| DC 欄位 |
值 |
語言 |
| DC.contributor | 資訊工程學系 | zh_TW |
| DC.creator | 陳致豪 | zh_TW |
| DC.creator | Jhih-hao Chen | en_US |
| dc.date.accessioned | 2012-7-12T07:39:07Z | |
| dc.date.available | 2012-7-12T07:39:07Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=995202012 | |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 軟體系統隨著時間不斷演進的過程中，程式開發人員的來去不可避免。要讓不同階段的開發人員都明瞭軟體系統的架構與系統設計者最原始的的設計理念，是一個困難且具挑戰性的軟體工程問題。通常具備一定規模的軟體開發專案，都會以文件作為開發團隊成員間溝通的媒介。針對程式碼的說明文件，我們於先前提出了PolyTraceAid這套以Tracecase為文件基礎的工具幫助開發人員快速理解程式以及減輕文件撰寫的負擔。使用者能以PolyTraceAid製作Tracecase與閱讀Tracecase，當使用PolyTraceAid來閱讀Tracecase時，能夠以使用者追蹤程式認知模型(program model)的方式來進行。
本論文分別針對製作與閱讀這兩個使用面向，各提出一套方式來強化PolyTraceAid。第一套方式將軟體測試中Test Coverage的概念引進至PolyTraceAid的Tracecase文件。覆蓋率提供我們一個全新的文件品質自動化度量方法。第二套方式利用Needleman-Wunsch Algorithm (NWA) 與 Hierarchical Agglomerative Clustering (HAC) 演算法針對PolyTraceAid的Tracecase做分群( Clustering )。讓Tracecase能夠依其所說明的功能進行分群，提供文件彼此的關聯性，幫助程式設計師探索系統。最後實際將PolyTraceAid應用於xDIVA[5]系統。
| zh_TW |
| dc.description.abstract | In a software life cycle, maintenance is a big challenge due to the turnover of programmers. Making developers who join a project at different time understand the original design concept is always a challenging problem. In a big software project, developers often communicate with each other by documentations. For internal program documentation, we have proposed a Tracecase based tool called PolyTraceAid. We can use PolyTraceAid to create and read Tracecase document. Tracecase can help us understand program model[1] of a program. It is not only a new but also an useful way for programmer to understand a program.
This paper proposes two ways respectively to enhance PolyTraceAid on creating Tracecase and reading Tracecase. First, we apply the concept of code coverage from software testing. So Tracecase document can also be with code coverage. The coverage provides us a new way to automatically measure the quality of program document. Second, we adopt Needleman-Wunsch Algorithm(NWA) and Hierarchical Agglomerative Clustering(HAC) to cluster Tracecases in PolyTraceAid. Then we are able to cluster Tracecases through the function they describe. It will provide us the relationship between Tracecase documents and help programmer to explorer the system.
| en_US |
| DC.subject | 文件覆蓋率 | zh_TW |
| DC.subject | 覆蓋率 | zh_TW |
| DC.subject | 分群 | zh_TW |
| DC.subject | 程式碼理解 | zh_TW |
| DC.subject | 程式碼文件 | zh_TW |
| DC.subject | Documentation Coverage | en_US |
| DC.subject | Coverage | en_US |
| DC.subject | Clustering | en_US |
| DC.subject | Program Documentation | en_US |
| DC.subject | Program comprehension | en_US |
| DC.title | 使用PolyTraceAid進行程式文件覆蓋率計算與分群 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Program Documentation Coverage and Clusteringby PolyTraceAid | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |