Traceability Links in Model Transformations between Software and Performance Models

Alhaj, Mohammad; Petriu, Dorina C.

doi:10.1007/978-3-642-38911-5_12

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…PUMA) also generates the basic element-to-element mapping between SModel and PModel elements (i.e. in form of a mapping table), as described in [16]. In this paper, the initial mapping table provided by PUMA is extended with the additional higherlevel types of traceability link, as described in this section.…”

Section: Traceability Links and Mapping Tablementioning

confidence: 99%

Cross-Model Traceability for Coupled Transformation of Software and Performance Models

Mani

Petriu

Woodside

2016

International Conferences on Software Engineering and Knowledge Engineering

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Section: Traceability Links and Mapping Tablementioning

confidence: 99%

Cross-Model Traceability for Coupled Transformation of Software and Performance Models

Mani

Petriu

Woodside

2016

International Conferences on Software Engineering and Knowledge Engineering

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“…This work uses it with UML SModels (for the SOA designs) annotated with MARTE, and LQN PModels. The SModel-to-PModel mapping of [9] is extended here to support the coupling of the refactoring transformations.…”

Section: Related Workmentioning

confidence: 99%

“…When the PModel is derived from the SModel using the PUMA [2] process, the mapping between the corresponding elements of the two models is recorded as described in [9], extended to identify a set of Actions initiated by a Call (an ActivitySet), and pairs of Call and Reply Actions. There are three mapping sub-tables, for StructuralElements, Calls, and Attributes.…”

Section: Smodel To Pmodel Mapping Tablementioning

confidence: 99%

Exploring SOA Pattern Performance using Coupled Transformations and Performance Models

Mani

Petriu

Woodside

2015

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-Service Oriented Architecture (SOA) patterns can be applied to improve different qualities of SOA designs. The performance impact of a pattern (improvement or degradation) may affect its use, so we assess its impact by automatically generated performance models for the original design and for each candidate pattern and pattern variation. This paper proposes a technique to incrementally propagate the changes from the software to the performance model. The technique formally records the refactoring of the design model when applying a pattern, and uses this record to generate a coupled transformation of the performance model. The SOA design is modeled in UML extended with two profiles, SoaML and MARTE; the patterns are specified using Role Based Modeling and the performance model is expressed in Layered Queuing Networks. Application of the process, and pattern performance exploration, is demonstrated on a case study.

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“…The work in this thesis uses a mapping table containing traceability links which are established by PUMA4SOA. These traceability links and the concept behind them are discussed by the authors in [58] and the mapping table containing these links is discussed in Chapter 4 below. The mapping table is used to propagate the design pattern changes from the SModel to the PModel.…”

Section: Performance Model In Lqn (Pmodel)mentioning

confidence: 99%

“…PUMA4SOA [57,106,107] modeling framework, an extension of PUMA [3] that generates a LQN performance model from the UML design model of a SOA system is capable of creating these trace links. The procedure to create such links during the PUMA4SOA process is discussed in [58].…”

Section: Chapter 4 Mapping Tablementioning

confidence: 99%

Studying the Performance Impact of SOA Design Patterns via Coupled Model Transformations

Mani¹

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Early performance analysis of designs for Service Oriented Architecture (SOA) can be based on performance models derived from the design models using known techniques, such as Performance from Unified Model Analysis (PUMA). When a SOA design pattern is applied to solve some architectural, design or implementation problem, it impacts the design model and its derived performance model. Conventionally, the performance model needs to be reconstructed to reflect the design pattern changes on the design model. This thesis proposes a technique to trace the causality from the design changes introduced by the pattern application to the corresponding changes in the performance model. The approach takes as input a SOA design model expressed in UML extended with two standard profiles: SoaML for expressing SOA solutions and MARTE for performance annotations. The SOA design patterns are specified using Role Based Modeling (RBM) and the performance model is expressed in Layered Queueing Networks (LQN). To support the exploration of different patterns, the thesis proposes the following approaches: 1) Systematic identification of SOA design problem, selecting an appropriate pattern and binding the design with the RBM problem specification of the pattern; 2) Systematic recording of the SOA design changes (refactoring) using the RBM pattern solution specification; 3) Automatic derivation of the corresponding performance model changes from the design model changes using coupled transformation; 4) Automatic derivation of transformation directives from the performance model changes and annotation of the performance model with the transformation directives; 5) Automatic refactoring of the performance model by QVT model transformation. iii Systematic and automated pattern exploration techniques and the tools support developed in the thesis are illustrated and evaluated with a Browsing and Shopping SOA case study.A test suite was designed and used to verify all the major functionalities of the proposed approach. Furthermore, several design patterns are applied to the Browsing and Shopping SOA to validate their effectiveness in the process of performance analysis by a system designer.iv

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Traceability Links in Model Transformations between Software and Performance Models

Cited by 7 publications

References 13 publications

Cross-Model Traceability for Coupled Transformation of Software and Performance Models

Cross-Model Traceability for Coupled Transformation of Software and Performance Models

Exploring SOA Pattern Performance using Coupled Transformations and Performance Models

Studying the Performance Impact of SOA Design Patterns via Coupled Model Transformations

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