Outputs (17)

Bayesian Graphical Models for Software Testing (2002)
Journal Article
Wooff, D., Goldstein, M., & Coolen, F. (2002). Bayesian Graphical Models for Software Testing. IEEE Transactions on Software Engineering, 28(5), 510-525. https://doi.org/10.1109/tse.2002.1000453

This paper describes a new approach to the problem of software testing. The approach is based on Bayesian graphical models and presents formal mechanisms for the logical structuring of the software testing problem, the probabilistic and statistical t... Read More about Bayesian Graphical Models for Software Testing.

Managing the uncertainties of software testing: a Bayesian approach. (2001)
Journal Article
Rees, K., Coolen, F., Goldstein, M., & Wooff, D. (2001). Managing the uncertainties of software testing: a Bayesian approach. Quality and Reliability Engineering International, 17, 191-203

Bayes Linear Methods III - Analysing Bayes linear influence diagrams and Exchangeability in [B/D]. (2000)
Journal Article
Wooff, D., & Goldstein, M. (2000). Bayes Linear Methods III - Analysing Bayes linear influence diagrams and Exchangeability in [B/D]. Journal of Statistical Software, 5(2),

Adjusting exchangeable beliefs. (1998)
Journal Article
Goldstein, M., & Wooff, D. (1998). Adjusting exchangeable beliefs. Biometrika, 85, 39-54. https://doi.org/10.1093/biomet/85.1.39

Choosing samples sizes in balanced experimental designs: a Bayes linear approach. (1997)
Journal Article
Goldstein, M., & Wooff, D. (1997). Choosing samples sizes in balanced experimental designs: a Bayes linear approach. Statistician (London. Print), 46, 167-183

Bayes linear computation: concepts, implementation and programming environment. (1995)
Journal Article
Goldstein, M., & Wooff, D. (1995). Bayes linear computation: concepts, implementation and programming environment. Statistics and Computing, 5, 327-341

Robustness measures for Bayes linear analysis (with discussion). (1994)
Journal Article
Goldstein, M., & Wooff, D. (1994). Robustness measures for Bayes linear analysis (with discussion). Journal of Statistical Planning and Inference, 40, 261-277