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@andrew-codes andrew-codes released this 19 Jan 19:12
· 8 commits to main since this release

Changelog

v2.2.2 (2023-01-19)

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Closed issues:

  • Upgrade yarn #46

Merged pull requests:

v2.2.1 (2022-12-05)

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Fixed bugs:

  • Using ADO data source is broken #88
  • Automated e2e tests pass locally but fail in CI #86
  • Deployed release has wrong version number for assets #76

Closed issues:

  • v2.2.1 Release Summary #92

Merged pull requests:

v2.2.0 (2022-12-02)

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Small release to enable forecasting for a variable number of days (instead of the previous static 90 days).

Implemented enhancements:

  • User can change the number of days to forecast work item completion #40

Closed issues:

  • Add code of conduct guidelines #78
  • Preparing for hacktoberfest #77
  • Pull request template #58

Merged pull requests:

v2.1.0 (2022-09-02)

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Newly added data source enables directly from Azure DevOps (ADO).

ADO personal access token requires the read scope for both work items and users.

The ADO data source enables pulling data from an ADO team. It also enables specifying specific team members in case your ADO team is a superset of actual team members. The team member selector auto completes with ADO users found on the provided (input) team.

Screen shot of new ADO data source configuration:
image

Implemented enhancements:

  • Require at least 2 team members when forecasting #72
  • Select team members from an auto-completion list #69
  • ADO data source #66

Fixed bugs:

  • Team member selection is broken #74

Merged pull requests:

v2.0.0 (2022-08-29)

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Forecasting tool is now a desktop app that looks and behaves like a desktop app (no more console windows and browser pop ups). Due to this, and the porting of used technology, the app has reduced functionality compared with ^1.0.0. However, the new app codebase will serve as a foundation to add back these missing features and more.

Breaking changes:

  • Basic electron app that can be run for development #38

Implemented enhancements:

  • Enable selecting two or more work item owners to filter work items for throughput calculation #25
  • User can specify a Wiql query to be used to calculate throughput #24
  • Enable using TypeScript and fluent UI components for the ADO extension #23
  • Enable local development of ADO extension #22
  • Package and release ADO extension as GitHub Release artifact #19
  • Enable running and deploying to the web #16
  • Support data sources other than ADO via CSV file upload #13
  • Show weekly throughput for historical data #49
  • Release app for Linux #45
  • Release app for OSX #44
  • Release app for Windows #43
  • User can select a CSV file of throughput to be used in calculation #41
  • Forecast how many items can be completed in the upcoming 90 days based on historical data #39

Fixed bugs:

  • Fix intermittent CI failures when packaging applications #57

Closed issues:

  • Rewrite README for ADO extension implementation #21
  • Integrate with ADO as a dashboard extension #18
  • Instructions file bundled with each of the GitHub release artifacts #8
  • Enable e2e tests to run in CI #63
  • Develop with automated e2e or FE integration tests #53
  • Upload PR apps as artifact of PR #51
  • Update draft releases with release with nightly release notes #50
  • Enable writing unit tests via Jest #47
  • Add contributing guidelines file #20
  • Distribute license file with release artifacts #12

Merged pull requests:

v1.1.0 (2022-01-06)

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Implemented enhancements:

  • Forecast predicted dates when a specified number of work items will be completed #6

Closed issues:

  • Update README file with ^1.1.0 related documentation #7

Merged pull requests:

v1.0.0 (2022-01-05)

Full Changelog

First release!

Implemented enhancements:

  • Store and load ADO related information to a file; enabling re-running the application without needing to fill in ADO information on every run #5
  • Forecast for a subset of people found in ADO's work items #4
  • Directly pull work items from ADO's API #3
  • Forecast how many work items can be completed in a given time frame #2

* This Changelog was automatically generated by github_changelog_generator