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Difference between revisions of "IS480 Team wiki:2018T1 FORD INTERNAL TESTING"

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<li>Instructions can be found [https://docs.google.com/spreadsheets/d/12Pow7ThbIItgcasHOp6Tn7_UL8jzzG0DBsQj_Ethd5c/edit#gid=1888806492 here] <br/></li>
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<li>Test cases & Test results can be found [https://docs.google.com/spreadsheets/d/12Pow7ThbIItgcasHOp6Tn7_UL8jzzG0DBsQj_Ethd5c/edit#gid=1888806492 here] <br/></li>
 
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Revision as of 10:20, 21 August 2018

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Ford home logo.png   HOME

 

Ford about us.png   ABOUT US

 

Ford project overview.png   PROJECT OVERVIEW

 

Ford project management.png   PROJECT MANAGEMENT

 

Ford documentation.png   DOCUMENTATION

 



Internal Testing 1

Testing Plan

  • Date: 6 July 2018
  • Iteration: 3
  • Location: SMU SIS GSR 2.3
  • Testing system: Windows
  • Testing platform: Google Chrome

Objective

  • To test the accuracy rate of the chatbot

Scope

Chatbot
Portnet Related Enquiries

Test cases & Test results

  • Test cases & Test results can be found here

Key Findings

Functionality Application Behaviour Changes proposed
Chatbot Accuracy rate: 85% Develop more testing questions to expand the testing coverage for next round of testing

Overall Result

  • The natural language processing model meets the expectation, and the accuracy rate is satisfactory for our clients.

Internal Testing 2

Testing Plan

  • Date: 26 July 2018
  • Iteration: 4
  • Location: SMU SIS GSR 2.3
  • Testing system: Windows
  • Testing platform: Google Chrome

Objectives

  • To test all the developed functionalities for both chatbot and dashboard
  • To test the accuracy rate of the chatbot
  • To ensure the integration for chatbot and dashboard is successful

Scope

Chatbot Admin Portal
Portnet Related Enquiries Authentication
Dashboard - Hits Analysis
Dashboard - Category Analysis

Test cases & Test results

  • Test cases & Test results can be found here

Key Findings

Functionality Application Behaviour Changes proposed
Chatbot Accuracy rate: 77% The Chatbot needs to be modified to better instruct the user of how to use the chatbot for API call.
Admin Portal Dashboard is behaving as expected except minor error. Slight changes of UI design may be proposed after a demonstration with the client.

Overall Result

  • With more testing question developed, the chatbot accuracy rate dropped.
  • This is expected and the accuracy rate is still within a satisfactory range.


Internal Testing 3

Testing Plan

  • Date: 4 Aug 2018
  • Iteration: 5
  • Location: SMU SIS GSR 2.3
  • Testing system: Windows
  • Testing platform: Google Chrome

Objectives

  • To test whether the deployment is successful
  • To test all the developed functionalities for both chatbot and dashboard
  • To test the accuracy rate of the chatbot

Scope

Chatbot Admin Portal
Portnet Related Enquiries Authentication
Enquiries Dashboard - Hits Analysis
API Module Dashboard - Category Analysis
Account Management - Change Password
Account Management - Add New User
Data Management - Bootstrap

Test cases & Test results

  • Test cases & Test results can be found here

Key Findings

Functionality Application Behaviour Changes proposed
Chatbot Test accuracy rate: 77%

Minor error for API discovered, which is not critical.

Welcome message for the Chatbot need to be modified to better instruct the user of how to use the Chatbot for API call.
Admin Portal Dashboard is behaving as expected.

Account management is behaving as expected except minor error.

Slight changes of UI design may be proposed after a demonstration with the client.

Overall Result

  • With more testing question developed, the chatbot accuracy rate dropped.
  • This is expected and the accuracy rate is still within a satisfactory range.