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Publications Arising from this Thesis The work described in this thesis has been published as described in the following list: 1. R. Vasa and J.-G. Schneider. Evolution of Cyclomatic Complexity in Object-Oriented Software. In Proceedings of 7th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE ’03), 2003. 2. R. Vasa, J.-G. Schneider, C. Woodward, and A. Cain. Detecting Structural Changes in Object-Oriented Software Systems. In Proceedings of 4th IEEE International Symposium on Empirical Software Engineering (ISESE ’05), 2005. 3. R. Vasa, M. Lumpe, and J.-G. Schneider. Patterns of Component Evolution. In Proceedings of the 6th International Symposium on Software Composition (SC ’07), Springer, 2007. 4. R. Vasa, J.-G. Schneider, and O. Nierstrasz. The Inevitable Stability of Software Change. In Proceedings of 23rd IEEE International Conference on Software Maintenance (ICSM ’07), 2007. 5. R. Vasa, J.-G. Schneider, O. Nierstrasz, and C. Woodward. On the Resilience of Classes to Change. In Proceedings of 3rd International ERCIM Symposium on Software Evolution (Evol ’07), Volume 8. Electronic Communications of the EASST, 2008. 6. A. Tang, J. Han, and R. Vasa. Software Architecture Design Reasoning: A Case for Improved Methodology Support. IEEE Software, 26(2):43 – 49, 2009. v
7. R. Vasa, M. Lumpe, P. Branch, and O. Nierstrasz. Comparative Analysis of Evolving Software Systems using the Gini Coefficient. In Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM ’09), 2009. 8. M. Lumpe, S. Mahmud, and R. Vasa. On the Use of Properties in Java Applications. In Proceedings of the 21st Australian Software Engineering Conference (ASWEC ’10). Australian Computer Society, 2010. Although the thesis is written as a linear document, the actual research work involved substantial exploration, idea formation, modelling, experimenting and some backtracking as we hit dead-ends. The following text outlines how the publications relate to this thesis. The early articles helped lay the foundation and scope the work presented in this thesis. Specifically, the QAOOSE’03 and ISESE’05 articles (papers 1 and 2) showed that software metrics typically exhibit highly skewed distributions that retain their shape over time and that architectural changes can be detected by analyzing these changing distributions. The article published at SC’2007 (paper 3) expanded on the ISESE’05 article (paper 2) and presented a mathematical model to describe the evolution process and also put forward the thresholds as well as a technique to detect substantial changes between releases. These papers helped establish and refine the input data selection method (Chapter 3), validate the approach that we take for extracting metrics (Chapter 4), and developed the modelling approach that we eventually used to detect substantial changes between releases (Chapter 5). More recent work (in particular, ICSM’07 and ICSM’09 articles and the EVOL’07 article – papers 4, 5 and 7) contributed to the content presented in Chapters 5 and 6 of this thesis which address the primary research questions. The article in ASWEC’10 (paper 8) showed that the key analysis approach advocated in this thesis can also be used to understand how properties are used in Java software. The IEEE Software article in 2009 (paper 6) presented a method for reasoning about software architecture and the findings from this thesis influenced some of the arguments with respect to the long term stability of software architecture. The implications that we derived from all of the various papers are expanded upon in Chapter 7. vi
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References [1] S. Alam and P. Duger
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References Software. In Proceedings
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References [43] N. Chapin, J. Hale,
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References [315] T. Zimmermann, V.
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