Lan Xia

The Advance search feature searches all test output in DB. It takes really long time to return the result. We should look into a more efficient way of searching (i.e.,...

As part of AQAvit certification process, TAP files are collected and put them on a public server. TRSS should be able to get it, parse, store and display the results....

Instead of introducing a new fetch library - axios, We should use the existing one - got ``` const response = await got.get(this.url).buffer(); ``` https://github.com/sindresorhus/got#readme Related: https://github.com/adoptium/aqa-test-tools/pull/619

In https://github.com/adoptium/aqa-test-tools/issues/496, we collect user feedback for related git issue. If the issue is confirmed by the user, we should also show it in the `allTestsInfo`. http://trss1.fyre.ibm.com/allTestsInfo?buildId=60b3b5b1dfd84686d34b2731&limit=5&hasChildren=false In `allTestsInfo`, add...

Create AQAvit Certification View

2

We would like to show AQAvit Certification results. An `AQAvit Certification` menu should be created on the left side menu after `By Pipeline`. https://github.com/adoptium/aqa-test-tools/blob/master/test-result-summary-client/src/App.jsx#L48 The link should be `/tests/AQAvitCert`. In...

Create docker image for TRSS for new users

5

For new users, it will much easier if we have a TRSS docker image for them to try. Sample data should be inserted into database, so users can see the...

The Grid view is designed for displaying test results. In the case where the SDK build job fails, no test job will be triggered. If the users only check Grid...

Capture test output in create new git issue

1

In `Create New Git Issue`, we capture lots of information, such as java version, rerun link, Jenkins job link, TRSS link, etc. It will be useful if we can capture...

Date is processed incorrectly

7

http://trss1.fyre.ibm.com/output/build?id=60c322dae4632d7f59fa50f2  I think it is related to https://github.com/adoptium/aqa-test-tools/pull/406

Proposal: create live Deep Learning service for analyzing test output

3

Thanks to @LongyuZhang , we have the initial Deep Learning (DL) prototype that takes test outputs (from TRSS) as the training data to predict possible issues. The prototype uses Tensorflow...