FDG: A Precise Measurement of Fault Diagnosability Gain of Test Cases

This is an artifact accompanying the paper FDG: A Precise Measurement of Fault Diagnosability Gain of Test Cases (ISSTA 2022).

Requirements

• H/W
  • A processor with the linux/amd64 architecture (only for RQ2-4)
• S/W
  • 🐍 Python 3.9.1
    • Installing dependencies

      pip install -r requirements.txt

      • (In OS X) If libshm.dylib is not loaded, please install libomp.

        brew install libomp

  • 🐳 docker (only for RQ2-4)

Package structure

├── Defects4J-human-written-tests/ # RQ1
│   ├── utils/
│   │   ├── d4j.py
│   │   ├── metrics.py
│   │   └── FL.py
│   ├── output/
│   ├── data/
│   ├── simulate.py
│   └── README.md
├── Defects4J-generated-tests/     # RQ2-RQ4
│   ├── docker/
│   │  ├── resources/
│   │  └── Dockerfile
│   └── README.md
└── README.md

Following files contain more details.

• For RQ1: Defects4J-human-written-tests/README.md
• For RQ2-4: Defects4J-generated-tests/README.md