Establishment of KETpic programming styles for drawing

Satoshi Yamashita, Yoshifumi Maeda, Hisashi Usui, Kiyoshi Kitahara, Hideyo Makishita, Kazushi Ahara

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

1 Citation (Scopus)

Abstract

When collegiate mathematics teachers make their original teaching materials, they often use TeX and CAS in order to insert figures and tables into the materials. TeX and CAS have their own programming languages, respectively. Programs must be written in a good style so that other people can read them. KETpic is a plug-in based on CAS to enable teachers to create figures as they like. KETpic has a programming language for drawing but its programming style is not yet established as a good programming style. In this paper we propose the requirements for a good KETpic programming style.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages641-646
Number of pages6
Volume8592 LNCS
ISBN (Print)9783662441985
DOIs
Publication statusPublished - 2014
Event4th International Congress on Mathematical Software, ICMS 2014 - Seoul
Duration: 2014 Aug 52014 Aug 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8592 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Congress on Mathematical Software, ICMS 2014
CitySeoul
Period14/8/514/8/9

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yamashita, S., Maeda, Y., Usui, H., Kitahara, K., Makishita, H., & Ahara, K. (2014). Establishment of KETpic programming styles for drawing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8592 LNCS, pp. 641-646). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8592 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-662-44199-2_96