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TrustX-Defect

Comprehensive project workspace for software defect prediction experiments with explainable AI (XAI), cross-project transfer analysis, statistical testing, and academic reporting artifacts.

Repository Snapshot

  • Absolute path: /Users/uditjain/Downloads/Final_Year_Project
  • Last README refresh: 2026-04-30 09:32
  • Primary artifact types: .ipynb, .arff, .csv, .xlsx, .pdf, .pptx, .png, .docx

Top-Level Files

File Size Last Modified Purpose
README.md 2.40 KB 2026-04-30 09:28 Master repository documentation and navigation guide.
XAI.docx 193.67 KB 2026-04-30 01:42 Project write-up / manuscript artifact in Word format.
.vscode/settings.json 36 B 2025-10-02 15:19 Editor workspace settings for VS Code.

Top-Level Directories

Directory Files Subdirectories Directory README
dataset/ 10 0 dataset/README.md
documentation/ 9 0 documentation/README.md
monthly_reports/ 8 0 monthly_reports/README.md
research_papers/ 8 0 research_papers/README.md
results/ 14 1 results/README.md
src/ 1 6 src/README.md

src/ Notebook Breakdown

Directory Notebook Count Role
src/approaches/ 4 Jupyter notebooks
src/within_current/ 8 Jupyter notebooks
src/within_proposed/ 8 Jupyter notebooks
src/cross_current/ 13 Jupyter notebooks
src/cross_proposed/ 8 Jupyter notebooks
src/testing/ 2 Jupyter notebooks

Detailed Directory READMEs

  • dataset/README.md
  • documentation/README.md
  • monthly_reports/README.md
  • research_papers/README.md
  • results/README.md
  • results/zcross_plots_mean/README.md
  • src/README.md
  • src/approaches/README.md
  • src/cross_current/README.md
  • src/cross_proposed/README.md
  • src/testing/README.md
  • src/within_current/README.md
  • src/within_proposed/README.md

Usage Notes

  • Keep datasets under dataset/.
  • Keep generated numeric outputs and figures under results/.
  • Keep semester and defense material under documentation/ and monthly_reports/.
  • Keep all experiment execution notebooks under src/.

Maintenance Rule

Whenever files are added, renamed, or removed in any documented folder, update that folder's README in the same commit to keep this repository self-describing.

About

TrustX-Defect is an explainable AI pipeline that predicts software defects from tabular datasets and pairs strong model performance with transparent SHAP-based insights. It automates preprocessing, cross-validated training, and reliability analysis so teams can trust and interpret their defect forecasts.

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