by showing initial results, limitations, and directions for future research.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:software development; structured equation modelling; SEM
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Systems, Software and Service Process Improvement. Communications in Computer and Information Science 172. Springer Verlag. ISBN 978-3-642-22206-1
Publisher:Springer Verlag
Official URL:
Copyright Information:© 2011 Springer-Verlag. The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16726
Deposited On:10 Jan 2012 14:14 by Rory O'Connor. Last Modified 10 Jan 2012 14:14

Download statistics

Archive Staff Only: edit this record