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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Manually extracting tasks from software documentation by conceptualizing tasks as specific programming actions that have been described in the documentation.

The knowledge needed by software developers is captured in many forms of documentation, typically written by different individuals.

PROPOSED CONCEPT:-

We developed a technique for automatically extracting tasks from software documentation by conceptualizing tasks as specific programming actions that have been described in the documentation.

We present Task Navigator, a user interface for search queries that suggests tasks extracted with our technique in an auto-complete list along with concepts, code elements, and section headers.

EXISTING ALGORITHM:-

Task separate algorithm.

PROPOSED ALGORITHM:-

Task extraction algorithm.

ALGORITHM DEFINITION:-

Real-world documentation is messy and full of surprises, and because NLP involves a certain amount of approximation, we conducted a separate evaluation.

ALGORITHM DEFINITION:-

The task extraction algorithm using a benchmark of sentences and their corresponding tasks. In addition, we compared the relevance of the task-based auto-complete suggestions to the relevance of auto complete suggestions derived from an n-gram baseline.

DRAWBACKS:-

Manually extract the documents and techniques.

It is very difficult to find the concept of the documents.

ADVANTAGES:-

Automatically extracting tasks from software documentation by conceptualizing tasks.

User interface for search queries that suggests tasks extracted with our technique in an auto-complete list along with concepts.