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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/110657


    題名: 結合 AI 與 Venom 技術的 Legacy UI Transformation:一種無需程式開發的介面改造框架;結合 AI 與 Venom 技術的 Legacy UI Transformation:一種無需程式開發的介面改造框架
    作者: 許友齊;QI, XU YOU
    貢獻者: 資訊工程學系軟體工程碩士班
    關鍵詞: Legacy UI Transformation;Venom;AI;非侵入式介面擴充;無需程式開發;介面改造;大型語言模型;Legacy UI Transformation;Venom;AI;Non-Invasive Interface Extension;Programming-Free;Interface Transformation;Large Language Model
    日期: 2026-07-22
    上傳時間: 2026-10-20 16:16:25 (UTC+8)
    出版者: 國立中央大學
    摘要: 現代軟體使用情境快速變動,使用者與組織對介面流程、資訊呈現與操作效率的需求也持續改變。然而,許多既有應用程式因原始碼不可取得、擴充機制不足、重構成本過高或替代方案導入困難,使使用者即使面臨介面不符需求的情況,仍必須繼續使用原系統。傳統透過 API、外掛、重新開發、機器人流程自動化或等待原廠改善的方式,往往受限於技術門檻、組織成本與軟體本身是否支援擴充,難以回應非開發者在日常工作中對介面重排、資訊遮蔽、操作集中與互動簡化的需求。

    本研究關注的核心問題,是使用者在「既有介面不符合需求」與「修改介面成本過高」之間所面臨的兩難。當使用者缺乏原始碼、原廠擴充機制或程式開發能力時,介面調整需求往往難以轉化為可立即使用且可維護的結果。為回應此問題,本研究提出 UI Transformer,作為結合 Venom 技術與大型語言模型輔助的 Legacy UI Transformation 框架,目標是在不修改既有桌面應用程式、不依賴原廠外掛機制,且不要求使用者撰寫程式的前提下,提供一套可操作、可驗證且可保存的介面改造流程。系統利用 Venom 的非侵入式介面擴充能力,在既有應用程式上方建立可操作的新介面層,並將原本偏向開發者撰寫擴充程式的流程,轉化為使用者可透過圖形化操作與自然語言指令完成的介面改造流程。

    本研究的主要貢獻在於:第一,提出一套面向既有桌面應用程式的無需程式開發介面改造流程,降低使用者在無原始碼情境下調整介面的門檻;第二,設計可驗證的中介資料模型,使介面生成、原介面對應、互動同步與持久化能以統一格式管理;第三,整合 GUI 與大型語言模型工具調用,使自然語言操作能在明確邊界內執行,並與手動編輯保持一致;第四,整理並實作非侵入式介面改造框架所需的穩定性機制,使改造結果能被檢查、保存與重新開啟。論文並以互動成本、介面改動成本與組織交付週期作為評估面向,說明 UI Transformer 對既有應用程式介面改善的適用範圍。;Modern software usage scenarios evolve rapidly, and users increasingly need interfaces that better match their workflows, information structures, and operational habits. However, many existing applications remain difficult to modify because their source code is unavailable, extension mechanisms are limited, or redevelopment and migration are too costly. Conventional approaches such as vendor feedback, API-based extension, plug-in development, robotic process automation, or full redevelopment often depend on technical expertise, organizational resources, and explicit support from the original software, making them insufficient for everyday interface refactoring needs of non-developers.

    This thesis addresses the dilemma between interfaces that no longer fit users′ needs and the high cost of modifying existing applications. When users lack source code, vendor-supported extension mechanisms, or programming expertise, interface adjustment needs are difficult to turn into usable and maintainable results. In response, this thesis proposes UI Transformer, a programming-free Legacy UI Transformation framework that combines Venom technology with LLM-based assistance. The framework provides an operable, verifiable, and persistent transformation workflow under three constraints: no modification of the existing desktop application, no reliance on vendor-provided Plug-In mechanisms, and no programming requirement for users. Built on Venom′s Non-Invasive Interface Extension capability, UI Transformer creates an editable interface layer above an existing application and turns a developer-oriented extension process into an End-User workflow that combines graphical editing with natural-language instructions.

    The contributions of this work are fourfold. First, it proposes a programming-free workflow for transforming existing desktop application interfaces under no-source-code constraints. Second, it designs a verifiable intermediate data model that unifies interface generation, mapping to the original application, interaction synchronization, and persistence. Third, it integrates GUI editing with LLM Tool Invocation so that natural-language operations remain bounded and consistent with manual edits. Fourth, it implements stability mechanisms that allow transformation results to be inspected, saved, and reopened. The thesis further uses interaction cost, interface-change cost, and organizational delivery lead time as evaluation dimensions to clarify the applicability of UI Transformer for improving existing application interfaces.
    顯示於類別:[軟體工程研究所 ] 博碩士論文

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