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Using Text Mining For Research Trends in Empirical Software Engineering

Cilt: 24 Sayı: 3 1 Eylül 2021
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Using Text Mining For Research Trends in Empirical Software Engineering

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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.

Anahtar Kelimeler

Kaynakça

  1. [1] Garousi V. and Mäntylä M., “Citations, research topics and active countries in software engineering: A bibliometrics study”, Computer Science Review, 19: 56-77, (2016).
  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).

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Eylül 2021

Gönderilme Tarihi

25 Kasım 2020

Kabul Tarihi

26 Şubat 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 24 Sayı: 3

Kaynak Göster

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 (01 Eylül 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, c. 24, sy 3, ss. 1227–1235, Eyl. 2021, doi: 10.2339/politeknik.831391.
ISNAD
Tokdemir, Gul. “Using Text Mining For Research Trends in Empirical Software Engineering”. Politeknik Dergisi 24/3 (01 Eylül 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, c. 24, sy 3, Eylül 2021, ss. 1227-35, doi:10.2339/politeknik.831391.
Vancouver
1.Gul Tokdemir. Using Text Mining For Research Trends in Empirical Software Engineering. Politeknik Dergisi. 01 Eylül 2021;24(3):1227-35. doi:10.2339/politeknik.831391

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