Abstract
A rather complex task in the performance analysis of software architectures has always been the interpretation of the analysis results and the generation of feedback that may help developers to improve their architecture with alternative ”better performing” solutions. This is due, on one side, to the fact that performance analysis results may be rather complex to interpret (e.g., they are often collections of different indices) and, on the other side, to the problem of coupling the ”right” architectural alternatives to results, that are the alternatives that allow to improve the performance by resolving critical issues in the architecture. In this paper we propose a framework to interpret the performance analysis results and to propose alternatives to developers that improve their architectural designs. The interpretation of results is based on the ability to automatically recognize performance anti-patterns in the software architecture. The whole process of result interpretation and generation of architectural alternatives is supported by a tool based on the Layered Queueing Network notation.
This work has been partially supported by the PLASTIC project: Providing Lightweight and Adaptable Service Technology for pervasive Information and Communication. EC - 6th Framework Programme. http://www.ist-plastic.org
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References
Balsamo, S., Di Marco, A., Inverardi, P., Simeoni, M.: Model-based Performance Prediction in Software Development: A Survey. IEEE Trans. on Soft. Eng. 30(5), 295–331 (2004)
Barber, S., Graser, T., Holt, J.: Enabling Iterative Software Architecture Derivation Using Early Non-Functional Property Evaluation. In: Proc. of the 17th IEEE ASE conference. IEEE Computer Society Press, Los Alamitos (2002)
Cortellessa, V., Frittella, L.: A framework for automated generation of architectural feedback from software performance analysis, TRCS 007-2007, Technical Report, Dipartimento di Informatica, University of L’Aquila (2007), http://www.di.univaq.it/cortelle/docs/feedbackreport.pdf
Dobrzanski, L., Kuzniarz, L.: An Approach to Refactoring of Executable UML Models. In: Proc. of ACM SAC. ACM Press, New York (2006)
Kazman, R., et al.: Quantifying the Costs and Benefits of Architectural Decisions. In: Proc. of ICSE 2001 (2001)
Lazowska, E., et al.: Quantitative System Performance - Computer System Analysis Using Queueing Network Models. Prentice-Hall Inc., Englewood Cliffs (1984)
Franks, G., et al.: Layered Queueing Network Solver and Simulator User Manual. Tech. Report, Department of Systems and Computer Engineering, Carleton University (2005), http://www.sce.carleton.ca/rads
Frittella, L.: Feedback Architetturale Basato su Sistematica Interpretazione di Software Performance Analysis (in italian). Master Thesis, Universitá degli Studi dell’Aquila, Italy (2006), http://www.di.univaq.it/cortelle/docs/TesiLaurento.pdf
Sancho, P., Juiz, C., Puigjaner, R.: Automatic Performance Evaluation and Feedback for MASCOT designs. In: Proc. of the 5th ACM WOSP. ACM Press, New York (2005)
Smith, C., Williams, L.: Software Performance AntiPatterns. In: Proc. of 2nd ACM WOSP. ACM Press, New York (2000)
Smith, C., Williams, L.: New Software Performance AntiPatterns: More Way to Shoot Yourself in the Foot. In: Proc. of CMG international conference (2002)
Smith, C., Williams, L.: More New Software Performance AntiPatterns: Even More Ways to Shoot Yourself in the Foot. In: Proc. of CMG international conference (2003)
Williams, L., Smith, C.: PASA: An Architectural Approach to Fixing Software Performance Problems. In: Proc. of CMG international conference (2002)
Woodside, M., Franks, G.: Tutorial Introduction to Layered Modeling of Software Performance, Tech. Report, Department of Systems and Computer Engineering, Carleton University (2005), http://www.sce.carleton.ca/rads
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Cortellessa, V., Frittella, L. (2007). A Framework for Automated Generation of Architectural Feedback from Software Performance Analysis. In: Wolter, K. (eds) Formal Methods and Stochastic Models for Performance Evaluation. EPEW 2007. Lecture Notes in Computer Science, vol 4748. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75211-0_13
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DOI: https://doi.org/10.1007/978-3-540-75211-0_13
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