Abstract
The present disclosure relates to a method and a system for Analytic Hierarchy Process (AHP) based interpretable decision-making structure of Generative Pre-trained Transformer (GPT) in unified developer efficiency modeling. The method includes receiving and preprocessing a plurality of metrics from one or more data sources. The method further generates pairwise comparison scores for each metric of the plurality of metrics. Additionally, an AHP comparison matrix is constructed based on the generated comparison scores. The method further includes performing a consistency check on the comparison matrix to confirm the reliability of the pairwise comparisons. When inconsistencies are identified, the method includes performing adjustments on the comparison matrix. Alternatively, when the matrix is identified as consistent, determining a metric weight of each matrix. Subsequently, the method includes determining a unified developer efficiency score based on validated/determined metric weights and generating a report based on the determined developer efficiency score. The present disclosure helps in understanding and optimizing the impact of generative Al coding tools on software development.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
GUO, FUMING and ABRAHAM, BIJU, "ANALYTIC HIERARCHY PROCESS BASED INTERPRETABLE DECISION-MAKING STRUCTURE OF GPT IN UNIFIED DEVELOPER EFFICIENCY MODELING", Technical Disclosure Commons, (April 30, 2025)
https://www.tdcommons.org/dpubs_series/8052