Exploratory case study evaluates GPT-3.5's ability to support understanding architectural knowledge, suggesting new insights for software engineers.
Our paper [SK25], published at the 22nd IEEE International Conference on Software Architecture (ICSA), investigates how large language models, specifically GPT-3.5, can support software engineers in discovering and reasoning about Architectural Knowledge (AK) in real-world systems such as HDFS, by assessing the accuracy, quality, and trustworthiness of GPT’s responses to architecture-related questions.
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Soliman et al. (2026) studied this question.
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