Research - Peft Truck Factor

[Abutler101]

peft Truck Factor

For part of my PhD in Information Security, focusing on Software Supply Chain Risk, I calculate the Truck Factor of several Open-Source GitHub repositories. This work builds upon prior work by Avelino et al. Truck (or Bus etc.) Factor is a metric used to identify the minimum number of contributors to a project that would need to depart to stall the project.
 
For more details on how our approach differs from existing state-of-the-art estimators, please see the pre-print of our precursor paper: https://pure.royalholloway.ac.uk/en/publications/measuring-software-resilience-using-socially-aware-truck-factor-e
 
For the Full Participant Information Sheet please see the participant information sheet available on the survey's GitHub Repo https://github.com/Abutler101/truckfactor-survey. Direct link to information sheet: https://github.com/Abutler101/truckfactor-survey/blob/main/approved-participant-info-sheet.pdf.

Using our methodology, we estimate peft’s Truck Factor to be: 3.
The contributors identified as part of this Truck Factor value are:

• sourab mangrulkar
• benjamin bossan
• steven liu

To validate our estimate, we would appreciate the input of peft Contributors on the following questions

1. Do you agree with the provided Truck Factor estimate and identified contributors?
2. If you disagree with the Truck Factor estimate, what do you think the Truck Factor is for peft?
3. Do you agree that if the listed contributors left the peft project, it would be in trouble?

By creating a comment addressing 1 or more of the above questions in this GitHub Issue, you are consenting for that comment to be considered as part of the consensus response of this project.

 
Thank you in advance for your engagement,

Alexis Butler 
PhD Student 
Information Security Group, Royal Holloway University of London, UK 
[email protected] 
https://pure.royalholloway.ac.uk/en/persons/alexis-butler
 

Withdrawal Guidance

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