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Using Early Stage Project Data to Predict 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, University of Newcastle upon Tyne, 2012.

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

Abstract

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.

Publication metadata

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

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