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IS480 Team wiki:2018T1 FORD INTERNAL TESTING

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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.

Internal Testing 4

Testing Plan

  • Date: 5 Sept 2018
  • Iteration: 7
  • 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
Check Container/Vessel Dashboard - Hits Analysis
Check for User Guide Dashboard - Category Analysis
Dashboard - Filter by Time Frame
Account Management - Change Password
Account Management - Add New User
Data Management - File Upload
Data Management - FAQ Management

Test cases & Test results

  • Test cases & Test results can be found here

Key Findings

Functionality Application Behaviour Changes proposed
Chatbot Test accuracy rate: 70%
Admin Portal Some error messages are not precise with bad alignment. Refine all the error messages.

Overall Result

  • All test cases are passed.
  • The introduction of intent matching affects the accuracy of Chatbot.

Internal Testing 5

Testing Plan

  • Date: 1 Oct 2018
  • Iteration: 9
  • 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
Check Container/Vessel Status Dashboard - Hits Analysis
Check for User Guide Dashboard - Category Analysis
Feedback Dashboard - Top Question Analysis
Account Management - Change Password
Account Management - Add New User
Data Management - File Upload
Data Management - FAQ Management
Feedback Management
Announcement Management

Test cases & Test results

  • Test cases & Test results can be found here

Key Findings

Functionality Application Behaviour Changes proposed
Chatbot Test accuracy rate: 80% 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 1. Poor user experience for feedback function is detected. Eg. When a user submits a feedback, no confirmation message is displayed, the feedback window simply closed. Minor bugs for feedback display on the admin side is found.

2. Minor issue for timestamp display

1. Success message should be displayed after the user submits a feedback.

2. Round up timestamp display to full number.

Overall Result

  • Overall good performance with one test case failed.