Autonomous Real-time Software & Systems Testing
Title | Autonomous Real-time Software & Systems Testing |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Fehlmann, Thomas, Kranich, Eberhard |
Conference Name | Proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement |
Date Published | October 2017 |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4853-9 |
Keywords | Automated Testing, defects density, headcombinatory logic, legal compliance, Measurement, Metrics, metrics for software testing, metrics testing, pubcrawl, real-time testing, six sigma for software, testing the internet of things (iot) |
Abstract | For the Internet of Things (IoT), for safety in automotive, or for data protection, to be legally compliant requires testing the impact of any actions before allowing them to occur. However, system boundaries change at runtime. When adding a new, previously unknown device to an IoT orchestra, or when an autonomous car meets another, or with truck platooning, the original base system expands and needs being tested before it can do decisions with the potential of affecting harm to humans. This paper explains the theory and outlines the implementation approach a framework for autonomous real-time testing of a software-based system while in operation, with an example from IoT. |
URL | https://dl.acm.org/doi/10.1145/3143434.3143444 |
DOI | 10.1145/3143434.3143444 |
Citation Key | fehlmann_autonomous_2017 |