Description
| Title | Predicting software reliability using Bayesian belief networks. |
| Abstract | Predicting software reliability during early design specification helps to prevent failures and costly refactoring later on. I propose to semi-automatically map failure dependencies between interactions in UML sequence diagrams to a reliability prediction model in a Bayesian belief network. The approach was evaluated in two industrial case studies. During this WAI presentation I want to tell you about above research and welcome your feedback on the approach and findings. |
Other presentations by Klaas Andries de Graaf
| Date | Title |
|---|---|
| 18 April 2016 | Ontology-based Software Architecture Documentation in a Semantic Wiki |
| 13 February 2017 | Predicting software reliability using Bayesian belief networks. |
| 12 March 2018 | Semantic enrichment in SlideWiki – request for feedback. |