The paper presents a new automated approach for source code summarization named Suncode, which generates concise descriptions for software classes and methods based on their code dependencies. The authors validate Suncode through case studies, showing it provides better contextual information compared to human-written and state-of-the-art summaries. The results highlight that, although manually written summaries are more precise and shorter, Suncode can effectively enhance software documentation by combining its summaries with existing ones.