Performance evaluation and prediction for legacy information systems

Proceedings - International Conference on Software Engineering

Volumn , Issue , 2007, Pages 540-549

  Jin, Yan ^a   Tang, Antony ^a   Han, Jun ^a   Liu, Yan ^b  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^b CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA STRUCTURES; DATABASE SYSTEMS; INFORMATION SYSTEMS; SOFTWARE ARCHITECTURE;

DATABASE-CENTRIC INFORMATION SYSTEMS; LEGACY INFORMATION SYSTEMS; LOAD CONDITIONS;

LEGACY SYSTEMS;

EID: 34548798635     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSE.2007.64     Document Type: Conference Paper

References (20)

1. LQN documentation, http://www.sce.carleton.ca/rads/lqn/
2. A. Avritzer, J. Kondek, D. Liu, E.J. Weyuker. Software performance testing based on workload characterization. In Proc. Workshop on Software and Performance (WOSP), pp. 17-24, 2002.
3. A. Avritzer, E.J. Weyuker. The Role of Modeling in the Performance Testing of E-Commerce Applications. IEEE Trans. Software Eng. 30(12), pp. 1072-1083, 2004.
4. P.P. da Silva, A.H. Laender, P.B. Golgher. A Simulation Model for the Performance Evaluation when Migrating
5. Legacy Systems. In Proc. European Conf. Software Maintenance and Reengineering (CSMR), pp. 210-215, 2001.
6. A. D'Ambrogio. A model transformation framework for the automated building of performance models from UML models. In WOSP 2005, pp. 75-86.
7. G. Denaro, A. Polini, W. Emmerich. Early performance testing of distributed software applications. In WOSP 2004, pp. 94-103.
8. G. Franks, C.M. Woodside. Multiclass Multiservers with Deferred Operations in Layered Queueing Networks, with Software System Applications. In Proc. Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, pp. 239-248, 2004.
9. E.M. Friedman. Measuring Performance in the Lab and Validating it in Production. In Proc. Int. Computer Measurement Group Conf. (CMG), pp. 129-148, 2005.
10. M. Höst, E. Johansson. Performance Prediction Based on Knowledge of Prior Product Versions. In CSMR 2005, pp. 12-20.
11. D.A. Menascé, V.A.F. Almeida, L.W. Dowdy. Performance by Design: Computer Capacity Planning by Example, Prentice Hall, 2004.
12. R. Pooley. Software engineering and performance: a roadmap. In Proc. Int. Conf. Software Engineering (ICSE) - Future of SE Track, pp. 183-199, 2000.
13. J.A. Rolia, K.C. Sevcik. The method of layers. IEEE Trans. Software Eng. 21(8): 689-700, 1995.
14. M. Seltzer, D. Krinsky, K. Smith, X. Zhang, The Case for Application-Specific Benchmarking. In Workshop on Hot Topics in Operating Systems, pp. 102-107, 1999.
15. C.U. Smith, L.G. Williams. Best Practices for Software Performance Engineering. In CMG 2003, pp. 83-92.
16. C.U. Smith, L.G. Williams. Performance Solutions: A Practical Guide to Creating Responsive, Scalable Software, Addison-Wesley, 2002.
17. C.U. Smith, M. Woodside. Performance Validation at Early Stages of Software Development. In System Performance Evaluation: Methodologies and Applications, CRC Press, 1999.
18. P. Utton, B. Hill. Performance Prediction: an Industry Perspective. In Proc. Int. Conf. Modelling Techniques and Tools, LNCS 1245, pp. 1-5, 1997.
19. C.M. Woodside, D.C. Petriu, D.B. Petriu, H. Shen, T. Israr, J. Merseguer: Performance by Unified Model Analysis (PUMA). In WOSP 2005, pp. 1-12.
20. C.M. Woodside, J.E. Neilson, D.C. Petriu, S. Majumdar: The Stochastic Rendezvous Network Model for Performance of Synchronous Client-Server-like Distributed Software. IEEE Trans. Computers 44(1): 20-34, 1995.