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Top 10 metrics for life science software good practices.

Haydee Artaza¹, Neil Chue Hong², Manuel Corpas¹

¹The Earlham Institute & ELIXIR-UK, Norwich Research Park, Norwich, NR4 7UH, UK.

|September 17, 2016

Summary

This study introduces community-driven metrics to assess software development practices, ensuring future sustainability and functionality. These metrics prioritize and evaluate the feasibility of adopting good software engineering principles.

Keywords:

ELIXIR Evaluation Impact Metrics Software, Best Practices Sustainability

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Area of Science:

Computer Science
Software Engineering
Information Science

Background:

Assessing software development practices is crucial for ensuring long-term sustainability, reusability, and functionality.
Existing efforts often lack a community-driven approach, limiting widespread adoption.
Sustainability in software implies continued availability, improvement, and support over time.

Purpose of the Study:

To propose an initial set of metrics for evaluating good software development practices.
To establish a community-driven, grassroots approach for identifying and prioritizing these practices.
To assess the feasibility of implementing proposed software development best practices.

Main Methods:

Community-driven proposal of good software practices by experts from various organizations.
Prioritization of identified good software practices.
Feasibility assessment for the implementation of these practices.

Main Results:

An initial set of metrics for assessing good software development practices has been identified.
The metrics focus on practices with potential for community adoption.
Feasibility of implementation for these practices has been evaluated.

Conclusions:

Community-driven metrics offer a viable approach to enhance software sustainability and functionality.
Prioritizing and assessing the feasibility of good practices are key to successful adoption.
This work provides a foundation for ongoing community efforts in software development best practices.