EVOL Lab logo EVOL Lab

MS Student

Parham Pahlavan

Parham contributes to EVOL Lab infrastructure and replication tooling, with interests in reliable data workflows and systems that make empirical software studies easy to reproduce and extend.

Research Interests

  • Research data pipelines for software engineering studies.
  • Replication package quality and automation.
  • Data integration across repository mining workflows.
  • Tool reliability for empirical software experiments.

Current Research Projects

  • Pipeline hardening for multi-source software evolution datasets.
  • Automation scripts for packaging and validating replication artifacts.
  • Metadata normalization workflows for cross-study comparisons.
  • Lightweight tools for internal dataset QA and documentation generation.