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Lookup NU author(s): Dr Claire Ingram, Dr Stephen RiddleORCiD
Several previous studies have suggested methods for predicting change-proneness based on software complexity metrics. We hypothesise that data from the early stages of a development project such as requirements and design could also be used to make such predictions. We define here a set of new metrics to capture data from the requirements and/or design stages, and derive values for these metrics using a case study project. We do find that significant differences in change-proneness can be detected between components with high or with low values for our metrics, suggesting that this is an area which would benefit from further study.
Author(s): Ingram C, Riddle S
Publication type: Report
Publication status: Published
Series Title: School of Computing Science Technical Report Series
Year: 2012
Pages: 12
Print publication date: 01/03/2012
Source Publication Date: March 2012
Report Number: 1321
Institution: School of Computing Science, University of Newcastle upon Tyne
Place Published: Newcastle upon Tyne
URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1321.pdf
