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Propagation of incremental changes to performance model due to SOA design pattern application

Authors:

Dorina C. Petriu,

Murray WoodsideAuthors Info & Claims

ICPE '13: Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering

Pages 89 - 100

https://doi.org/10.1145/2479871.2479887

Published: 21 April 2013 Publication History

Abstract

Design patterns for Service Oriented Architecture (SOA) provide solutions to architectural, design and implementation problems, involving software models in different layers of a SOA design. For performance analysis, a performance model can be generated from the SOA design and used to predict its performance. The impact of the design patterns is also reflected in the performance model. It is helpful to be able to trace the causality from the design pattern to its predicted performance impact. This paper describes a technique for automatically refactoring a SOA design model by applying a design pattern and for propagating the incremental changes to its LQN performance model. A SOA design model is expressed in UML extended with two standard profiles: SoaML for expressing SOA solutions and MARTE for performance annotations. The SOA design pattern is specified using a Role Based Modeling Language (RBML) and their application is automated using QVT-O. Automated incremental transformations are explored and evaluated for effectiveness on a case study example.

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Cited By

Mzid RSelvi SAbid M(2024)Research Landscape of Patterns in Software Engineering: Taxonomy, State-of-the-Art, and Future DirectionsSN Computer Science10.1007/s42979-024-02767-85:4Online publication date: 8-Apr-2024
https://doi.org/10.1007/s42979-024-02767-8
Altamimi TPetriu DMindel MLyons KWigglesworth J(2017)Incremental change propagation from UML software models to LQN performance modelsProceedings of the 27th Annual International Conference on Computer Science and Software Engineering10.5555/3172795.3172810(120-131)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.5555/3172795.3172810
Alam KAhmad RAkhunzada ANasir MKhan S(2015)Impact analysis and change propagation in service-oriented enterprisesInformation Systems10.1016/j.is.2015.06.00354:C(43-73)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1016/j.is.2015.06.003
Show More Cited By

Index Terms

Propagation of incremental changes to performance model due to SOA design pattern application
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results

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Published In

cover image ACM Conferences

ICPE '13: Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering

April 2013

446 pages

ISBN:9781450316361

DOI:10.1145/2479871

Editor:
Seetharami Seelam
IBM T.J. Watson Research Center, USA
,
General Chairs:
Petr Tůma
Charles University, Czech Republic
,
Giuliano Casale
Imperial College London, UK
,
Program Chairs:
Tony Field
Imperial College London, UK
,
José Nelson Amaral
University of Alberta, Canada

Copyright © 2013 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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SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGSOFT: ACM Special Interest Group on Software Engineering
SPEC: SPEC Research Group

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 April 2013

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ICPE'13: ACM/SPEC International Conference on Performance Engineering

April 21 - 24, 2013

Prague, Czech Republic

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ICPE '13 Paper Acceptance Rate 28 of 64 submissions, 44%;

Overall Acceptance Rate 252 of 851 submissions, 30%

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Cited By

Mzid RSelvi SAbid M(2024)Research Landscape of Patterns in Software Engineering: Taxonomy, State-of-the-Art, and Future DirectionsSN Computer Science10.1007/s42979-024-02767-85:4Online publication date: 8-Apr-2024
https://doi.org/10.1007/s42979-024-02767-8
Altamimi TPetriu DMindel MLyons KWigglesworth J(2017)Incremental change propagation from UML software models to LQN performance modelsProceedings of the 27th Annual International Conference on Computer Science and Software Engineering10.5555/3172795.3172810(120-131)Online publication date: 6-Nov-2017
https://dl.acm.org/doi/10.5555/3172795.3172810
Alam KAhmad RAkhunzada ANasir MKhan S(2015)Impact analysis and change propagation in service-oriented enterprisesInformation Systems10.1016/j.is.2015.06.00354:C(43-73)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1016/j.is.2015.06.003
Ewing JMenascé DLange KMurphy JBinder WMerseguer J(2014)A meta-controller method for improving run-time self-architecting in SOA systemsProceedings of the 5th ACM/SPEC international conference on Performance engineering10.1145/2568088.2568098(173-184)Online publication date: 22-Mar-2014
https://dl.acm.org/doi/10.1145/2568088.2568098
Trubiani CDi Marco ACortellessa VMani NPetriu DLange KMurphy JBinder WMerseguer J(2014)Exploring synergies between bottleneck analysis and performance antipatternsProceedings of the 5th ACM/SPEC international conference on Performance engineering10.1145/2568088.2568092(75-86)Online publication date: 22-Mar-2014
https://dl.acm.org/doi/10.1145/2568088.2568092
Amjad Alam KAhmad RAkhtar M(2014)Change Impact analysis and propagation in service based business process management systems preliminary results from a systematic review2014 8th. Malaysian Software Engineering Conference (MySEC)10.1109/MySec.2014.6985981(7-12)Online publication date: Sep-2014
https://doi.org/10.1109/MySec.2014.6985981
Alhaj MPetriu D(2013)Traceability Links in Model Transformations between Software and Performance ModelsSDL 2013: Model-Driven Dependability Engineering10.1007/978-3-642-38911-5_12(203-221)Online publication date: 2013
https://doi.org/10.1007/978-3-642-38911-5_12

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