Openly accessible

Empirical studies of structural phenomena using a curated corpus of Java code

Melton, Hayden P. 2017, Empirical studies of structural phenomena using a curated corpus of Java code, PhD thesis, School of Information Technology, Deakin University.

Attached Files
Name Description MIMEType Size Downloads
melton-empiricalstudies-2017.pdf Connect to thesis application/pdf 8.76MB 189

Title Empirical studies of structural phenomena using a curated corpus of Java code
Author Melton, Hayden P.
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science, Engineering and Built Environment
Degree type Research doctorate
Degree name PhD
Thesis advisor Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Date submitted 2017-05
Keyword(s) Java (Computer program language)
dependency cycles
software design
Summary Contrary to 50 years' worth of advice in the instructional literature on software design, long cyclic dependencies are found to be widespread in sizeable, curated corpus of real Java software. Among their causes may be overuse of static members, underuse of dependency injection and poor tool support for avoiding them.
Language eng
Field of Research 080300 - Computer Software
Socio Economic Objective 890299 - Computer Software and Services not elsewhere classified
Description of original ix, 303 pages : illustrations, tables, graphs
Copyright notice ┬ęThe author. All Rights Reserved.
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103477

Document type: Thesis
Collections: Higher degree theses (Open Access)
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 72 Abstract Views, 192 File Downloads  -  Detailed Statistics
Created: Wed, 18 Oct 2017, 11:10:32 EST by Asif, Yasmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.