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A Model-Based Framework for Software Performance Feedback

  • Conference paper
Models in Software Engineering (MODELS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6627))

Abstract

The problem of interpreting the results of performance analysis is quite critical in the software performance domain: mean values, variances, and probability distributions are hard to interpret for providing feedback to software architects. Support to the interpretation of such results that helps to fill the gap between numbers and architectural alternatives is still lacking.

The goal of my PhD thesis is to develop a model-based framework addressing the results interpretation and the feedback generation problems by means of performance antipatterns, that are recurring solutions to common mistakes (i.e. bad practices) in the software development. Such antipatterns can play a key role in the software performance domain, since they can be used in the search of performance problems as well as in the formulation of their solutions in terms of architectural alternatives.

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References

  1. GreatSPN, a GRaphical Editor and Analyzer for Timed and Stochastic Petri Nets, http://www.di.unito.it/~greatspn/index.html

  2. SAE, Architecture Analysis and Design Language (AADL), June 2006, as5506/1, http://www.sae.org

  3. UML 2.0 Superstructure Specification, Object Management Group, Inc. (2005), http://www.omg.org/cgi-bin/doc?formal/05-07-04

  4. UML Profile for MARTE beta 2, Object Management Group, Inc. (2008), http://www.omgmarte.org/Documents/Specifications/08-06-09.pdf

  5. WinPEPSY-QNS, a tool for calculating performance measures of Queueing Networks, http://www7.informatik.unierlangen.de/prbazan/pepsy

  6. Balsamo, S., Di Marco, A., Inverardi, P., Simeoni, M.: Model-based Performance Prediction in Software Development: A Survey. IEEE TSE 30(5), 295–310 (2004)

    Google Scholar 

  7. Barber, K.S., Graser, T.J., Holt, J.: Enabling Iterative Software Architecture Derivation Using Early Non-Functional Property Evaluation. In: International Conference on Automated Software Engineering (ASE), pp. 172–182 (2002)

    Google Scholar 

  8. Becker, S., Koziolek, H., Reussner, R.: The Palladio Component Model for model-driven performance prediction. JUSS 82, 3–22 (2009)

    Google Scholar 

  9. Bernardo, M., Donatiello, L., Ciancarini, P.: Stochastic Process Algebra: From an Algebraic Formalism to an Architectural Description Language. In: Performance, pp. 236–260 (2002)

    Google Scholar 

  10. Bézivin, J.: On the unification power of models. Software and System Modeling 4(2), 171–188 (2005)

    Article  Google Scholar 

  11. Brown, W.J., Malveau, R.C., McCormick III, H.W., Mowbray, T.J.: AntiPatterns: Refactoring Software, Architectures, and Projects in Crisis (1998)

    Google Scholar 

  12. Cortellessa, V., Di Marco, A., Eramo, R., Pierantonio, A., Trubiani, C.: Approaching the Model-Driven Generation of Feedback to Remove Software Performance Flaws. In: EUROMICRO-SEAA, pp. 162–169 (2009)

    Google Scholar 

  13. Cortellessa, V., Di Marco, A., Eramo, R., Pierantonio, A., Trubiani, C.: Digging into UML models to remove Performance Antipatterns. In: ICSE Workshop Quovadis, pp. 9–16 (2010)

    Google Scholar 

  14. Cortellessa, V., Di Marco, A., Trubiani, C.: Performance Antipatterns as Logical Predicates. In: IEEE International Conference on Engineering of Complex Computer Systems (ICECCS), pp. 146–156 (2010)

    Google Scholar 

  15. Cortellessa, V., Frittella, L.: A framework for automated generation of architectural feedback from software performance analysis. In: Wolter, K. (ed.) EPEW 2007. LNCS, vol. 4748, pp. 171–185. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Cortellessa, V., Martens, A., Reussner, R., Trubiani, C.: A process to effectively identify “Guilty” performance antipatterns. In: Rosenblum, D.S., Taentzer, G. (eds.) FASE 2010. LNCS, vol. 6013, pp. 368–382. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  17. Dudney, B., Asbury, S., Krozak, J.K., Wittkopf, K.: J2EE Antipatterns (2003)

    Google Scholar 

  18. Elaasar, M., Briand, L.C., Labiche, Y.: A metamodeling approach to pattern specification. In: Wang, J., Whittle, J., Harel, D., Reggio, G. (eds.) MoDELS 2006. LNCS, vol. 4199, pp. 484–498. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  19. France, R.B., Kim, D., Ghosh, S., Song, E.: A UML-Based Pattern Specification Technique. IEEE Trans. Software Eng. 30(3), 193–206 (2004)

    Article  Google Scholar 

  20. Grunske, L.: Specification patterns for probabilistic quality properties. In: ICSE, pp. 31–40 (2008)

    Google Scholar 

  21. Lazowska, E., Kahorjan, J., Graham, G.S., Sevcik, K.C.: Quantitative System Performance: Computer System Analysis Using Queueing Network Models (1984)

    Google Scholar 

  22. Ajmone Marsan, M., Balbo, G., Conte, G., Donatelli, S., Franceschinis, G.: Modelling with Generalized Stochastic Petri Nets (1995)

    Google Scholar 

  23. Object Management Group (OMG). OCL 2.0 Specification, 2006. OMG Document formal/2006-05-01

    Google Scholar 

  24. Parsons, T., Murphy, J.: Detecting Performance Antipatterns in Component Based Enterprise Systems. Journal of Object Technology 7(3), 55–90 (2008)

    Article  Google Scholar 

  25. Smith, C.U., Williams, L.G.: More new software performance antipatterns: Even more ways to shoot yourself in the foot. In: Comp. Meas. Group Conf. (2003)

    Google Scholar 

  26. Tate, B., Clark, M., Lee, B., Linskey, P.: Bitter EJB (2003)

    Google Scholar 

  27. Trubiani, C., Koziolek, A.: Detection and Solution of Software Performance Antipatterns in Palladio Architectural Models. In: Proceedings of the 2nd ACM/SPEC International Conference on Performance Engineering (ICPE), Karlsruhe, Germany, pp. 19–30. ACM, New York (2011)

    Google Scholar 

  28. Williams, L.G., Smith, C.U.: PASA(SM): An Architectural Approach to Fixing Software Performance Problems. In: International Computer Measurement Group Conference, pp. 307–320 (2002)

    Google Scholar 

  29. Woodside, C.M.: A Three-View Model for Performance Engineering of Concurrent Software. IEEE Trans. Software Eng. 21(9), 754–767 (1995)

    Article  Google Scholar 

  30. Woodside, C.M., Franks, G., Petriu, D.C.: The Future of Software Performance Engineering. In: FOSE, pp. 171–187 (2007)

    Google Scholar 

  31. Woodside, C.M., Petriu, D.C., Petriu, D.B., Shen, H., Israr, T., Merseguer, J.: Performance by Unified Model Analysis (PUMA). In: WOSP, pp. 1–12 (2005)

    Google Scholar 

  32. Xu, J.: Rule-based Automatic Software Performance Diagnosis and Improvement. In: WOSP, pp. 1–12. ACM, New York (2008)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica, University of L’Aquila, Via Vetoio n.1, 67010, Coppito, L’Aquila, Italy

    Catia Trubiani

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  1. Catia Trubiani
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Editor information

Editors and Affiliations

  1. School of Computing, Queen’s University, 723 Goodwin Hall, K7L 3N6, Kingston, ON, Canada

    Juergen Dingel

  2. SINTEF, Oslo, Norway

    Arnor Solberg

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Trubiani, C. (2011). A Model-Based Framework for Software Performance Feedback. In: Dingel, J., Solberg, A. (eds) Models in Software Engineering. MODELS 2010. Lecture Notes in Computer Science, vol 6627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21210-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-21210-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21209-3

  • Online ISBN: 978-3-642-21210-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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