Citation and Topic Analysis of the ESEM Papers

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

doi:10.1109/ESEM.2015.7321193

Citation and Topic Analysis of the ESEM Papers

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

104 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 language	English
Title of host publication	2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	136-139
Volume	2015-November
ISBN (Electronic)	9781467378994
DOIs	https://doi.org/10.1109/ESEM.2015.7321193
Publication status	Published - 09 Nov 2015
Externally published	Yes
Event	ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Beijing, China Duration: 22 Oct 2015 → 23 Oct 2015

Conference

Conference	ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015
Country/Territory	China
City	Beijing
Period	22/10/2015 → 23/10/2015

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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Citation and Topic Analysis of the ESEM Papers
Copyright 2015 IEEE. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 204 KBLicence: Unspecified

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). Article 7321193 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ESEM.2015.7321193

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title = "Citation and Topic Analysis of the ESEM Papers",

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.",

keywords = "bibliometrics, citation analysis, International Symposium on Empirical Software Engineering and Measurement (ESEM), research literature, Software engineering, thematic and topic analysis",

author = "Paivi Raulamo-Jurvanen and Mantyla, \{Mika V.\} and Vahid Garousi",

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booktitle = "2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings",

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Raulamo-Jurvanen, P, Mantyla, MV & 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, 7321193, Institute of Electrical and Electronics Engineers Inc., pp. 136-139, ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015, Beijing, China, 22/10/2015. https://doi.org/10.1109/ESEM.2015.7321193

Citation and Topic Analysis of the ESEM Papers. / Raulamo-Jurvanen, Paivi; Mantyla, Mika V.; Garousi, Vahid.
2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 136-139 7321193.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Citation and Topic Analysis of the ESEM Papers

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AU - Mantyla, Mika V.

AU - Garousi, Vahid

PY - 2015/11/9

Y1 - 2015/11/9

N2 - 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.

AB - 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.

KW - bibliometrics

KW - citation analysis

KW - International Symposium on Empirical Software Engineering and Measurement (ESEM)

KW - research literature

KW - Software engineering

KW - thematic and topic analysis

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M3 - Conference contribution

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SP - 136

EP - 139

BT - 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2015

Y2 - 22 October 2015 through 23 October 2015

ER -

Citation and Topic Analysis of the ESEM Papers

Abstract

Conference

Keywords

ASJC Scopus subject areas

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