Dialogue Management for On-Demand API Documentation
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| Udgivet i: | ProQuest Dissertations and Theses (2025) |
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ProQuest Dissertations & Theses
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| Online adgang: | Citation/Abstract Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Eberhart, Zachary | |
| 245 | 1 | |a Dialogue Management for On-Demand API Documentation | |
| 260 | |b ProQuest Dissertations & Theses |c 2025 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a Software development depends on Application Programming Interfaces (APIs), yet developers still struggle with incomplete, fragmented, or hard-to-navigate API documentation. Modern dialogue systems can provide conversational access to API knowledge in the form of chatbots and AI assistants, but building useful task-oriented assistants still demands clarity about how conversations should unfold, what capabilities a system should expose, and which data and tools can help enable them. This dissertation provides the foundation for dialogue management in on-demand API documentation. First, it describes a "Wizard of Oz" study that yields a corpus of programmer-assistant interactions, as well as a multi-dimensional analysis that characterizes goals, dialogue acts, and grounding behaviors. Next, it develops a conversational dialogue manager optimized for efficient API search, and a clarification module that generates targeted questions to reduce ambiguity and steer retrieval. Finally, it demonstrates data-efficient integration with LLMs by using the dialogue manager to synthesize API search conversations, then fine-tuning a smaller model to exhibit desired behaviors (e.g., when to recommend a function versus ask for additional detail). Together, these contributions form a framework to engineer developer assistants whose behavior is grounded in empirical data. | |
| 653 | |a Computer science | ||
| 653 | |a Computer engineering | ||
| 653 | |a Artificial intelligence | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2025) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3285415268/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3285415268/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch |