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Type: Feature
Priority: Not Assigned
Fix Version/s: PI7
Component/s: COM PSS SW
Labels:
- Team_PSS

ARTs:

Data Processing
Benefit hypothesis:

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We will have a unit tested IQRM RFIM implementation in CHEETAH and improved RFIM testing for future algorithms.

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We will have a unit tested IQRM RFIM implementation in CHEETAH and improved RFIM testing for future algorithms.
Acceptance criteria:

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Given – The existing IQRM RFIM algorithm
When — CHEETAH is compiled and unit tests are run with RFIM module.
Then — The unit tests, including at least one additional test, correctly pass and fail, demonstrating functional correctness of the module.

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Given – The existing IQRM RFIM algorithm When — CHEETAH is compiled and unit tests are run with RFIM module. Then — The unit tests, including at least one additional test, correctly pass and fail, demonstrating functional correctness of the module.
Feature Points:
6
Initial Size:
6
WSJF:
0
Epic Link:
PSS Pipeline MVP
Agile Teams:

Team_PSS
Due Sprint:
Sprint 5
Story Point Burn-up:
Overdue:
Outcomes:

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Insert links to relevant docs and / or code here:
See doc at:
https://www.dropbox.com/s/hz5ssm6rsda38ls/Efficacy_of_IQRM.pdf?dl=0

and

https://gitlab.com/SKA-TDT/cheetah/-/tree/rfim_generators

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Insert links to relevant docs and / or code here: See doc at: https://www.dropbox.com/s/hz5ssm6rsda38ls/Efficacy_of_IQRM.pdf?dl=0 and https://gitlab.com/SKA-TDT/cheetah/-/tree/rfim_generators
Resolved PI.Sprint:
8.1

Feature Checklist:

Stories Completed, Integrated, Outcomes Reviewed, Satisfies Acceptance Criteria, Accepted by FO

Demos:
- DP_ART_8.2
Requirement Status:

PI22 - UNCOVERED
Labels_MIRO:
Team_PSS

Description

Analyse the existing IQRM RFIM code. Understand its use cases and interface with CHEETAH. Address the pass and fail criteria of the current unit tests and assess their completeness. This is a time-boxed feature with an added purpose of new member Naidu acquiring familiarity with code development and testing.

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Structure

Activity

People

Assignee:: Mort, Ben

Reporter:: Pearson, Mike [X] (Inactive)

Votes:: 0 Vote for this issue

Watchers:: 0 Start watching this issue

Feature Progress

Story Point Burn-up: (100.00%)

Feature Estimate: 6.0

	Issues	Story Points
To Do	0	0.0
In Progress	0	0.0
Complete	7	51.0
Total	7	51.0

Dates

Created:: 02/Jun/20 6:21 PM

Updated:: 17/Feb/24 1:25 PM

Resolved:: 10/Sep/20 3:31 PM

Integrate new RFIM algorithm (IQRM) and refine generic RFIM testing.