Abstract
During project planning and operations, a problem, task, or document needs the input of those most familiar with it. Existing ownership-lookup services can declare individuals nominally responsible for the task, but these may not be the true experts on the topic. This disclosure describes a domain-specialist detector, a set of techniques to identify the contextual awareness of a given individual with reference to a particular domain, task, project, or problem. The techniques determine a domain specialist by leveraging forgetting and learning curves to identify the contextual awareness of potential subject-matter experts (SMEs). Contributions to an artifact are given a contextual score, which is decayed in a logarithmic model in accordance with how quickly that type of contribution loses context. Contributions can be found by seeking out related artifacts that reference the artifact under investigation. A contribution is scored by its size and the relative weight for the contribution type, e.g., the relative context. The techniques de-emphasize total contributions relative to the recency and impact of contribution, e.g., cleanup vs. new functionality.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Sokol, Matthew and Troiani, Mary, "Domain Specialist Detector", Technical Disclosure Commons, (January 28, 2025)
https://www.tdcommons.org/dpubs_series/7766