Moore, Kevin and Wermelinger, Michel
(2013).
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/978-3-319-00395-5_27 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
Given the interdisciplinary nature of complex network studies, there is a practical need for dialogue between theorists proposing graph measurements and those seeking to apply them into a domain. We consider this in the domain of software complexity by highlighting the distinctive nature of networks representing software’s internal structure and also by describing the application of one such proposal, the offdiagonal complexity, against two examples of software. The results showed the promise of using complex networks to measure software complexity but also demonstrated the confounding effects of size. Based on that application we make proposals to improve the dialogue between theory and experiment.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2013 Springer |
| ISSN: | 2213-8684 |
| Keywords: | Software complexity; Software evolution; Graph theory; Software metrics; Offdiagonal |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Research Group: | Centre for Research in Computing (CRC) |
| Item ID: | 38238 |
| Depositing User: | Michel Wermelinger |
| Date Deposited: | 29 Aug 2013 14:54 |
| Last Modified: | 02 May 2018 13:54 |
| URI: | http://oro.open.ac.uk/id/eprint/38238 |
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