Delphi: A source-code analysis and manipulation system for bricklayer

Victor Winter, Betty Love, Chris Harris

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

Abstract

Delphi is a source-code analysis and manipulation system being developed to analyze and transform Bricklayer programs. The information obtained from Delphi analysis can be used to generate problem- specific text in the form of a mini-lecture. This opens the door to the automated integration of such texts with commercial animation software and text-To-speech (TTS) tools. The result is a scalable infras-Tructure capable of providing formative feedback to students in the form of an animated cartoon whose information is personalized (e.g. male/female actors, use of slang and dialects) and problem-specific. This feedback can be provided in a timely fashion and can ease technical burdens on educators that teach coding across the K-12 spectrum.

Original languageEnglish (US)
Title of host publicationProceedings - SEKE 2017
Subtitle of host publication29th International Conference on Software Engineering and Knowledge Engineering
PublisherKnowledge Systems Institute Graduate School
Pages456-461
Number of pages6
ISBN (Electronic)1891706411
DOIs
StatePublished - 2017
Event29th International Conference on Software Engineering and Knowledge Engineering, SEKE 2017 - Pittsburgh, United States
Duration: Jul 5 2017Jul 7 2017

Publication series

NameProceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
ISSN (Print)2325-9000
ISSN (Electronic)2325-9086

Other

Other29th International Conference on Software Engineering and Knowledge Engineering, SEKE 2017
CountryUnited States
CityPittsburgh
Period7/5/177/7/17

ASJC Scopus subject areas

  • Software

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  • Cite this

    Winter, V., Love, B., & Harris, C. (2017). Delphi: A source-code analysis and manipulation system for bricklayer. In Proceedings - SEKE 2017: 29th International Conference on Software Engineering and Knowledge Engineering (pp. 456-461). (Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE). Knowledge Systems Institute Graduate School. https://doi.org/10.18293/SEKE2017-010