| dc.contributor.author | 03-134171-006, ARSLAN HAIDER | |
| dc.date.accessioned | 2024-10-28T07:05:47Z | |
| dc.date.available | 2024-10-28T07:05:47Z | |
| dc.date.issued | 2021-01-18 | |
| dc.identifier.other | BULC693 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/18272 | |
| dc.description.abstract | Software modeling is a very important task and generic activity of the software development process. Unified modeling language (UML) is the best way to design the conceptual architecture of any software. The class diagram is a type of UML which is used for representing main classes with attributes, functions, and their relationship. In the software industry, many software modeling engineers face issues regarding manual identification and designing of class diagrams from the textual paragraph because it is a highly difficult task due to skills and time constraints. The proposed system is an automated, efficient and accurate way to obtain elements of the class diagrams from the natural language specifications with their relationships. Text pre-processing, part of speech (POs), tagging, parsing, phrase identification and class diagrams rules with other Natural language processing techniques will apply to those software requirements for the construction and visualization of class diagram graphically | en_US |
| dc.description.sponsorship | Supervisor: Nadeem Sarwar | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;BULC693 | |
| dc.title | Class Diagram Generation Using Natural Language Specification | en_US |
| dc.type | Project Reports | en_US |