research-article

Linking software design metrics to component change-proneness

Authors:

Steve RiddleAuthors Info & Claims

WETSoM '11: Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics

Pages 31 - 37

https://doi.org/10.1145/1985374.1985384

Published: 24 May 2011 Publication History

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.

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Cited By

Ingram CRiddle SConcas GCanfora GTempero EZhang H(2012)Using early stage project data to predict change-pronenessProceedings of the 3rd International Workshop on Emerging Trends in Software Metrics10.5555/2669379.2669387(42-48)Online publication date: 3-Jun-2012
https://dl.acm.org/doi/10.5555/2669379.2669387
Ingram CRiddle S(2012)Using early stage project data to predict change-proneness2012 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM)10.1109/WETSoM.2012.6226992(42-48)Online publication date: Jun-2012
https://doi.org/10.1109/WETSoM.2012.6226992
Ingram CRiddle S(2011)Cost-Benefits of TraceabilitySoftware and Systems Traceability10.1007/978-1-4471-2239-5_2(23-42)Online publication date: 31-Oct-2011
https://doi.org/10.1007/978-1-4471-2239-5_2

Index Terms

Linking software design metrics to component change-proneness
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Empirical software validation
  2. Software organization and properties
    1. Software functional properties
      1. Formal methods

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cover image ACM Conferences

WETSoM '11: Proceedings of the 2nd International Workshop on Emerging Trends in Software Metrics

May 2011

90 pages

ISBN:9781450305938

DOI:10.1145/1985374

Program Chairs:
Giulio Concas
University of Cagliari, Italy
,
Ewan Tempero
University of Auckland, New Zealand
,
Hongyu Zhang
Tsinghua University, Beijing, China
,
Massimiliano Di Penta
University of Sannio, Italy

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 May 2011

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Cited By

Ingram CRiddle SConcas GCanfora GTempero EZhang H(2012)Using early stage project data to predict change-pronenessProceedings of the 3rd International Workshop on Emerging Trends in Software Metrics10.5555/2669379.2669387(42-48)Online publication date: 3-Jun-2012
https://dl.acm.org/doi/10.5555/2669379.2669387
Ingram CRiddle S(2012)Using early stage project data to predict change-proneness2012 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM)10.1109/WETSoM.2012.6226992(42-48)Online publication date: Jun-2012
https://doi.org/10.1109/WETSoM.2012.6226992
Ingram CRiddle S(2011)Cost-Benefits of TraceabilitySoftware and Systems Traceability10.1007/978-1-4471-2239-5_2(23-42)Online publication date: 31-Oct-2011
https://doi.org/10.1007/978-1-4471-2239-5_2

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