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A network-centric approach for estimating trust between open source software developers
Hitesh Sapkota1, Pradeep K Murukannaiah2, Yi Wang1
1Software Engineering, Rochester Institute of Technology, Rochester, NY, United States of America.
Plos One
|December 31, 2019
Summary
Measuring developer trust in open source software (OSS) projects can now be automated. This computational approach predicts which contributions are more likely to be accepted, enhancing project success.
Area of Science:
- Software Engineering
- Computer Science
- Social Computing
Background:
- Developer trust is crucial for open source software (OSS) project success.
- Current methods for assessing trust in OSS communities are subjective and lack scalability.
- This deficiency hinders effective trust-based decision-making among project members.
Purpose of the Study:
- To propose an automated, scalable computational method for measuring developer trust in OSS.
- To assist developers in identifying the trustworthiness of their peers within a community.
- To enhance the reliability and efficiency of trust assessment in collaborative software development.
Main Methods:
- A two-fold approach combining direct and indirect trust computation.
- Direct trust is calculated by analyzing developer interactions using natural language processing.
- Indirect trust is inferred through a community-wide developer network and trust propagation.
Main Results:
- A large-scale evaluation on GitHub (24,315 developers) demonstrated that trusted developers' contributions are more likely to be accepted.
- Contributions from distrusted or untrusted developers had a lower acceptance rate.
- A pull request classifier utilizing trust metrics effectively predicted acceptance likelihood.
Conclusions:
- The proposed automated approach provides an effective and scalable method for measuring developer trust in OSS.
- This computational trust metric has practical utility, as shown by the improved pull request classification.
- Automated trust measurement can significantly aid decision-making and improve OSS project outcomes.
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