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Group Members Sara Muir Eyyup Gur Lan Cui.  Summary of Business Requirements  Context Diagram  Level 0 DFD For Job Search System  Level 1 DFD for.

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Presentation on theme: "Group Members Sara Muir Eyyup Gur Lan Cui.  Summary of Business Requirements  Context Diagram  Level 0 DFD For Job Search System  Level 1 DFD for."— Presentation transcript:

1 Group Members Sara Muir Eyyup Gur Lan Cui

2  Summary of Business Requirements  Context Diagram  Level 0 DFD For Job Search System  Level 1 DFD for Process Resume  Level 1 DFD for Search Resume and Jobs  Level 2 DFD for Parse Resume

3 The system should:  Take input in the form of resumes and job descriptions  Have a web interface accessible via the internet where candidates can create accounts and submit resumes and hiring managers can create accounts and submit job descriptions - Data submitted via this web interface must be captured and saved so that it can be accessed by recruiting firm staff  Match resumes and job descriptions based on keywords relevant to the industry that the recruiting firm deals with (the MIS industry) - The recruiting staff should have the ability to add new keywords and edit existing keyword data  Generate a list of candidates whose skills best match new job descriptions as they are received from the website - A report detailing these matches should be automatically sent to the appropriate recruiting staff member(s)

4  System  Perfect Match System  External Entities 1) Applicant 2) Hiring Manager 3) Staffing Firm Employees

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6  Processes 1) Process Resume 2) Process Job 3) Create User Reports 4) Generate Matches 5) Client Account Authentication 6) Company Account Creation 7) Applicant Account Creation 8) Applicant Account Authentication 9) Search Resumes and Jobs

7  External Entities 1) Applicant 2) Hiring Manager 3) Staffing Firm Employees  Data Stores 1) Job 2) Matches 3) Applicant Resumes 4) Client Accounts 5) Applicant Accounts 6) MIS Keyword Library

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9  Processes 1) Convert file to plain text 2) Validate Resume 3) Parse Resume 4) Separate into Logical Sections 5) Remove obvious non-key words 6) Remove non-key sections  Data Stores 1)Initial Keywords

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11  Processes 1) Find all word matches 2) Keyword Transformations 3) Combine Keywords

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13  Processes 1) Convert between user criteria and query language 2) Identify Query Type

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