Prediction of undetected faults in safety-critical software
Paper i proceeding, 2019

Safety-critical software systems need to meet exceptionally strict standards in terms of dependability. Best practice to achieve this is to follow and develop the software according to domain specific standards. These standards give guidelines on development and testing activities. The challenge is that even if you follow the steps of the appropriate standard you have no quantification of the amount of faults potentially still lingering in the system. This paper presents a way to statistically estimate the amount of undetected faults, based on test results.

Test

Software

Safety-critical

Fault prediction

Författare

Johan Sundell

Mälardalens högskola

Richard Torkar

Göteborgs universitet

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Testing, Requirements, Innovation and Psychology

Kristina Lundqvist

Mälardalens högskola

Hakan Forsberg

Mälardalens högskola

Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019

296-304 8728947

12th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019
Xi'an, China,

Ämneskategorier

Programvaruteknik

Datavetenskap (datalogi)

Datorsystem

DOI

10.1109/ICSTW.2019.00069

Mer information

Senast uppdaterat

2019-11-03