Title :
Evaluation of software testing process based on Bayesian networks
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, we will introduce a Bayesian networks (BN) approach for probability evaluation method of software quality assurance. Then, we will present a method for transforming Fault Tree Analysis (FTA) to Bayesian networks and build an evaluation model based on Bayesian networks. Bayesian networks can perform forward risk prediction and backward diagnosis analysis by deduction on the model. Finally, we will illustrate the rationality and validity of the Bayesian networks through an example of evaluation of software testing process.
Keywords :
belief networks; program testing; trees (mathematics); Bayesian networks; backward diagnosis analysis; fault tree analysis; forward risk prediction; software testing process; Artificial intelligence; Bayesian methods; Computer network management; Fault trees; Graphics; Performance analysis; Probability distribution; Random variables; Software quality; Software testing; Bayesian networks; Fault Tree Analysis; Software testing Probability evaluation;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485469
