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 Proceedings - 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.
paper
Cross-validation; Fault-proneness models; Logistic regression; Principal component analysis; Software faultiness; Software metrics; Software process; Testing process;
English
24th International Conference on Software Engineering (ICSE 2002) - 19 May 2002 through 25 May 2002
2002
Proceedings - International Conference on Software Engineering
9781581134728
2002
241
251
none
Denaro, G., Pezzè, M. (2002). An empirical evaluation of fault-proneness models. In Proceedings - International Conference on Software Engineering (pp.241-251). New York, NY : Association for Computing Machinery [10.1145/581339.581371].
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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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