基於物件導向與 Clean Code 概念進行 xDiva 重構與優化

NCUIR > College of Electrical Engineering & Computer Science > Software Engineer > Electronic Thesis & Dissertation > Item 987654321/92293

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92293

Title:	基於物件導向與 Clean Code 概念進行 xDiva 重構與優化
Authors:	鄧又晨;Deng, You-Chen
Contributors:	軟體工程研究所
Keywords:	軟體重構;效能優化;xDiva;xDiva;refactor
Date:	2023-08-02
Issue Date:	2023-10-04 15:25:38 (UTC+8)
Publisher:	國立中央大學
Abstract:	xDIVA(extreme Debugging Information Visualization Assistant) 為過去本實驗室持續開發的3D 視覺化程式除錯工具，該工具的主要目的是在除錯階段，根據使用者對資料結構的的理解，以直觀的方式將其進行視覺化，以提供使用者更快速理解現有的資料結構，進而進行後續的除錯或程式碼解釋工作。尤其在EDA（電子設計自動化）產業中，該工具為自動編排電路提供強大的視覺化輔助除錯功能。然而，在EDA產業中，需要同時視覺化數以千計甚至萬計的電路元件，這對先前版本的xDIVA來說是一項巨大挑戰。主要原因是先前版本的xDIVA存在嚴重的效能問題，即使只是視覺化一百個物件，也會出現卡頓等問題，從而無法滿足EDA產業的應用需求。為了解決這個問題，本論文對xDIVA效能的幾個關鍵點進行了分析，並根據軟體工程的原則進行了設計上的調整和重構。這些改進使xDIVA 能夠支援更大量的視覺化需求，同時提高了xDIVA的可讀性、可擴展性和可維護性。 ;xDIVA (extreme Debugging Information Visualization Assistant) is a 3D visualization program developed by our laboratory for debugging purposes. The main objective of this tool is to provide users with an intuitive visualization of data structures during the debugging phase, based on their understanding. This visualization helps users quickly comprehend existing data structures, facilitating subsequent debugging and code interpretation tasks. Particularly in the Electronic Design Automation (EDA) industry, xDIVA offers powerful visual assistance for debugging automated circuit layouts. However, in the EDA industry, visualizing thousands or even tens of thousands of circuit components simultaneously poses a significant challenge for previous versions of xDIVA. The main issue lies in the severe performance problems of previous versions. Even visualizing just a hundred objects would result in lag and other problems, making it inadequate to meet the application requirements of the EDA industry. To address this problem, this paper analyzes several key performance points of xDIVA and applies design adjustments and refactoring based on software engineering principles. These improvements enable xDIVA to support larger-scale visualization demands while enhancing its readability, scalability, and maintainability.
Appears in Collections:	[Software Engineer] Electronic Thesis & Dissertation

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