A Natural Language Editor to Support Use Case and Scenario Authoring
No matter how advance the technology is, software development will always start from natural language description of ideas or requirements. Use cases and scenarios have been used to help the user to specify their requirements.
However, writing use cases and scenarios is a skilled job and requires experienced software analysts. This project will develop a NL editor to assist use case and scenario authoring. The editor will not only be able to detect syntactic errors of the use cases or scenarios, but also their semantic errors as well. The editor will also be able to transform the specified use case into an initial analysis model.
Candidates who have been offered a place for PhD study in the School of Computer Science may be considered for funding by the School. Further details on School funding can be found at: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/funding/school-studentships/.
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