ayberktecimer / rstrace-replication

Replication package for RSTrace+ and other CRR algorithms

Welcome to RSTrace+ Replication Package 👋

Run RSTrace+ with different configurations and datasets

Prerequisities

• Python 3.8 and pip
• (Recommended) Virtual environment
• Neo4j 3.5.12

Install dependencies

• pip install -r requirements.txt

Configure

You can configure an experiment by modifying config.yaml file. Configuration fields:

• squareSum (boolean)
• recency (boolean)
• pathLenghtLimit (integer)
• dataset
  • type (string: "perceval" or "seoss" or "revrec")
  • commitsFilePath (string)
• method (string: "rstrace+" or "profile-based" or "revfinder")
• neo4j (object): Database configuration information
  • uri (string)
  • user (string)
  • password (string)

Run

After configuration, run the experiment by:

python src/ExperimentRunner.py

When execution completed, results will be available under results directory and experiment logs will be under logs directory.

Datasets from Perceval

• Qt 3D Studio
• Qt Creator

In config.yaml file, dataset type should be perceval.

Datasets from SEOSS

• Apache Hive
• Apache Zookeeper

In config.yaml file, dataset type should be seoss.

Datasets from RevRec

Datasets coming from https://github.com/XLipcak/rev-rec

In config.yaml file, dataset type should be revrec.

Author

👤 Emre Sülün

• Website: esulun.com
• Github: @sulunemre

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