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Cited by 612

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

What are developers talking about? An analysis of topics and trends in Stack Overflow

Barua, Anton, Thomas, Stephen W., Hassan, Ahmed E.·2014·Empirical Software Engineering

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Citations

Cites

Show all 5 references

Research works printed but not linked: 33

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  12. Grant S, Cordy JR (2010) Estimating the optimal number of latent concepts in source code analysis. In: Proceedings of the 10th international working conference on source code analysis and manipulation, pp 65–74 · DOI
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  15. Hassan AE (2008) The road ahead for mining software repositories. In: Frontiers of software maintenance, pp 48–57 · DOI · Paper page
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  18. Linstead E, Lopes C, Baldi P (2008) An application of latent Dirichlet allocation to analyzing software evolution. In: Proceedings of the 7th international conference on machine learning and applications, pp 813–818 · doi:10.1109/icmla.2008.47
  19. Mamykina L, Manoim B, Mittal M, Hripcsak G, Hartmann B (2011) Design lessons from the fastest Q&A site in the west. In: Proceedings of the conference on human factors in computing systems, pp 2857–2866 · DOI · Paper page
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  29. Thomas SW, Adams B, Hassan AE, Blostein D (2010) Validating the use of topic models for software evolution. In: Proceedings of the 10th international working conference on source code analysis and manipulation, pp 55–64 · DOI
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Cited by

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Metadata

Authors
Barua, A., Thomas, S. W., & Hassan, A. E.
Venue
Empirical Software Engineering
Published
2012-11-01
Volume
19
Issue
3
Pages
619-654
ISSN
  • 1382-3256 (ISSN-L)
  • 1573-7616
OpenAlex
W2056894403
Cited by
612
References
5
FWCI
53.29
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

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CoChat. (2026). Citation check: What are developers talking about? An analysis of topics and trends in Stack Overflow. https://app.cochat.ai/papers/10.1007/s10664-012-9231-y
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Barua, A., Thomas, S. W., & Hassan, A. E. (2014). What are developers talking about? An analysis of topics and trends in Stack Overflow. Empirical Software Engineering. https://doi.org/10.1007/s10664-012-9231-y

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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