Article

Using Metrics to Identify Design Patterns in Object-Oriented Software

Authors:

G. Antoniol,

R. Fiutem,

L. CristoforettiAuthors Info & Claims

METRICS '98: Proceedings of the 5th International Symposium on Software Metrics

Page 23

Published: 20 March 1998 Publication History

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Abstract

Object-Oriented design patterns are an emergent technology: they are reusable micro-architectures, high level building blocks.This paper presents a conservative approach, based on a multi-stage reduction strategy using OO software metrics and structural properties to extract structural design patterns from OO design or code. Code and design are mapped into an intermediate representation, called Abstract Object Language, to maintain independence from the programming language and the adopted CASE tools.To assess the effectiveness of the pattern recovery process a portable environment written in Java, remotely accessible by means of any WEB browser, has been developed. Based on this environment, experimental results obtained on public domain and industrial software are discussed in the paper.

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Yang STzerpos VHaddad HWainwright RChbeir R(2018)A model for analysis and presentation of design pattern detection resultsProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167292(1500-1509)Online publication date: 9-Apr-2018
https://dl.acm.org/doi/10.1145/3167132.3167292
Dwivedi ATirkey ARath S(2018)Software design pattern mining using classification-based techniquesFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6424-y12:5(908-922)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11704-017-6424-y
Duffee BAndras PTonelli RTempero ECounsell SVisaggio A(2015)Detecting communities of methods using dynamic analysis dataProceedings of the Sixth International Workshop on Emerging Trends in Software Metrics10.5555/2821491.2821496(11-20)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2821491.2821496
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Index Terms

Using Metrics to Identify Design Patterns in Object-Oriented Software
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Object oriented development
  2. Software notations and tools
    1. General programming languages
      1. Language types
        Object oriented languages

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METRICS '98: Proceedings of the 5th International Symposium on Software Metrics

March 1998

ISBN:0818692014

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IEEE Computer Society

United States

Publication History

Published: 20 March 1998

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Yang STzerpos VHaddad HWainwright RChbeir R(2018)A model for analysis and presentation of design pattern detection resultsProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167292(1500-1509)Online publication date: 9-Apr-2018
https://dl.acm.org/doi/10.1145/3167132.3167292
Dwivedi ATirkey ARath S(2018)Software design pattern mining using classification-based techniquesFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6424-y12:5(908-922)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11704-017-6424-y
Duffee BAndras PTonelli RTempero ECounsell SVisaggio A(2015)Detecting communities of methods using dynamic analysis dataProceedings of the Sixth International Workshop on Emerging Trends in Software Metrics10.5555/2821491.2821496(11-20)Online publication date: 16-May-2015
https://dl.acm.org/doi/10.5555/2821491.2821496
Dabain HManzer ATzerpos VWainwright RCorchado JBechini AHong J(2015)Design pattern detection using FINDERProceedings of the 30th Annual ACM Symposium on Applied Computing10.1145/2695664.2695900(1586-1593)Online publication date: 13-Apr-2015
https://dl.acm.org/doi/10.1145/2695664.2695900
Reddy NBahadur SSateesh KMeghanathan NWozniak M(2012)Risk chain prediction metrics for predicting fault proneness in object oriented systemsProceedings of the Second International Conference on Computational Science, Engineering and Information Technology10.1145/2393216.2393298(490-496)Online publication date: 26-Oct-2012
https://dl.acm.org/doi/10.1145/2393216.2393298
dos Anjos EGomes RZenha-Rela M(2012)Assessing maintainability metrics in software architectures using COSMIC and UMLProceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV10.1007/978-3-642-31128-4_10(132-146)Online publication date: 18-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31128-4_10
Sudhakar NGyani JMishra B(2010)TECDPProceedings of the International Conference and Workshop on Emerging Trends in Technology10.1145/1741906.1742077(735-736)Online publication date: 26-Feb-2010
https://dl.acm.org/doi/10.1145/1741906.1742077
Dobiš MMajtás L(2008)Mining design patterns from existing projects using static and run-time analysisProceedings of the Third IFIP TC 2 Central and East European conference on Software engineering techniques10.5555/2040660.2040668(62-75)Online publication date: 13-Oct-2008
https://dl.acm.org/doi/10.5555/2040660.2040668
Antoniol GGueheneuc Y(2006)Feature IdentificationIEEE Transactions on Software Engineering10.1109/TSE.2006.8832:9(627-641)Online publication date: 1-Sep-2006
https://dl.acm.org/doi/10.1109/TSE.2006.88
Vokac M(2004)Defect Frequency and Design PatternsIEEE Transactions on Software Engineering10.1109/TSE.2004.9930:12(904-917)Online publication date: 1-Dec-2004
https://dl.acm.org/doi/10.1109/TSE.2004.99
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Recommendations

Detection of Software Anomalies Using Object-oriented Metrics

Replacing Object-Oriented Design Patterns with Intrinsic Aspect-Oriented Design Patterns

Object-Oriented Inheritance Metrics: Cognitive Complexity Perspective

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