|Authors||C. M. Rosenberg and M. Liaaen|
|Title||SW Testing: Can ML save us?|
|Project(s)||The Certus Centre (SFI)|
|Publication Type||Talks, invited|
|Year of Publication||2018|
|Location of Talk||NDC TechTown 2018, Kongsberg, Norway|
Nothing has happened in testing for a long time. While products are getting ever more complex and the pressure to ship grows every day, we are still hand-crafting test cases and spending immense manual efforts, especially when testing GUIs and other complex aspects of the system.
In the past decade, however, there has been a massive Machine Learning renaissance, showing a lot of promise in all fields. How is it affecting software testing? We have been studying the trends for a while, and we will discuss the promising aspects as well as some fundamental limitations.