hdl.handle.net/1959.3/190170 http://researchbank.swinburne.edu.au/ http://hdl.handle.net/1959.3/190170 Data files used to study the distribution of growth in software systems

http://hdl.handle.net/1959.3/190170

145.038886,-37.822599 swinburne.edu.au hdl.handle.net/1959.3/190155 data supporting the same PhD thesis swinburne.edu.au/270 hdl.handle.net/1959.3/190177 data supporting the same PhD thesis 080306 Open source software Software engineering PhD thesis 080309 Metrics Software maintenance Software evolution 8902 The files are made available at http://hdl.handle.net/1959.3/190170 with the kind permission of the creator under the terms of a Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence (http://creativecommons.org/licenses/by/3.0/). The full thesis is available from: http://hdl.handle.net/1959.3/95058. Copyright © 2010 Rajesh Vasa. The evolution of a software system can be studied in terms of how various properties as reflected by software metrics change over time. Current models of software evolution have allowed for inferences to be drawn about certain attributes of the software system, for instance, regarding the architecture, complexity and its impact on the development effort. However, an inherent limitation of these models is that they do not provide any direct insight into where growth takes place. In particular, we cannot assess the impact of evolution on the underlying distribution of size and complexity among the various classes. Such an analysis is needed in order to answer questions such as 'do developers tend to evenly distribute complexity as systems get bigger?', and 'do large and complex classes get bigger over time?'. These are questions of more than passing interest since by understanding what typical and successful software evolution looks like, we can identify anomalous situations and take action earlier than might otherwise be possible. Information gained from an analysis of the distribution of growth will also show if there are consistent boundaries within which a software design structure exists. In our study of metric distributions, we focused on 10 different measures that span a range of size and complexity measures. The raw metric data (4 .txt files and 1 .log file in a .zip file measuring ~0.5MB in total) is provided as a comma separated values (CSV) file, and the first line of the CSV file contains the header. A detailed output of the statistical analysis undertaken is provided as log files generated directly from Stata (statistical analysis software). http://hdl.handle.net/1959.3/95058 swinburne.edu.au http://researchbank.swinburne.edu.au/ swinburne.edu.au/ http://nla.gov.au/nla.party-482768 Swinburne University of Technology

http://www.swinburne.edu.au/

09 17 13 0803 1503 1002 02 16 1007 0201 08 12 Swinburne University of Technology was established as a technical college in 1908 and achieved university status in 1992. Swinburne is a dual sector university with 5 campuses in Melbourne and one in Sarawak, Malaysia. Swinburne is committed to quality research focused on our core strengths. For more information, see Swinburne's website: http://www.swinburne.edu.au/ swinburne.edu.au/270 http://researchbank.swinburne.edu.au/ http://www.swinburne.edu.au/swinburneresearchers/index.php?fuseaction=profile&pid=270 Rajesh Vasa

http://www.ict.swin.edu.au/ictstaff/rvasa http://www.swinburne.edu.au/swinburneresearchers/index.php?fuseaction=profile&pid=270

hdl.handle.net/1959.3/190170 swinburne.edu.au hdl.handle.net/1959.3/190177 hdl.handle.net/1959.3/190191 swinburne.edu.au/262 hdl.handle.net/1959.3/190155 Open source software Software evolution Java technology 080306 Software maintenance 0803 Agile development methods 080309 Metrics 8902 Software engineering Rajesh Vasa is a Lecturer in the Faculty of Information and Communication Technologies at Swinburne University of Technology. His areas of research interest are software evolution, Java technology and Agile development methods.