博碩士論文 975202016 詳細資訊




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姓名 黃聖文(Sheng-Wen Huang)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 基於設計矩陣之需求追溯關係建立方法
(Requirements Traceability Relations Generation based on Design Structure Matrix)
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摘要(中) 需求追蹤關係與變更影響分析在軟體開發上越來越受到重視,然而架構龐大的系統有著大量且關係複雜的文件,以人工手動的方式來建立或是維護追蹤關係是一件複雜且不容易的事,因此如何使用一個系統化的、有步驟的方式來管理與建立追蹤關係變成是軟體開發的一個重要議題。
  本篇論文使用設計結構矩陣來自動化的建立系統文件與程式碼之間的追蹤關係。利用設計結構矩陣的叢集演算法的結果,分析計算兩者之間的關聯程度,並根據定義的門檻(Threshold)確認是否存在追蹤關係。我們並將此方法設計與實作需求分析服務,有步驟地自動化建立需求追蹤關係。
摘要(英) In the development lifecycle of software systems, it has become more and more important to establish and manage requirements traceability between documents and codes. However, it is hard to manage a large number of traceability relations manually in a large software system.
 In this paper, we use design structure matrix (DSM) to support the automatic generation of traceability relations between documents and codes by performing clustering algorithm. The clustering results are then used to calculate the relation degree of the traceability relations. A traceability analysis service is also implemented to demonstrate our approach.
關鍵字(中) ★ 設計結構矩陣
★ 需求
★ 追溯關係
關鍵字(英) ★ traceability relation
★ requirement
★ design structure matrix
論文目次 摘要 III
ABSTRACT IV
致謝 V
第一章、緒論 1
1.1  背景 1
1.2  動機 1
1.3  論文架構 2
第二章、背景知識介紹 3
2.1  設計結構矩陣(DESIGN STRUCTURE MATRIX) 3
2.1.1 叢集(Clustering) 5
2.2  WORDNET 6
2.3  字詞相似度 (WORD SIMILARITY) 6
2.4  字詞原型化 (WORD STEMMING) 9
2.5  以目標趨動之需求追溯方法(A GOAL-DRIVEN APPROACH TO RELATIONS TRACEABILITY) 10
第三章、基於設計矩陣之需求追蹤關係建立方法 14
3.1  過濾與原型化字詞(FILTER AND STEM WORD) 14
3.2  計算字詞之間的相似度(CALCULATE WORD SIMILARITY) 16
3.3  執行設計矩陣的叢集演算法(PERFORM DSM CLUSTERING) 19
3.4  以正規式比對規則(MATCH RULES WITH REGULAR EXPRESSION) 20
3.5  計算程式碼與系統文件間關聯程度(CALCULATE RELATION DEGREE) 22
3.6  建立追蹤關係(IDENTIFY TRACEABILITY RELATIONS) 24
第四章、系統設計與實作 25
4.1  系統架構 25
4.1.1  系統文件與程式碼追蹤關係分析服務系統(Documentation and Code Traceability Analyzing Service) 26
第五章、案例分析 29
5.1  過濾與原型化字詞(FILTER AND STEM WORD) 30
5.2  計算字詞之間的相似度(CALCULATE WORD SIMILARITY) 31
5.3  執行設計矩陣的叢集演算法(PERFORM DSM CLUSTERING) 32
5.4  以正規式比對規則(MATCH RULES WITH REGULAR EXPRESSION) 34
5.5  計算程式碼與系統文件間關聯程度(CALCULATE RELATION DEGREE) 35
5.6  建立追蹤關係(IDENTIFY TRACEABILITY RELATIONS) 36
5.7  結果分析與比較(RESULT ANALYSIS AND COMPARISON) 36
5.7.1  查全率與查準率(Recall and Precision) 36
5.7.2  與潛在語意索引方法之比較(A Comparison with LSI) 37
第六章、相關知識介紹 39
第七章、結論 41
7.1  貢獻 41
7.2  未來研究 41
參考文獻 43
參考文獻 [1] Andrian Marcus, Jonathan I. Maletic. “Recovering Documentation-to-Source-Code Traceability Links using Latent Semantic Indexing“. IEEE In Proceedings of the 25th International Conference on Software Engineering, p125 - p135, 2003.
[2] Christos Faloutsos, Douglas Oard. “A Survey of Information Retrieval and Filtering Methods”, Computer Science Technical Report Series, Vol. CS-TR-3514 , 1995.
[3] Giuliano Antoniol, Gerardo Canfora, Gerardo Casazza, Andrea De Lucia, Ettore Merlo. “Recovering Traceability Links between Code and Documentation”. IEEE Transactions on Software Engineering, Vol.28, No.10, p 970 - p983, 2002.
[4] Rocco Oliveto. “Traceability Management meets Information Retrieval Methods :Strengths and Limitations”. In Proceedings of the 2008 12th European Conference on Software Maintenance and Reengineering, p 302 - p305, 2008.
[5] DSMweb.org. http://www.dsmweb.org/.
[6] Ronnie E. Thebeau. “Knowledge Management of System Interfaces and Interactions for Product Development Process”. SM Thesis. Massachusetts Institute of Technology, System Design & Management Program, 2001.
[7] Jane Cleland-Huang, Raffaella Settimi, Eli Romanova, et al. “Best Practices for Automated Traceability”. IEEE Computer, Vol.40, p27 - p35, 2007.
[8] Andrea De Lucia, Rocco Oliveto, and Paola Sgueglia. “Incremental Approach and User Feedbacks: a Silver Bullet for Traceability Recovery?”., In Proceedings of 22nd IEEE International Conference on Software Maintenance, p299 - p309, 2006.
[9] G. Antoniol, G. Canfora, A. De Lucia. “Recovering Code to Documentation Links in OO Systems”. 6th Working Conference on Reverse Engineering, p 136 - p144,1999.
[10] Andrea De Lucia, Fausto Fasano, Rocco Oliveto, and Genoveffa Tortora. “Recovering Traceability Links in Software Artifact Management Systems using Information Retrieval Methods”. ACM Transactions on Software Engineering and Methodology, Vol.16, No.13, 2007.
[11] Takashi Yoshikawa, Shinpei Hayashi, Motoshi Saeki. “Recovering Traceability Links between a Simple Natural Language Sentence and Source Code Using Domain Ontologies”. International Conference on Software Maintenance, p 551 - p554, 2009.
[12] George A. Miller. “WordNet: A Lexical Database for English”. Communications of the ACM Vol. 38, No. 11: 39-41, 1995.
[13] Christiane Fellbaum. “WordNet: An Electronic Lexical Database”. Cambridge, MA: MIT Press, 1998.
[14] G. Sridhara, Emily Hill, Lori Pollock, K. Vijay-Shanker. “Identifying Word Relations in Software: A Comparative Study of Semantic Similarity Tools”. In Proceedings of 16th IEEE International Conference on Program Comprehension, p 123 - p132, 2008.
[15] Zhibiao Wu, Martha Palmer, “Verb Semantics and Lexical Selection”. 32nd Annual Meeting of the Association for Computational Linguistics, 1994.
[16] Satanjeev Banerjee, Ted Pedersen, ”Extended Gloss Overlaps as a Measure of Semantic Relatedness”. International Joint Conference on Artificial Intelligence, 2003.
[17] J. J. Jiang and D. W. Conrath. “Semantic similarity based on corpus statistics and lexical taxonomy“. In. Proceedings of International Conference on Research in Computational Linguistics (ROCLING X), 1997.
[18] M. F. Porter. “An algorithm for suffix stripping“. Readings in information retrieval, Morgan Kaufmann Publishers Inc., San Francisco, CA,1997.
[19] J. Lee and Y. Y. Fanjiang, “Modeling Imprecise Requirements with XML,”. Information and Software Technology, Vol.45, No.7, pp. 445-460, 2003.
[20] J. Lee and K. H. Hsu, “Modeling Software Architectures with Goals in Virtual University Environment”. Information and Software Technology, Vol.44, No.6, pp. 361-380, 2002.
[21] J. Lee, C. L. Wu, W. T. Lee, and K.-H. Hsu, “Aspect-Enhanced Goal-Driven Sequence Diagram”. Int. J. of Intelligent Systems, Vol.25, pp. 712-732, 2010.
[22] J. Lee and N. L. Xue, “Analyzing User Requirements by Use Cases, A Goal-Driven Approach”. IEEE Software, Vol.16, No.4, pp. 92-101, 1999.
[23] J. Lee, N. L. Xue and J. Y. Kuo, “Structuring Requirements Specifications with Goals”. Information and Software Technology, Vol.43, No.2, pp. 121-135, 2001.
[24] W. T. Lee,W. Y. Deng, J. Lee, and S. J. Lee, “Change Impact Analysis with a Goal-Driven Traceability-Based Approach”. Int. J. of Intelligent Systems, Vol.25, pp. 878-908, 2010.
[25] Wen-Tin Lee. “A Goal-driven Approach to Relations Traceability”, Ph.D. dissertation of National Central University, Taiwan, 2008.
指導教授 李允中(Jonathan Lee) 審核日期 2010-7-26
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