W.B.Langdon . 12 Oct 2017 2017 papers , full list
William B. Langdon and Shin Yoo and Mark Harman, In Search-Based Software Testing SBST-2017, Juan P. Galeotti and Justyna Petke (eds.), Buenos Aires, Argentina, May 22-23th 2017, ACM DOI PDF Slides spotify
We propose the use of search based learning from existing open source test suites to automatically generate partially correct test oracles. We argue that mutation testing and n-version computing (augmented by deep learning and other soft computing techniques), will be able to predict whether a program's output is correct sufficiently accurately to be useful.
co-located with ICSE 2017