The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact
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Cites
Hartley, J. (2004) · Essential Guide to Qualitative Methods in Organizational Research · doi:10.4135/9781446280119.n26 · Cited by 15,461
Cited by
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
Just, R., Jalali, D., & Ernst, M. D. (2014) · Proceedings of the 2014 International Symposium on Software Testing and Analysis · doi:10.1145/2610384.2628055 · Cited by 1,447
Deepfake Detection: A Systematic Literature Review
Rana, M. S., Nobi, M. N., Murali, B., & Sung, A. H. (2022) · IEEE Access · doi:10.1109/access.2022.3154404 · Cited by 573
The ManyBugs and IntroClass benchmarks for automated repair of C programs
Le Goues, C., Holtschulte, N., Smith, E. K., Brun, Y., Devanbu, P., Forrest, S., & Weimer, W. (2015) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2015.2454513 · Cited by 326
Testing machine learning based systems: a systematic mapping
Riccio, V., Jahangirova, G., Stocco, A., Humbatova, N., Weiss, M., & Tonella, P. (2020) · Empirical Software Engineering · doi:10.1007/s10664-020-09881-0 · Cited by 251
Widyasari, R., Sim, S. Q., Lok, C., Qi, H., Phan, J., Tay, Q., Tan, C., Wee, F., Tan, J. E., Yieh, Y., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3368089.3417943 · Cited by 150
Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset
Martinez, M., Durieux, T., Xuan, J., Sommerard, R., & Monperrus, M. (2015) · arXiv · doi:10.48550/arxiv.1505.07002 · Cited by 47
Evaluating large language models for software testing
Li, Y., Liu, P., Wang, H., Chu, J., & Wong, W. E. (2025) · Computer Standards & Interfaces · doi:10.1016/j.csi.2024.103942 · Cited by 42
Using entropy measures for comparison of software traces
Miranskyy, A. V., Davison, M., Reesor, R. M., & Murtaza, S. S. (2012) · Information Sciences · doi:10.1016/j.ins.2012.03.017 · Cited by 27
Metadata
- Authors
- Do, H., Elbaum, S., & Rothermel, G.
- Venue
- Empirical Software Engineering
- Published
- 2005-10
- Volume
- 10
- Issue
- 4
- Pages
- 405-435
- ISSN
- 1382-3256 (ISSN-L)
- 1573-7616
- OpenAlex
- W1971137495
- Cited by
- 1,146
- References
- 1
- FWCI
- 93.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
