Citation and Topic Analysis of the ESEM Papers

Paivi Raulamo-Jurvanen, Mika V. Mantyla, Vahid Garousi

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

7 Citations (Scopus)
2 Downloads (Pure)

Abstract

Context: The pool of papers published in ESEM. Objective: To utilize citation analysis and automated topic analysis to characterize the SE research literature over the years focusing on those papers published in ESEM. Method: We collected data from Scopus database consisting of 513 ESEM papers. For thematic analysis, we used topic modeling to automatically generate the most probable topic distributions given the data. Results: Nearly 42% of the papers have not been cited at all but the effect seems to wear off as time passes. Using text mining of article titles and abstracts, we found that currently the most popular research topics in the ESEM community are: systematic reviews, testing, defects, cost estimation, and team work. Conclusions: While this study analyzes the paper pool of the ESEM symposium, the approach can easily be applied to any other sub-set of SE papers to conduct large scale studies. Due to large volumes of research in SE, we suggest using the automated analysis of bibliometrics as we have done in this paper.

Original languageEnglish
Title of host publication2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings
PublisherIEEE Computer Society
Pages136-139
Volume2015-November
ISBN (Electronic)9781467378994
DOIs
Publication statusPublished - 09 Nov 2015
Externally publishedYes
EventACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Beijing, China
Duration: 22 Oct 201523 Oct 2015

Conference

ConferenceACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015
CountryChina
CityBeijing
Period22/10/201523/10/2015

Keywords

  • bibliometrics
  • citation analysis
  • International Symposium on Empirical Software Engineering and Measurement (ESEM)
  • research literature
  • Software engineering
  • thematic and topic analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • Cite this

    Raulamo-Jurvanen, P., Mantyla, M. V., & Garousi, V. (2015). Citation and Topic Analysis of the ESEM Papers. In 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings (Vol. 2015-November, pp. 136-139). [7321193] IEEE Computer Society. https://doi.org/10.1109/ESEM.2015.7321193