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An analysis of anti-micro-patterns effects on fault-proneness in large Java systems

Authors:

Giuseppe Destefanis,

Roberto Tonelli,

Giulio Concas,

Michele MarchesiAuthors Info & Claims

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

Pages 1251 - 1253

https://doi.org/10.1145/2245276.2231972

Published: 26 March 2012 Publication History

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Abstract

Micro patterns are similar to design patterns, but are at a lower level of abstraction, closer to the implementation. Anti patterns are micro patterns not respecting the prescriptions of good Object Oriented programming practices. In this paper, we use the definitions introduced by Arcelli and Maggioni [3] in order to study the evolution of five particular micro patterns (anti patterns) in different releases of the Eclipse and NetBeans systems, and the correlations between anti patterns and faults. Our analysis confirms previous findings regarding the high coverage of micro patterns onto the system classes, and show that anti patterns not only represent bad Object Oriented programming practices, but may also be associated to the production of lower quality software, since they present a fault proneness significantly enhanced.

References

[1]

J. Y. Gil, I. Maman. Micro Patterns in Java Code. Proceedings of the 20th Object Oriented Programming Systems Languages and Applications, San Diego, CA, USA, pp:97--116, 2005.

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[2]

E. Gamma, R. Helm, R. Jhonson, J. Vlissides. Design Pattern: Elements of Reusable Object-Oriented Software. Addison Wesley, 1995.

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[3]

F. Arcelli and S. Maggioni. Metrics-based Detection of Micro Patterns to improve the Assesment of Software Quality. Proceedings of 1st Symposium on Emerging Trends in Software Metrics (ETSM 2009), Italy, May 2009.

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[4]

J. Bloch. Effective Java Programming Language Guide. Addison-Wesley, June 2011.

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Cited By

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Destefanis GQaderi SBowes DPetrić JOrtu MTurhan BTosun AMcIntosh S(2018)A Longitudinal Study of Anti Micro Patterns in 113 versions of TomcatProceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3273934.3273945(90-93)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3273934.3273945
Destefanis GMarchesi MOrtu MTonelli RBracciali AHierons R(2018)Smart contracts vulnerabilities: a call for blockchain software engineering?2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE)10.1109/IWBOSE.2018.8327567(19-25)Online publication date: 20-Mar-2018
https://doi.org/10.1109/IWBOSE.2018.8327567
Destefanis GOrtu MCounsell SSwift STonelli RMarchesi MShin SShin DLencastre M(2017)On the randomness and seasonality of affective metrics for software developmentProceedings of the Symposium on Applied Computing10.1145/3019612.3019786(1266-1271)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3019612.3019786
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Index Terms

An analysis of anti-micro-patterns effects on fault-proneness in large Java systems
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
    2. Software post-development issues
      1. Software reverse engineering

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Information

Published In

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

March 2012

2179 pages

ISBN:9781450308571

DOI:10.1145/2245276

Conference Chairs:
Sascha Ossowski
University Rey Juan Carlos, Spain
,
Paola Lecca
The Microsoft Research - University of Trento COSBI, Italy

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2012

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SIGAPP

SAC 2012: ACM Symposium on Applied Computing

March 26 - 30, 2012

Trento, Italy

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SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Destefanis GQaderi SBowes DPetrić JOrtu MTurhan BTosun AMcIntosh S(2018)A Longitudinal Study of Anti Micro Patterns in 113 versions of TomcatProceedings of the 14th International Conference on Predictive Models and Data Analytics in Software Engineering10.1145/3273934.3273945(90-93)Online publication date: 10-Oct-2018
https://dl.acm.org/doi/10.1145/3273934.3273945
Destefanis GMarchesi MOrtu MTonelli RBracciali AHierons R(2018)Smart contracts vulnerabilities: a call for blockchain software engineering?2018 International Workshop on Blockchain Oriented Software Engineering (IWBOSE)10.1109/IWBOSE.2018.8327567(19-25)Online publication date: 20-Mar-2018
https://doi.org/10.1109/IWBOSE.2018.8327567
Destefanis GOrtu MCounsell SSwift STonelli RMarchesi MShin SShin DLencastre M(2017)On the randomness and seasonality of affective metrics for software developmentProceedings of the Symposium on Applied Computing10.1145/3019612.3019786(1266-1271)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3019612.3019786
Ortu MDestefanis GSwift SMarchesi M(2016)Measuring high and low priority defects on traditional and mobile open source softwareProceedings of the 7th International Workshop on Emerging Trends in Software Metrics10.1145/2897695.2897696(1-7)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2897695.2897696
Ortu MDestefanis GOrru MTonelli RMarchesi M(2015)Could micro patterns be used as software stability indicator?2015 IEEE 2nd International Workshop on Patterns Promotion and Anti-patterns Prevention (PPAP)10.1109/PPAP.2015.7076850(11-12)Online publication date: Mar-2015
https://doi.org/10.1109/PPAP.2015.7076850
Concas GDestefanis GMarchesi MOrtu MTonelli R(2013)Micro Patterns in Agile SoftwareAgile Processes in Software Engineering and Extreme Programming10.1007/978-3-642-38314-4_15(210-222)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38314-4_15

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