Demo page details
Page source code: swe_6_sw_quali_tests.rst
1{% set page="swe_6_sw_quali_tests.rst" %}
2{% include "demo_page_header.rst" with context %}
3
4.. _SWE6_Qualification_Tests:
5
6SWE.6 Qualification Test Cases
7==============================
8
9This document provides qualification test cases to validate the fulfillment of software requirements from SWE.1.
10
11.. test:: Lane Detection Qualification
12 :id: TEST_QUAL_001
13 :links: SWREQ_001, SWREQ_002, SWREQ_003
14
15 Qualify the lane detection functionality by verifying its accuracy in identifying lane markings and providing corrective steering under specified conditions.
16
17.. test:: Adaptive Cruise Control Qualification
18 :id: TEST_QUAL_002
19 :links: SWREQ_004, SWREQ_005, SWREQ_013
20
21 Qualify the adaptive cruise control by testing its ability to measure distances and adjust speed dynamically in accordance with defined safety parameters.
22
23.. test:: Collision Avoidance Qualification
24 :id: TEST_QUAL_003
25 :links: SWREQ_006, SWREQ_007, SWREQ_015
26
27 Qualify the collision avoidance system by ensuring it can detect potential collisions and execute emergency braking effectively.
28
29.. test:: Pedestrian Safety Qualification
30 :id: TEST_QUAL_004
31 :links: SWREQ_008, SWREQ_009, SWREQ_010
32
33 Qualify the pedestrian safety system by testing its detection, alerting, and emergency braking functionalities in predefined scenarios.
34
35.. test:: Integrated Qualification Test
36 :id: TEST_QUAL_005
37 :links: SWREQ_001, SWREQ_004, SWREQ_006, SWREQ_008
38
39 Qualify the integration of lane detection, adaptive cruise control, collision avoidance, and pedestrian detection for seamless functionality and safety compliance.
40
41.. test:: Traffic Sign Recognition Qualification
42 :id: TEST_QUAL_006
43 :status: passed
44 :links: SWREQ_021
45
46 Qualify the speed limit sign detection software by verifying correct recognition of posted limits in representative traffic scenes.
47
48.. test:: Blind Spot Monitoring Qualification
49 :id: TEST_QUAL_007
50 :status: open
51 :links: SWREQ_022, SWREQ_023
52
53 Qualify the blind spot monitoring software by verifying zone occupancy detection and
54 lane change warning behavior across mixed traffic, weather, and lighting scenarios.
55
56.. test:: Driver Drowsiness Qualification
57 :id: TEST_QUAL_008
58 :status: open
59 :links: SWREQ_024, SWREQ_025
60
61 Qualify the drowsiness detection software by verifying eye-state estimation and
62 alert behavior across daytime, low-light, and partially-occluded driver scenarios.
63
64.. test:: Automated Parking Qualification
65 :id: TEST_QUAL_009
66 :status: open
67 :links: SWREQ_026, SWREQ_027
68
69 Qualify the automated parking software by verifying slot recognition and park
70 trajectory execution across parallel and perpendicular slots, mixed obstacle
71 density, and varied surface markings.
SWE.6 Qualification Test CasesΒΆ
This document provides qualification test cases to validate the fulfillment of software requirements from SWE.1.
Qualify the lane detection functionality by verifying its accuracy in identifying lane markings and providing corrective steering under specified conditions. |
Qualify the adaptive cruise control by testing its ability to measure distances and adjust speed dynamically in accordance with defined safety parameters. |
Qualify the collision avoidance system by ensuring it can detect potential collisions and execute emergency braking effectively. |
Qualify the pedestrian safety system by testing its detection, alerting, and emergency braking functionalities in predefined scenarios. |
Qualify the integration of lane detection, adaptive cruise control, collision avoidance, and pedestrian detection for seamless functionality and safety compliance. |
Qualify the speed limit sign detection software by verifying correct recognition of posted limits in representative traffic scenes. |
Qualify the blind spot monitoring software by verifying zone occupancy detection and lane change warning behavior across mixed traffic, weather, and lighting scenarios. |
Qualify the drowsiness detection software by verifying eye-state estimation and alert behavior across daytime, low-light, and partially-occluded driver scenarios. |
Qualify the automated parking software by verifying slot recognition and park trajectory execution across parallel and perpendicular slots, mixed obstacle density, and varied surface markings. |