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Lookup NU author(s): Dr Claire Ingram, Dr Stephen RiddleORCiD
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One technique from value-based software engineering involves prioritising the system and selectively applying time-consuming techniques (such as traceability) in order to maximise return on investment. This prioritisation could be based on predicted change-proneness of code modules, if a sufficiently accurate prediction can be achieved. Several previous studies have examined links between software change-proneness and software metrics such as size and complexity. However, conclusions differ as to the strength of the relationships. We present here a new case study project, extracting a range of complexity values from the code modules and testing for the existence of a significant link between change-proneness and complexity. We find only limited evidence of a linear relationship, but analysis using other statistical techniques does reveal some other significant links.
Author(s): Ingram C; Riddle S
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2nd International Workshop on Emerging Trends in Software Metrics (WeTSOM 2011)
Year of Conference: 2011
Pages: 31-37
Publisher: ACM Press
URL: http://dx.doi.org/10.1145/1985374.1985384
DOI: 10.1145/1985374.1985384
Library holdings: Search Newcastle University Library for this item
ISBN: 9781450305938
