Ways of Applying Artificial Intelligence in Software Engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Feldt:2018:RAISE,

• author = "Robert Feldt and Francisco G. {de Oliveira Neto} and Richard Torkar",
• title = "Ways of Applying Artificial Intelligence in Software Engineering",
• booktitle = "IEEE/ACM 6th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2018",
• year = "2018",
• editor = "Walter F. Tichy and Leandro Minku",
• pages = "35--41",
• address = "Gothenburg, Sweden",
• month = "27 " # may,
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, SBSE",
• isbn13 = "978-1-4503-5723",
• URL = "https://arxiv.org/abs/1802.02033",
• DOI = "doi:10.1145/3194104.3194109",
• size = "7 pages",
• abstract = "As Artificial Intelligence (AI) techniques become more powerful and easier to use they are increasingly deployed as key components of modern software systems. While this enables new functionality and often allows better adaptation to user needs it also creates additional problems for software engineers and exposes companies to new risks. Some work has been done to better understand the interaction between Software Engineering and AI but we lack methods to classify ways of applying AI in software systems and to analyse and understand the risks this poses. Only by doing so can we devise tools and solutions to help mitigate them. This paper presents the AI in SE Application Levels (AI-SEAL) taxonomy that categorises applications according to their point of application, the type of AI technology used and the automation level allowed. We show the usefulness of this taxonomy by classifying 15 papers from previous editions of the RAISE workshop. Results show that the taxonomy allows classification of distinct AI applications and provides insights concerning the risks associated with them. We argue that this will be important for companies in deciding how to apply AI in their software applications and to create strategies for its use.",
• notes = "http://promisedata.org/raise/2018/ co-located with ICSE 2018",

}

Genetic Programming entries for Robert Feldt Francisco G de Oliveira Neto Richard Torkar

Citations