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Ten simple rules for scientific code review.

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Adopting software engineering practices like code review is crucial for research with large datasets. This guide offers practical rules for effective code review, enhancing research rigor and collaboration.

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Area of Science:

  • Computer Science
  • Research Methodology

Background:

  • Increasingly large and high-dimensional datasets necessitate robust software development in research.
  • Traditional research practices may not adequately address the complexities of modern scientific software.

Purpose of the Study:

  • To provide guidelines for implementing code review in research settings.
  • To motivate the adoption of continuous code review as a standard research practice.
  • To cover both technical and social aspects of effective code review.

Main Methods:

  • The article outlines practical guidelines for conducting code reviews.
  • It details methods for both in-person (e.g., lab meetings) and asynchronous (online tools) reviews.
  • Guidelines address both the technical details and the etiquette of code review.

Main Results:

  • Code review, when performed by knowledgeable peers, improves software quality and research rigor.
  • Structured guidelines facilitate effective, enjoyable, and educational code review processes.
  • The study emphasizes a comprehensive approach integrating technical and social elements.

Conclusions:

  • Code review is an essential software engineering practice for modern research.
  • Implementing code review enhances the reliability and reproducibility of scientific software.
  • This work provides a framework for integrating code review into research programs.