Toward arbitrary mapping for debugging visualizations

Yung Pin Cheng, Chiu Yu Ku, Wei Chen Pan, Chuan Yang, Ting Shu Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Despite the progress that has been made in the field of program visualization, programmers nowadays still rely on inserting extra code (e.g. print statements) to visualize complicated program states during debugging. There are many obstacles that have impeded and continue to impede program visualization for practical use. One such major obstacle is that a wide variety of data types and interpretations from data to visualizations are arbitrary. It is unlikely that visualizations will be available a priori to cover everything that might be of interest. In an attempt to address the problem, a debugging visualization tool called xDIVA is presented here. A practical application of xDIVA in EDA (Electronic Design Automation) industry is described. Demonstrations and tool download can be accessed at "http://oolab.csie.ncu.edu.tw/xDIVA".

Original languageEnglish
Title of host publicationProceedings - 5th International Workshop on Green and Sustainable Software, GREENS 2016
PublisherIEEE Computer Society
Pages605-608
Number of pages4
ISBN (Electronic)9781450341615, 9781450342056
DOIs
StatePublished - 14 May 2016
Event2016 IEEE/ACM 38th IEEE International Conference on Software Engineering, ICSE 2016 - Austin, United States
Duration: 14 May 201622 May 2016

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257

Conference

Conference2016 IEEE/ACM 38th IEEE International Conference on Software Engineering, ICSE 2016
Country/TerritoryUnited States
CityAustin
Period14/05/1622/05/16

Keywords

  • Debuggers
  • Debugging visualization
  • Visualization

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