An Effective Method for Fault Localization Based on Combination of Convolution and LSTM
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6882-4_66
Reference19 articles.
1. Zhao, G.Y., He, H.D., Huang, Y.F.: Fault centrality: boosting spectrum-based fault localization via local influence calculation. Appl. Intell. 52, 7113–7135 (2022). https://doi.org/10.1007/s10489-021-02822-4
2. Sarhan, Q.I., Beszedes, A.: A survey of challenges in spectrum-based software fault localization. IEEE Access 10, 10618–10639 (2022). https://doi.org/10.1109/access.2022.3144079
3. Abreu, R., Zoeteweij, P., Van Gemund, A.J.: Spectrum-based multiple fault localization. In: 2009 IEEE/ACM ICSE, pp. 16–20. IEEE, Auckland, New Zealand (2009). https://doi.org/10.1109/ase.2009.25
4. Gabriela, K.M., Jabier, M., Bruno, S.: Fault centrality: boosting spectrum-based fault localization via local influence calculation. Appl. Intell. 52, 7113–7135 (2022). https://doi.org/10.1007/s10489-021-02822-4
5. Wong, W.E., Gao, R., Li, Y., Rui, A., Wotawa, F.: A survey on software fault localization. IEEE Trans. Softw. Eng. 42, 707–740 (2016). https://doi.org/10.1109/TSE.2016.2521368
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