short-paper

Detecting anti-patterns in Java EE runtime system model

Authors:

Gang HuangAuthors Info & Claims

Internetware '12: Proceedings of the Fourth Asia-Pacific Symposium on Internetware

Article No.: 21, Pages 1 - 8

https://doi.org/10.1145/2430475.2430496

Published: 30 October 2012 Publication History

Abstract

With the increasing complexity of enterprise applications, it becomes very challenging to create software systems which can exhibit a satisfactory performance behavior. In current system development practice, it often inevitably exists some "anti-patterns", which usually impede the performance or maintainability of software systems. Manually investigating anti-patterns in systems is a time-consuming and labor intensive task. To deal with this problem, we propose a general anti-pattern detection approach for Java EE application. Firstly, we propose a Java EE meta-model, based on which, we use QVT language to specify the detection process of anti-patterns. Secondly, we implement our approach on a runtime architecture-based reflective framework. When a Java EE application runs on one of the supported application servers, we can execute QVT script to detect whether or not there exists a specific anti-pattern in current system and get the report of potential problem components. At last, we perform a case study based on 35 well-known anti-patterns to evaluate the effectiveness and applicability of our approach.

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Cited By

St. Amour LTilevich EErtl MKirsch C(2024)Toward Declarative Auditing of Java Software for Graceful Exception HandlingProceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes10.1145/3679007.3685057(90-97)Online publication date: 13-Sep-2024
https://dl.acm.org/doi/10.1145/3679007.3685057
Ahmed ALiscano RAzim AChang YSundaresan V(2024)Java lock contention anti-patterns and their associated recommendations2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW60967.2024.00038(144-151)Online publication date: 27-May-2024
https://doi.org/10.1109/ICSTW60967.2024.00038
Liscano RAhmed ARobertson JAzim ASundaresan VChan Y(2023)A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns2023 International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA58977.2023.00165(1106-1113)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICMLA58977.2023.00165
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Detecting anti-patterns in Java EE runtime system model

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cover image ACM Other conferences

Internetware '12: Proceedings of the Fourth Asia-Pacific Symposium on Internetware

October 2012

204 pages

ISBN:9781450318884

DOI:10.1145/2430475

Conference Chairs:
Hong Mei
Peking University
,
Jian Lv
Nanjing University
,
Program Chairs:
Qianxiang Wang
Peking University
,
Lin Liu
Tsinghua University

Copyright © 2012 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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NJU: Nanjing University
Tsinghua University: Tsinghua University
CCF: China Computer Federation

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SIGSOFT: ACM Special Interest Group on Software Engineering

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2012

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Internetware '12

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NJU
Tsinghua University
CCF

Internetware '12: The Fourth Asia-Pacific Symposium on Internetware

October 30 - 31, 2012

Qingdao, China

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Cited By

St. Amour LTilevich EErtl MKirsch C(2024)Toward Declarative Auditing of Java Software for Graceful Exception HandlingProceedings of the 21st ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes10.1145/3679007.3685057(90-97)Online publication date: 13-Sep-2024
https://dl.acm.org/doi/10.1145/3679007.3685057
Ahmed ALiscano RAzim AChang YSundaresan V(2024)Java lock contention anti-patterns and their associated recommendations2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW60967.2024.00038(144-151)Online publication date: 27-May-2024
https://doi.org/10.1109/ICSTW60967.2024.00038
Liscano RAhmed ARobertson JAzim ASundaresan VChan Y(2023)A Lock Contention Classifier Based on Java Lock Contention Anti-Patterns2023 International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA58977.2023.00165(1106-1113)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICMLA58977.2023.00165
Rachow PWiese Mvan Hoorn A(2023)Taxonomy of Architecture Maintainability Smells2023 30th Asia-Pacific Software Engineering Conference (APSEC)10.1109/APSEC60848.2023.00013(31-40)Online publication date: 4-Dec-2023
https://doi.org/10.1109/APSEC60848.2023.00013
Szvetits MZdun U(2018)Systematic literature review of the objectives, techniques, kinds, and architectures of models at runtimeSoftware and Systems Modeling (SoSyM)10.1007/s10270-013-0394-915:1(31-69)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1007/s10270-013-0394-9
Fernandes EOliveira JVale GPaiva TFigueiredo EBeecham SKitchenham BMacDonell S(2016)A review-based comparative study of bad smell detection toolsProceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering10.1145/2915970.2915984(1-12)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1145/2915970.2915984

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