Evolutionary Algorithms for Software Testing in Facebook

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Sapienz:2018:sigevolution,

• title = "Evolutionary Algorithms for Software Testing in {Facebook}",
• journal = "SIGEVOlution",
• key = "SIGEVOlution",
• year = "2018",
• volume = "11",
• number = "2",
• pages = "7",
• month = "12 " # jul,
• keywords = "genetic algorithms, genetic programming, SBSE, mobile computing, smart phone",
• ISSN = "1931-8499",
• video_url = "https://www.youtube.com/watch?v=j3eV8NiWLg4",
• URL = "http://www.sigevolution.org/issues/SIGEVOlution1102.pdf",
• DOI = "doi:10.1145/3264700.3264702",
• size = "1 page",
• abstract = "Sapienz is an approach to Android testing that uses multi-objective evolutionary algorithms to automatically explore and optimise test sequences, minimising length, while simultaneously maximising coverage and fault revelation. It is in production now helping to improve the quality of Facebook software!",
• notes = "Yue Jia, Mark Harman, Ke Mao.

  Cites ISSTA 2016 \cite{mao:sapienz:16} https://doi.org/10.1145/2931037.2931054

  https://github.com/Rhapsod/sapienz Sapienz Prototype (Out-of-date)

  MaJiCKe Sapienz Multiobjective Automated Android Testing",

}

Genetic Programming entries for others_

Citations