Blockchain-Driven Research in Personality-Based Distributed Pair Programming

This study aims to integrate blockchain technology into personality-based pair programming research to enhance its generalizability and adaptability by offering built-in continuous, reproducible, and transparent research. In the developing Role-Optimization Motivation Alignment (ROMA) framework, hum...

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Vydané v:2025 5th Asia Conference on Information Engineering (ACIE) s. 21 - 25
Hlavní autori: Valovy, Marcel, Buchalcevova, Alena
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 10.01.2025
Predmet:
blockchain
Blockchains
Collaboration
intrinsic motivation
Optimization
pair programming
personality traits
Productivity
Programming profession
Psychology
Reproducibility of results
role optimization
Smart contracts
Software engineering
Solana
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Shrnutí:This study aims to integrate blockchain technology into personality-based pair programming research to enhance its generalizability and adaptability by offering built-in continuous, reproducible, and transparent research. In the developing Role-Optimization Motivation Alignment (ROMA) framework, human/AI programming roles align with individual Big Five personality traits, optimizing individual motivation and team productivity in Very Small Entities and undergraduate courses. Twelve quasi-experimental sessions were conducted to verify the personality-based pair programming in distributed settings. A mixed-methods approach was employed, combining intrinsic motivation inventories and qualitative insights. Data were stored transparently on the Solana blockchain, and a web-based application was developed in Rust and TypeScript languages to facilitate partner matching based on ROMA suggestions, expertise, and availability. The results suggest that blockchain can enhance research generalizability, reproducibility, and transparency, while ROMA can increase individual motivation and team performance. Future work can focus on integrating smart contracts for transparent and versioned data analysis.
DOI:10.1109/ACIE64499.2025.00010