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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.3
- 수록면
- 386 - 394 (9page)
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초록· 키워드
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This research will describe algorithm for class diagram extraction from problem statements. Class diagram notation consist of class name, attributes, and operations. Class diagram can be extracted from the problem statement automatically by using Natural Language Processing (NLP). The extraction results heavily depends on the algorithm and preprocessing stage. The algorithm obtained from various sources with additional rules that are obtained in the implementation phase. The evaluation features using five problem statement with different domains. The application will capture the problem statement and draw the class diagram automatically by using Windows Presentation Foundation(WPF). The classification accuracy of 100% was achieved. The final algorithm achieved 92 % of average precision score.
목차
ABSTRACT
1. INTRODUCTION
2. RELATED WORKS
3. SUGGESTED EXTRACTING ALGORITHM
4. IMPLEMENTATION
5. RESULTS AND EVALUATION
6. CONCLUSION
REFERENCE
참고문헌 (17)
참고문헌 신청
D. Berardi / 2015 / Reasoning on UML Class Diagrams / Artificial Intelligence 168(1-2):70~118
A. Purwarianti / 2016 / InaNLP: Indonesia Natural Language Processing Toolkit, Case Study: Complaint Tweet Classification / Proceeding of International Conference on Advanced Informatics Concepts, Theory, and Application :1~5
R. Jiang / 2016 / Evaluating and Combining Name Entity Recognition Systems / Proceeding of the Sixth Named Entity Workshop :21~27
Explosion AI Team / Fact and Figures
M. Elbendak / 2011 / Parsed Use Case Descriptions as a Basis for Object-oriented Class Model Generation / Journal of Systems and Software 84(7):1209~1223
A. Purwarianti / 2016 / InaNLP: Indonesia Natural Language Processing Toolkit, Case Study: Complaint Tweet Classification / Proceeding of International Conference on Advanced Informatics Concepts, Theory, and Application :1~5
R. Jiang / 2016 / Evaluating and Combining Name Entity Recognition Systems / Proceeding of the Sixth Named Entity Workshop :21~27
Explosion AI Team / Fact and Figures
M. Elbendak / 2011 / Parsed Use Case Descriptions as a Basis for Object-oriented Class Model Generation / Journal of Systems and Software 84(7):1209~1223
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