• DocumentCode
    3158202
  • Title

    Trend analysis on the metadata of program comprehension papers

  • Author

    Sulir, Matus ; Poruban, Jaroslav

  • Author_Institution
    Dept. of Comput. & Inf., Tech. Univ. of Kosice, Kosice, Slovakia
  • fYear
    2015
  • fDate
    11-12 June 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As program comprehension is a vast research area, it is necessary to get an overview of its rising and falling trends. We performed an n-gram frequency analysis on titles, abstracts and keywords of 1885 articles about program comprehension from the years 2000-2014. According to this analysis, the most rising trends are feature location and open source systems, the most falling ones are program slicing and legacy systems.
  • Keywords
    meta data; program slicing; software maintenance; legacy systems; meta data; n-gram frequency analysis; program comprehension; program slicing; trend analysis; Bibliographies; IEEE Xplore; Market research; Software; Software engineering; Visualization; Program comprehension; bibliography; n-grams; trends;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Modern Electric Systems (EMES), 2015 13th International Conference on
  • Conference_Location
    Oradea
  • Print_ISBN
    978-1-4799-7649-2
  • Type

    conf

  • DOI
    10.1109/EMES.2015.7158425
  • Filename
    7158425