Automated use case diagram generation from textual user requirement documents
| Autor: | Sisay Adugna Chala, Sandeep Vemuri, Madjid Fathi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Information retrieval
Grammar Use Case Diagram business.industry Computer science media_common.quotation_subject Probabilistic logic 020207 software engineering 02 engineering and technology computer.software_genre User requirements document Software Unified Modeling Language 020204 information systems 0202 electrical engineering electronic engineering information engineering Use case Artificial intelligence business computer Requirements analysis Natural language processing Natural language computer.programming_language media_common |
| Zdroj: | CCECE |
| DOI: | 10.1109/ccece.2017.7946792 |
| Popis: | With the current state of the art Natural language processing (NLP) technology, many researchers have proved that automatizing the requirement analysis process is possible which saves significant amount of time spent by the analysts. Numerous semi-automatic tools have been developed which assist the analyst in this process. However, a commonly used technique of using grammar in the elicited text as the basis of identifying useful information, has been facing scalability issues due to the fact that the textual format of requirements consists of unstructured natural language (NL). This paper is an attempt to approach this problem using a probabilistic technique to identify actors and use cases. The promising result demonstrates that, further improvements to this approach can completely automatize the analysis phase. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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