DocumentCode
2649997
Title
Evaluation of software testing process based on Bayesian networks
Author
Han, Laping
Author_Institution
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
Volume
7
fYear
2010
fDate
16-18 April 2010
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485469
Filename
5485469
Link To Document