ChatGPT significantly enhances software estimation accuracy by leveraging its ability to process and analyze vast amounts of project data, identifying complex patterns and correlations that might otherwise be overlooked. It can parse project specifications, user stories, and historical performance metrics to pinpoint potential hidden complexities, dependencies, or forgotten requirements that impact effort. By generating multiple alternative estimation scenarios and their corresponding effort breakdowns, it provides a broader perspective, aiding human estimators in making more informed decisions. Furthermore, the AI assists in structuring estimation questions and prompts, leading to more comprehensive data collection and a clearer, more consistent understanding of project scope and requirements. This leads to more realistic timelines and budgets, while also facilitating proactive risk identification, thereby significantly reducing estimation error margins and improving overall project predictability. More details: https://www.achcp.org.tw/admin/Portal/LinkClick.aspx?tabid=152&table=Links&field=ItemID&id=510&link=https://infoguide.com.ua