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Exploratory Study on Multi-User Program Synthesis: A Multi-Wizard Approach

Talkat HATRA 2023 · on Sunday, 2023-10-22· [ai-assisted-development]
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Proposes two study designs: a between-subjects lab with 24 participants (pairs vs individuals, each doing one task with and one without a synthesizer) and a field study observing 4–5 teams (20–25 participants) for one week on ongoing projects. Claims group-created specifications encode more edge cases; pilot regex tasks show classical synthesizers return lower-quality, slower candidate programs. Plans to compare LLM-based synthesizers for prompt flexibility versus traditional synthesis and to analyze incidents that lead to success or failure.

AI-written summary · about

  1. 0:00Multi-user program synthesis intro
  2. 2:01Limitations of single-user tools
  3. 3:08Research goals and design
  4. 5:13Student study between-subjects
  5. 7:05Generalizing to professional teams
  6. 8:28Key questions and future work
  7. 10:18Hackathon tasks and conditions
  8. 11:22Data collection and analysis
  9. 13:08Expected collaborative phenomena
  10. 14:55LLMs and code review
  11. 16:50Teamwork configurations
  12. 19:26Community input on tools
  13. 20:35LLMs vs classical synthesizers
  14. 22:17Handling team disagreements
  15. 23:45Synthesis with vs without teams
  16. 24:28Closing remarks and Q&A
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