thesis - Faculty of Information and Communication Technologies ...

References
[202] J. Moon and L. Sproull. Essence of Distributed Work: The Case
of the Linux Kernel. Distributed Work, pages 381–404, 2002.
[203] RSM Tool, M-Squared Technologies. http://
msquaredtechnologies.com/, 2010.
[204] A. Murgia, G. Concas, S. Pinna, R. Tonelli, and I. Turnu. Empirical
Study of Software Quality Evolution in Open Source Projects
Using Agile Practices. Arxiv preprint arXiv:0905.3287, 2009.
[205] N. Nagappan, T. Ball, and A. Zeller. Mining Metrics to Predict
Component Failures. In Proceedings of the 28th International Conference
on Software Engineering, pages 452–461. ACM New York,
NY, USA, 2006.
[206] K. Nakakoji, Y. Yamamoto, K. Kishida, and Y. Ye. Evolution Patterns
of Open Source Software Systems and Communities. In Proceedings
of the International Workshop on Principles of Software
Evolution, pages 76–85. ACM Press New York, 2002.
[207] J. Nash. Directions for Open Source Software Over the Next
Decade. Futures, 42(4):427–433, 2009.
[208] E. Nasseri, S. Counsell, and M. Shepperd. Class Movement and
Re-Location: an Empirical Study of Java Inheritance Evolution.
Journal of Systems and Software, 2009.
[209] M. Newman. The Structure and Function of Complex Networks.
Arxiv preprint cond-mat/0303516, 2003.
[210] M. Newman. Power Laws, Pareto Distributions and Zipf’s Law.
Contemporary physics, 46(5):323–352, 2005.
[211] A. Offutt. Investigations of the Software Testing Coupling Effect.
ACM Transactions on Software Engineering and Methodology
(TOSEM), 1(1):5–20, 1992.
[212] A. Offutt and R. Untch. Mutation 2000: Uniting the Orthogonal.
In Mutation Testing for the New Century, page 44. Kluwer
Academic Publishers, 2001.
[213] H. Olague, L. Etzkorn, S. Gholston, and S. Quattlebaum. Empirical
Validation of Three Software Metrics Suites to Predict Fault-
Proneness of Object-Oriented Classes Developed Using Highly Iterative
or Agile Software Development Processes. IEEE Transactions
on Software Engineering, 33(6):402–419, 2007.
224