On the use of visual clustering to identify landmarks in code navigation

Sandeep Reddivari, Mahesh Kotapalli

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings - 2017 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017
EditorsLiz Bacon, Jixin Ma, Lachlan MacKinnon
Pages219-228
Number of pages10
ISBN (Electronic)9781509057566
DOIs
StatePublished - Jun 30 2017
Event15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017 - London, United Kingdom
Duration: Jun 7 2017Jun 9 2017

Publication series

NameProceedings - 2017 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017

Conference

Conference15th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2017
Country/TerritoryUnited Kingdom
CityLondon
Period6/7/176/9/17

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Health Informatics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Management of Technology and Innovation
  • Information Systems and Management

Keywords

  • Code navigation
  • Layout-based clustering
  • Program comprehension
  • Software clustering
  • Software exploration
  • Software visualization
  • Static dependencies
  • Visual clustering

Cite this