The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A Visual Text Mining approach for Systematic Reviews
Abstract
The software engineering research community has been adopting systematic reviews as an unbiased and fair way to assess a research topic. Despite encouraging early results, a systematic review process can be time consuming and hard to conduct. Thus, tools that help on its planning or execution are needed. This article suggests the use of Visual Text Mining (VTM) to aid systematic reviews. A feasibility study was conducted comparing the proposed approach with a manual process. We observed that VTM can contribute to Systematic Review and we propose a new strategy called VTM-Based Systematic Review.
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Cited by
Empirical studies of agile software development: A systematic review
Dybå, T., & Dingsøyr, T. (2008) · Information and Software Technology · doi:10.1016/j.infsof.2008.01.006 · Cited by 2,668
Guidelines for conducting systematic mapping studies in software engineering: An update
Petersen, K., Vakkalanka, S., & Kuzniarz, L. (2015) · Information and Software Technology · doi:10.1016/j.infsof.2015.03.007 · Cited by 2,669
Recommended Steps for Thematic Synthesis in Software Engineering
Cruzes, D. S., & Dyba, T. (2011) · 2011 International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2011.36 · Cited by 960
A systematic review of search-based testing for non-functional system properties
Afzal, W., Torkar, R., & Feldt, R. (2009) · Information and Software Technology · doi:10.1016/j.infsof.2008.12.005 · Cited by 447
Automation of systematic literature reviews: A systematic literature review
van Dinter, R., Tekinerdogan, B., & Catal, C. (2021) · Information and Software Technology · doi:10.1016/j.infsof.2021.106589 · Cited by 432
Metadata
- Authors
- Malheiros, V., Hohn, E., Pinho, R., Mendonca, M., & Maldonado, J. C.
- Venue
- First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
- Publisher
- IEEE
- Published
- 2007-09
- Pages
- 245-254
- ISSN
- 1938-6451 (ISSN-L)
- OpenAlex
- W2113035899
- Cited by
- 329
- References
- 37
- FWCI
- 3.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Malheiros, V., Hohn, E., Pinho, R., Mendonca, M., & Maldonado, J. C. (2007). A Visual Text Mining approach for Systematic Reviews. First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007). https://doi.org/10.1109/esem.2007.21
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