PiE: Programming in Eliza

Xiao Liu, Dinghao Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Eliza, a primitive example of natural language processing, adopts a rule-based method to conduct simple conversations with people. In this paper, we extend Eliza for a novel application. We propose a system to assist with program synthesis called Programming in Eliza (PiE). According to a set of rules, PiE can automatically synthesize programs from natural language conversations between Eliza and users. PiE is useful for programming in domain-specific languages. We have implemented PiE to synthesize programs in the LOGO programming language, and our experimental results show that, on average, the success ratio is 88.4% for synthesizing LOGO programs from simple conversations with Eliza. PiE also enables end-users with no experience to program in LOGO with a smoother learning curve.

Original languageEnglish (US)
Title of host publicationASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering
PublisherAssociation for Computing Machinery, Inc
Pages695-700
Number of pages6
ISBN (Electronic)9781450330138
DOIs
StatePublished - Jan 1 2014
Event29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014 - Vasteras, Sweden
Duration: Sep 15 2014Sep 19 2014

Publication series

NameASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering

Other

Other29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014
CountrySweden
CityVasteras
Period9/15/149/19/14

All Science Journal Classification (ASJC) codes

  • Software

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