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Cited by 6

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Assessing expert system-assisted literature reviews with a case study

Yu, Zhe, Carver, Jeffrey C., Rothermel, Gregg, Menzies, Tim·2022·Expert Systems with Applications
DOI 10.1016/j.eswa.2022.116958
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Research works printed but not linked: 16

  1. Bian, 2017, Epistasis based aco for regression test case prioritization, IEEE Transactions on Emerging Topics in Computational Intelligence, 1, 213, 10.1109/TETCI.2017.2699228 · DOI
  2. Carver, 2013, Identifying barriers to the systematic literature review process, 203
  3. Catal, 2013, Test case prioritization: a systematic mapping study, Software Quality Journal, 21, 445, 10.1007/s11219-012-9181-z · DOI
  4. Cormack, 2014, Evaluation of machine-learning protocols for technology-assisted review in electronic discovery, 153
  5. Cormack, G. V., & Grossman, M. R. (2017). Navigating imprecision in relevance assessments on the road to total recall: Roger and me. In The international ACM SIGIR conference (pp. 5–14). · DOI
  6. Do, 2010, The effects of time constraints on test case prioritization: A series of controlled experiments, IEEE Transactions on Software Engineering, 36, 593, 10.1109/TSE.2010.58 · DOI
  7. Dyba, 2005, Evidence-based software engineering for practitioners, IEEE Software, 22, 58, 10.1109/MS.2005.6 · DOI
  8. Elbaum, 2003, Understanding the effects of changes on the cost-effectiveness of regression testing techniques, Software Testing, Verification and Reliability, 13, 65, 10.1002/stvr.263 · DOI
  9. Grossman, 2013, The grossman-cormack glossary of technology-assisted review with foreword by john m. facciola, u.s. magistrate judge, Federal Courts Law Review, 7, 1
  10. Miller, 2013, Using dependency structures for prioritization of functional test suites, IEEE Transactions on Software Engineering, 39, 258, 10.1109/TSE.2012.26 · DOI
  11. Miwa, 2014, Reducing systematic review workload through certainty-based screening, Journal of Biomedical Informatics, 51, 242, 10.1016/j.jbi.2014.06.005 · DOI · Paper page
  12. Rothermel, 2001, Prioritizing test cases for regression testing, IEEE Transactions on Software Engineering, 27, 929, 10.1109/32.962562 · DOI
  13. Settles, 2012, Active learning, Synthesis Lectures on Artificial Intelligence and Machine Learning, 6, 1, 10.1007/978-3-031-01560-1 · DOI
  14. Wallace, B. C., Dahabreh, I. J., Moran, K. H., Brodley, C. E., & Trikalinos, T. A. (2013). Active literature discovery for scoping evidence reviews: How many needles are there. In KDD workshop on data mining for healthcare.
  15. Xiong, 2018, A machine learning aided systematic review and meta-analysis of the relative risk of atrial fibrillation in patients with diabetes mellitus, Frontiers in physiology, 9
  16. Yu, 2019, Improving vulnerability inspection efficiency using active learning, IEEE Transactions on Software Engineering, 1

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Metadata

Authors
Yu, Z., Carver, J. C., Rothermel, G., & Menzies, T.
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2022-08
Volume
200
Pages
116958
ISSN
0957-4174
DOI
10.1016/j.eswa.2022.116958
Cited by
6
References
4
Language
en
Licence

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CoChat. (2026). Citation check: Assessing expert system-assisted literature reviews with a case study. https://app.cochat.ai/papers/10.1016/j.eswa.2022.116958
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Yu, Z., Carver, J. C., Rothermel, G., & Menzies, T. (2022). Assessing expert system-assisted literature reviews with a case study. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2022.116958