Planning and allocating resources for testing is difficult and it is usually done on empirical basis, often leading to unsatisfactory results. The possibility of early estimating the potential faultiness of software could be of great help for planning and executing testing activities. Most research concentrates on the study of different techniques for computing multivariate models and evaluating their statistical validity, but we still lack experimental data about the validity of such models across different software applications. This paper reports an empirical study of the validity of multivariate models for predicting software fault-proneness across different applications. It shows that suitably selected multivariate models can predict fault-proneness of modules of different software packages

Denaro, G., Pezzè, M. (2002). An empirical evaluation of fault-proneness models. In ICSE '02. Proceedings of the 24th International Conference on Software Engineering (pp.241-251). New York, NY : Association for Computing Machinery [10.1145/581339.581371].

An empirical evaluation of fault-proneness models

Denaro, G;Pezzè, M
2002

Abstract

Planning and allocating resources for testing is difficult and it is usually done on empirical basis, often leading to unsatisfactory results. The possibility of early estimating the potential faultiness of software could be of great help for planning and executing testing activities. Most research concentrates on the study of different techniques for computing multivariate models and evaluating their statistical validity, but we still lack experimental data about the validity of such models across different software applications. This paper reports an empirical study of the validity of multivariate models for predicting software fault-proneness across different applications. It shows that suitably selected multivariate models can predict fault-proneness of modules of different software packages
No
paper
Fault proneness models
English
International Conference on Software Engineering MAY 19-25
1-58113-472-X
Denaro, G., Pezzè, M. (2002). An empirical evaluation of fault-proneness models. In ICSE '02. Proceedings of the 24th International Conference on Software Engineering (pp.241-251). New York, NY : Association for Computing Machinery [10.1145/581339.581371].
Denaro, G; Pezzè, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/16221
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