document: Use of Bayesian Belief Networks when combining disparate sources of information in the safety assessment of software-based systems The paper discusses how disparate sources of information can be combined in the safety assessment of software-based systems . The emphasis is put on an emerging methodology , relevant for intelligent product-support systems , to combine information about disparate evidences systematically based on Bayesian Belief Networks . The objective is to show the link between basic information and the confidence one can have in a system . How one combines the Bayesian Belief Net -LRB- BBN -RRB- method with a software safety standard -LRB- RTCA/DO -178 B , -RRB- for safety assessment of software-based systems is also discussed . Finally , the applicability of the BBN methodology and experiences from cooperative research work together with Kongsberg Defence & Aerospace and Det Norske Veritas , and ongoing research with VTT Automation are presented
doc_bio_tags: O O B I I O O O O O O O O B I O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: bayesian belief networks software safety standard safety assessment
abstractive_keyphrases: intelligent product-support systems software-based systems