STAGE: an Integrated Environment for Statistical Test Script Generation

  • Bernardo Copstein PUCRS
  • Flávio Oliveira PUCRS
  • Lucas R. C. Reginato PUCRS

Resumo


This work describes STAGE, an integrated environment for statistical test case generation and scripting, developed at the CPTS (Software Testing Research Center). The key contributions of the system are the use of stochastic automata networks (SANs) for representing the usage model and an intermediate model (called the Interface Event-State Model) to map the abstract usage model into the implemented interface components. SANs allow modular representation of systems with complex non-deterministic behavior, minimizing the state-space explosion found in Markov chains. The use of a separate model for the implementation has the advantage of making changes in the interface and generating the script automatically without affecting the abstract usage model. We implemented the technique into the STAGE environment; the experiments indicate that the performance of test case and script generation with SANs is at least compatible with Markov-based generation.

Referências

Farina, A.G.; Fernandes, P H L; Oliveira, F.M.. “Representing Usage Models With Stochastic Automats Networks”. In: 14th International Conference On Software Engineering And Knowledge Engineering - SEKE02, 2002, Ischia, Italy.

Fernandes, P. Méthodes numériques pour la solution de systèmes Markoviens à grand espace d’ états. INPG, Grenoble, 1998. (PhD Thesis)

Fernandes, P., Plateau, B. and Stewart, W.J. Efficient descriptor-vector multiplication in stochastic automata networks. Journal of the ACM, volume 45, no. 3, 1998, pp. 281-414.

J.M.Fourneau, B.Plateau. PEPS: a package for solving complex Markov models of parallel systems. In: Proceedings of the Fourth International Conference on Modelling Techniques and Tools for Computer Performance Evaluation. Palma, Spain, 1988.

Fujiwara, S.; Bochmann G. V.; Khendek F.; Amalou M. and Ghedemsi A. Test Selection Based on Finite State Model. IEEE Transactions On Software Engineering, vol 17(6):591-603, 1991.

Kallepalli, C.; Tian J. - Measuring and Modeling Usage and Reliability for Statistical Web Testing. IEEE Transactions on Sotware Engineering, vol 27(11):1023-1036, 2001.

Rational products. Description available at URL http://www.rational.com/products/. Accessed 9/19/2003.

Sayre, K. Improved Techniques for Software Testing Based on Markov Chain Usage Models. PhD thesis. University of Tennessee, Knoxville, December 1999.

Shehady, R.K.; Siewiorek, D.P.; A method to automate user interface testing using variable finite state machines Fault-Tolerant Computing, 1997. FTCS-27. Digest of Papers., Twenty-Seventh Annual International Symposium on Fault-Tolerant Computing, 24-27 June 1997. Page(s): 80-88

Trammel, C. Quantifying the Reliability of Software: Statistical Testing Based on a Usage Model. Proceedings of the Second IEEE International Symposium on Software Engineering Standards, Canada, August 1995
Publicado
10/05/2004
Como Citar

Selecione um Formato
COPSTEIN, Bernardo; OLIVEIRA, Flávio; REGINATO, Lucas R. C.. STAGE: an Integrated Environment for Statistical Test Script Generation. In: WORKSHOP DE TESTES E TOLERÂNCIA A FALHAS (WTF), 5. , 2004, Gramado/RS. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2004 . p. 73-84. ISSN 2595-2684. DOI: https://doi.org/10.5753/wtf.2004.23381.