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ARTs:

Data Processing
Benefit hypothesis:

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Enables quick response by operators to bad data being ingested by PST

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Enables quick response by operators to bad data being ingested by PST
Acceptance criteria:

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• Develop 'unhappy path' BDD tests for data streams going into STAT (bad power levels, non-zero mean, broadband impulsive RFI)
• Create BDD Scenarios in Jira XRay and implement automated tests in Gitlab
• Link tests and documentation to PST Release

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• Develop 'unhappy path' BDD tests for data streams going into STAT (bad power levels, non-zero mean, broadband impulsive RFI) • Create BDD Scenarios in Jira XRay and implement automated tests in Gitlab • Link tests and documentation to PST Release
Feature Points:
2
WSJF:
0
Epic Link:
AA0.5 Observation Execution
Story Point Burn-up:
Overdue:

STAT should alert via its TANGO device that the signal quality is below a quality threshold

Testing with unhappy paths for data streams going into STAT:
• bad power levels
• non-zero mean
• broadband impulsive RFI

Story Point Burn-up: (0%)

Feature Estimate: 2.0

Implement signal-quality thresholds and exercise alerts on bad data in the PST statistics monitor