abandonmentresearchsurvival-analysisbus-factortruck-factor

Avelino et al. — Abandonment of Popular Projects, ESEM

Quantifies the 16% abandonment rate for popular projects and identifies 'personal usage' and 'maintainer friendliness' as the primary drivers of project survival.

Summary

An empirical study of 1,932 popular GitHub projects reveals that 16% (315 projects) were abandoned by their core maintainers, a phenomenon termed Truck Factor Developer Detachment (TFDD). While 41% of these projects eventually survived by attracting new core developers, the recovery process is fragile: 86% of survivals depended on just a single new maintainer stepping in. 64% of survivals occurred within the first year after abandonment, with the probability of recovery dropping significantly thereafter. The research identifies a median 'knowledge halving-time' of just 4 months, making rapid maintainer transition critical. Surveyed maintainers identified 'personal usage of the project' (53%) as the primary motivator for assuming maintenance, while 41% cited the presence of 'friendly and active project members' as the key facilitator for their recruitment.

Related Checks

SOURCE_SINGLE_CONTRIBUTOR

The study finds that 16% of popular open-source projects fail due to the departure of all key knowledge owners, with only 41% surviving the transition.

Adverse Outcome

sudden project stalling or death due to the loss of a single point of human failure

Because

maintainer concentration is the definitive predictor of project existential risk, far more than simple code activity metrics.

Gaps Analysis

Evidence

Projects developed by organizations seem to have a higher survival rate... probability of surviving longer than five years is less than 50%.

Blind Spot

Risk Guard evaluates technical signals but doesn't explicitly distinguish between 'Individual' and 'Organization' ownership in its survival probability scores.

Actionable Capability

Risk Guard would be better if it applied a 'Governance Bonus' to projects owned by verified organizations or foundations, reflecting their statistically proven higher survival rate.

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