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Performance papers
Class
assignment
Paper list
selected paper:
E. J. Weyuker and A. Avritzer (2002), "A
metric for predicting the performance of an application under a growing
workload," IBM Systems Journal 41(1): 45-54.
Paper trail Weyuker
Y. Zhang (2003), "Comparing
industry benchmarks for J2EE application server: IBM's trade2 vs Sun's
ECperf," Australasian computer science conference on Conference
in research and practice in information technology.
E. J. Weyuker and A. Avritzer (2002), "A
metric for predicting the performance of an application under a growing
workload," IBM Systems Journal 41(1): 45-54.
D. Petriu and M. Woodside (2002), "Analysing
software requirements specifications for performance," ACM Workshop
on Software and Performance.
Y. Liu, I. Gorton, N. Jiang, and S. Chen (2002), "Designing
a test suite for empirically-based middleware performance prediction,"Tools
Pacific: Objects for internet, mobile and embedded applications.
A. Avritzer, J. Kondek, D. Liu, and E. J. Weyuker (2002), "Software
performance testing based on workload characterization,".
J. A. Aries, S. Banerjee, and M. S. Brittan (2002), "Capacity
and performance analysis of distributed enterprise systems," Communications
of the ACM.
M. ARLITT, D. KRISHNAMURTHY, and J. ROLIA (2001), "Characterizing
the scalability of a large web-based shopping system," ACM Transactions
on Internet Technology.
F. I. Vokolos and E. J. Weyuker (1998), "Performance
testing of software systems," international workshop on Software
and performance.
D. A. Menascé and H. Gomaa (1998), "On
a language based method for software performance engineering of client/server
systems," Workshop on Software and Performance.
G. Franks, A. Hubbard, and S. Majumdar (1995), "A
toolset for performance engineering and software design of client-server
systems," Performance Evaluation.
B. Alpern and L. Carter (1995), "The
Myth of Scalable High Performance," SIAM Parallel Computing Conference.
A. Avritzer and B. Larson (1993), "Load
testing software using deterministic state testing," ACM symposium
on Software testing and analysis.
Software Bugs
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