Home › Entities › academia › Software Defect Prediction Model Using AdaBoost based Random Forest Technique

Software Defect Prediction Model Using AdaBoost based Random Forest Technique

Research article (2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023) · cited 13× · AI/ML
academia openalex:W4388936901
Press Enter · cited answer in seconds

Software Defect Prediction Model Using AdaBoost based Random Forest Technique

Summary

Software Defect Prediction Model Using AdaBoost based Random Forest Technique is a scholarly article[1].

Key Facts

  • Software Defect Prediction Model Using AdaBoost based Random Forest Technique's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Software Defect Prediction Model Using AdaBoost based Random Forest Technique. Retrieved May 24, 2026, from https://4ort.xyz/entity/software-defect-prediction-model-using-adaboost-based-random-forest-technique
MLA “Software Defect Prediction Model Using AdaBoost based Random Forest Technique.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/software-defect-prediction-model-using-adaboost-based-random-forest-technique.
BibTeX @misc{4ortxyz_software-defect-prediction-model-using-adaboost-based-random-forest-technique_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Software Defect Prediction Model Using AdaBoost based Random Forest Technique}}, year = {2026}, url = {https://4ort.xyz/entity/software-defect-prediction-model-using-adaboost-based-random-forest-technique}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Software Defect Prediction Model Using AdaBoost based Random Forest Technique — https://4ort.xyz/entity/software-defect-prediction-model-using-adaboost-based-random-forest-technique (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/software-defect-prediction-model-using-adaboost-based-random-forest-technique · Last refreshed: