Martinez-Gil, Jorge Analyzing Programmer Psychological Traits Using Code and Sentiment Analysis., 2024 [Preprint]
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English abstract
Our research introduces a novel framework for analyzing programmer psychological traits by combining automated code analysis and sentiment assessment. Our contribution is in the form of a framework that can identify key behavioral traits such as attention to detail, collaboration orientation, and problem-solving tendencies. Unlike traditional survey-based methods, this approach offers objectivity and applicability across diverse programming contexts. Experimental results demonstrate its potential to contribute to software engineering, developer productivity research, and cognitive profiling of programmers.
Item type: | Preprint |
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Keywords: | Software Engineering, Code Analysis, Sentiment Analysis, Developer Traits, Natural Language Processing |
Subjects: | G. Industry, profession and education. > GB. Software industry. L. Information technology and library technology > LK. Software methodologies and engineering. |
Depositing user: | Dr Jorge Martinez-Gil |
Date deposited: | 21 Jan 2025 07:50 |
Last modified: | 21 Jan 2025 07:50 |
URI: | http://hdl.handle.net/10760/46253 |
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