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Towards a conceptual framework for object oriented software metrics

Authors:

Neville I. Churcher,

Martin J. ShepperdAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 20, Issue 2

Pages 69 - 75

https://doi.org/10.1145/224155.224163

Published: 01 April 1995 Publication History

Abstract

The development of software metrics for object oriented (OO) languages is receiving increasing attention. We examine the reasons why this is a much more challenging problem than for conventional languages. It seems premature to develop and apply OO metrics while there remains uncertainty not only about the precise definitions of many fundamental quantities and their subsequent impact on derived metrics, but also a lack of qualitative understanding of the structure and behaviour of OO systems. We argue that establishing a standard terminology and data model will help provide a framework for both theoretical and empirical work and increase the chances of early success. One potential benefit is improvement of the ability to perform independent validation of models and metrics. We propose a data model and terminology and illustrate the importance of such definitions by examining the seemingly straightforward concept of the number of methods per class. We discuss the implications of ambiguities in definitions for a suite of metrics which has recently been proposed. Preliminary results from our analysis of industrial systems are presented.

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Cited By

Srivastava DSingh A(2017)Classification of Technical and Management Metrics in Object Oriented Software EngineeringProceedings of International Conference on Communication and Networks10.1007/978-981-10-2750-5_29(277-286)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-981-10-2750-5_29
Huang YChen XLiu ZLuo XZheng Z(2017)Using discriminative feature in software entities for relevance identification of code changesJournal of Software: Evolution and Process10.1002/smr.185929:7(e1859)Online publication date: 17-Mar-2017
https://doi.org/10.1002/smr.1859
Eyal Salman HSeriai ADony C(2015)Feature-Level Change Impact Analysis Using Formal Concept AnalysisInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819401540004525:01(69-92)Online publication date: Feb-2015
https://doi.org/10.1142/S0218194015400045
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Index Terms

Towards a conceptual framework for object oriented software metrics
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Visual languages
    2. General programming languages
      1. Language features
        Data types and structures
      2. Language types

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Published In

cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 20, Issue 2

April 1995

92 pages

ISSN:0163-5948

DOI:10.1145/224155

Editors:
Lori Clarke
Univ. of Massachusetts, Amherst
,
Will Tracz
Loral Federal Systems, Owego, NY

Issue’s Table of Contents

Copyright © 1995 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 April 1995

Published in SIGSOFT Volume 20, Issue 2

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Cited By

Srivastava DSingh A(2017)Classification of Technical and Management Metrics in Object Oriented Software EngineeringProceedings of International Conference on Communication and Networks10.1007/978-981-10-2750-5_29(277-286)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-981-10-2750-5_29
Huang YChen XLiu ZLuo XZheng Z(2017)Using discriminative feature in software entities for relevance identification of code changesJournal of Software: Evolution and Process10.1002/smr.185929:7(e1859)Online publication date: 17-Mar-2017
https://doi.org/10.1002/smr.1859
Eyal Salman HSeriai ADony C(2015)Feature-Level Change Impact Analysis Using Formal Concept AnalysisInternational Journal of Software Engineering and Knowledge Engineering10.1142/S021819401540004525:01(69-92)Online publication date: Feb-2015
https://doi.org/10.1142/S0218194015400045
Revelle MGethers MPoshyvanyk D(2011)Using structural and textual information to capture feature coupling in object-oriented softwareEmpirical Software Engineering10.1007/s10664-011-9159-716:6(773-811)Online publication date: 1-Dec-2011
https://dl.acm.org/doi/10.1007/s10664-011-9159-7
Krishnapriya VRamar K(2010)Exploring the Difference Between Object Oriented Class Inheritance and Interfaces Using Coupling MeasuresProceedings of the 2010 International Conference on Advances in Computer Engineering10.1109/ACE.2010.25(207-211)Online publication date: 20-Jun-2010
https://dl.acm.org/doi/10.1109/ACE.2010.25
Sarkar SKak ARama G(2008)Metrics for Measuring the Quality of Modularization of Large-Scale Object-Oriented SoftwareIEEE Transactions on Software Engineering10.1109/TSE.2008.4334:5(700-720)Online publication date: Sep-2008
https://doi.org/10.1109/TSE.2008.43
Dieste OPadua A(2007)Developing Search Strategies for Detecting Relevant Experiments for Systematic ReviewsProceedings of the First International Symposium on Empirical Software Engineering and Measurement10.1109/ESEM.2007.39(215-224)Online publication date: 20-Sep-2007
https://dl.acm.org/doi/10.1109/ESEM.2007.39
Chhabra JAggarwal K(2006)Measurement of Intra-Class & Inter-Class Weakness for Object-Oriented SoftwareProceedings of the Third International Conference on Information Technology: New Generations10.1109/ITNG.2006.89(155-160)Online publication date: 10-Apr-2006
https://dl.acm.org/doi/10.1109/ITNG.2006.89
Churcher NIrwin W(2005)Informing the design of pipeline-based software visualisationsproceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 4510.5555/1082315.1082325(59-68)Online publication date: 1-Jan-2005
https://dl.acm.org/doi/10.5555/1082315.1082325
Irwin WCook CChurcher N(2005)Parsing and Semantic Modelling for Software Engineering ApplicationsProceedings of the 2005 Australian conference on Software Engineering10.1109/ASWEC.2005.36(180-189)Online publication date: 29-Mar-2005
https://dl.acm.org/doi/10.1109/ASWEC.2005.36
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