SLDeep: Statement-level software defect prediction using deep-learning model on static code features
Summary
SLDeep: Statement-level software defect prediction using deep-learning model on static code features is a scholarly article[1].
Key Facts
SLDeep: Statement-level software defect prediction using deep-learning model on static code features's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SLDeep: Statement-level software defect prediction using deep-learning model on static code features. Retrieved May 24, 2026, from https://4ort.xyz/entity/sldeep-statement-level-software-defect-prediction-using-deep-learning-model-on-static-code-features
MLA“SLDeep: Statement-level software defect prediction using deep-learning model on static code features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sldeep-statement-level-software-defect-prediction-using-deep-learning-model-on-static-code-features.
BibTeX@misc{4ortxyz_sldeep-statement-level-software-defect-prediction-using-deep-learning-model-on-static-code-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SLDeep: Statement-level software defect prediction using deep-learning model on static code features}}, year = {2026}, url = {https://4ort.xyz/entity/sldeep-statement-level-software-defect-prediction-using-deep-learning-model-on-static-code-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SLDeep: Statement-level software defect prediction using deep-learning model on static code features — https://4ort.xyz/entity/sldeep-statement-level-software-defect-prediction-using-deep-learning-model-on-static-code-features (retrieved 2026-05-24)
