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Lookup NU author(s): Dr Claire Ingram, Dr Stephen RiddleORCiD
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: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2011
Pages: 10
Print publication date: 01/06/2011
Source Publication Date: June 2011
Report Number: 1257
Institution: School of Computing Science, The University of Newcastle upon Tyne
Place Published: Newcastle upon Tyne
