Test_plan (1)

Test_plan (1) - UniversityofNorthTexas CollegeofEngineering

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
University of North Texas College of Engineering Department of Computer Engineering CSCE 4915 spring 2012      Test Plan Prepared by Van Buren Guys TABLE OF CONTENTS 1. INTRODUCTION Objectives Testing Strategy Scope 2. TEST ITEMS
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Program Modules Job Control Procedures User Procedures 3. FEATURES TO BE TESTED 4. FEATURES NOT TO BE TESTED 5. APPROACH FOLLOWED BY PASS / FAIL CRITERIA 6. TESTING PROCESS Test Deliverables Testing Tasks Responsibilities Resources Schedule 7. ENVIRONMENTAL REQUIREMENTS Hardware Software Security Tools Risks and Assumptions 1. INTRODUCTION The Parking Finder project focuses on designing a system that will help locate parking spaces in a parking lot. Our goal is to create an effective parking management system by aiding commuters with convenient parking, thereby reducing time consumption. Objectives Our test plan is divided into three components: a camera system, an image processor, and an android application. The primary components of the test are the analysis of the server and the image processing system. Basically, their objective is to evaluate technologies capable of collecting data to determine whether a parking facility is full, and if not, to indicate the number of parking spaces available. The two secondary components (camera system and the application) of the usage test focuses on collecting and receiving data. The camera system transfers images of vehicles periodically, and on the other hand, the application receives the processed data from the server. Testing Strategy
Background image of page 2
Our proposed system involves the following steps: Image capture Vehicle detection and classification Event recording Parking status. Image Capture The Go-Pro camera system will take images of the lot at appropriate zoom level for sufficient image resolution. To make the experiment easier, we will simulate parking lot situation using toys cars. Vehicle detection and classification The next step in our approach is to detect the received images of the parking spaces and use them as input in the image processing system. In the end, the processor will produce a set of parameters of the images as the output. Event recording A server comes into play to retrieve, store and send data, which has been accumulated from the image processor. Parking status The last step in our approach is developing an android application that shows vacancy status of the parking lot. Scope The Parking Finder system involves the following: Application Provides the user with parking lot pictorial, menus, and notifications to direct him/her on the various options. Handle the updates of parking images. Receive the data from the server and update the file periodically to the mainframe. Camera system
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 4
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 02/28/2012 for the course CSCE 3510 taught by Professor Unt during the Spring '12 term at North Texas.

Page1 / 11

Test_plan (1) - UniversityofNorthTexas CollegeofEngineering

This preview shows document pages 1 - 4. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online