Research Article

Using Text Mining For Research Trends in Empirical Software Engineering

Volume: 24 Number: 3 September 1, 2021
EN TR

Using Text Mining For Research Trends in Empirical Software Engineering

Abstract

This paper intends to examine the research trends in Empirical Software Engineering domain within the last two decades using text mining. It studies published articles in the relevant literature with an emphasis on abstracts of 10658 articles published in the literature on Experimental Software Engineering domain. Using a probabilistic topic modelling technique (Latent Dirichlet Allocation), it brings forward the main topics of research within this domain. By further analysis, the paper evaluates the changes of focus in published works in the last two decades and depicts the recent trends in research content wise. Through a timely comparison, it portrays the alteration of interest within empirical software engineering research and proposes a future research agenda to develop an advanced field, beneficial both for academics and practitioners.

Keywords

References

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  2. [2] Höfer A. and Tichy W. F., “Status of empirical research in software engineering”, in Basili, V. (Eds.) et al., Empirical Software Engineering Issues, LNCS 4336, 10-19, Springer-Verlag, (2007).
  3. [3] Dieste O., Juristo N. and Martínez M.D., “Software industry experiments: A systematic literature review”, 1st International Workshop on Conducting Empirical Studies in Industry (CESI), 2-8, (2013).
  4. [4] Basili V., “The Role of Controlled Experiments in Software Engineering Research”, Empirical Software Engineering Issues, LNCS 4336, 33-37, Springer-Verlag, (2007).
  5. [5] Jeffery R., Scott L., “Has twenty-five years of empirical software engineering made a difference?”, 9th Asia-Pacific Software Engineering Conference, Australia, 539- 546, (2002).
  6. [6] Kitchenham B., “Empirical paradigm - the role of experiments”, International Conference on Empirical Software Engineering Issues: Critical Assessment and Future Direction, 25-32, (2006).
  7. [7] Kitchenham B.A., Pfleeger S.L., Pickard L.M., Jones P.W., Hoaglin D.C., El Emam K. and Rosenberg J., “Preliminary guidelines for empirical research in software engineering”, IEEE Transactions on Software Engineering, 28(8):721-734, (2002).
  8. [8] Sjoberg D.I.K., Dyba T. and Jorgensen M., “The future of empirical methods in software engineering research”, Future of Software Engineering, Minneapolis, MN, 358-378, (2007).

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

September 1, 2021

Submission Date

November 25, 2020

Acceptance Date

February 26, 2021

Published in Issue

Year 2021 Volume: 24 Number: 3

APA
Tokdemir, G. (2021). Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi, 24(3), 1227-1235. https://doi.org/10.2339/politeknik.831391
AMA
1.Tokdemir G. Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi. 2021;24(3):1227-1235. doi:10.2339/politeknik.831391
Chicago
Tokdemir, Gul. 2021. “Using Text Mining For Research Trends in Empirical Software Engineering”. Politeknik Dergisi 24 (3): 1227-35. https://doi.org/10.2339/politeknik.831391.
EndNote
Tokdemir G (September 1, 2021) Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi 24 3 1227–1235.
IEEE
[1]G. Tokdemir, “Using Text Mining For Research Trends in Empirical Software Engineering”, Politeknik Dergisi, vol. 24, no. 3, pp. 1227–1235, Sept. 2021, doi: 10.2339/politeknik.831391.
ISNAD
Tokdemir, Gul. “Using Text Mining For Research Trends in Empirical Software Engineering”. Politeknik Dergisi 24/3 (September 1, 2021): 1227-1235. https://doi.org/10.2339/politeknik.831391.
JAMA
1.Tokdemir G. Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi. 2021;24:1227–1235.
MLA
Tokdemir, Gul. “Using Text Mining For Research Trends in Empirical Software Engineering”. Politeknik Dergisi, vol. 24, no. 3, Sept. 2021, pp. 1227-35, doi:10.2339/politeknik.831391.
Vancouver
1.Gul Tokdemir. Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi. 2021 Sep. 1;24(3):1227-35. doi:10.2339/politeknik.831391

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