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Linking Software Design Metrics to Component Change-Proneness

Lookup NU author(s): Dr Claire Ingram, Dr Stephen RiddleORCiD

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This is the final published version of a report that has been published in its final definitive form by School of Computing Science, The University of Newcastle upon Tyne, 2011.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

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.

Publication metadata

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

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