Embold at Atlassian!
Embold takes that data, enriches it using advanced algorithms and machine learning, and uses it to help teams achieve higher productivity and code quality. This is done via the apps that Embold has developed for Atlassian users.
Embold’s Recommendation Engine
The Recommendation Engine (RE) correlates defect patterns in code to issues in Jira and converts them to rules. RE notifies developers of any occurrences of violations of these rules.
Embold’s multi-dimensional scan also detects design anti-patterns, vulnerabilities, code issues, code metric violations, and of course code duplications!
Embold Connect
Embold Summary
There is a considerable disconnect between a team’s sprint process and the software quality monitoring process. This is because software analytics is always done at a file or repository level. Embold fixes this by bringing software analytics at a feature (ticket) level for the first time.
Embold ticket rating will allow Jira users to monitor quality at a ticket level and address critical issues during a sprint.
Embold Suggestions
- Assignee suggestion
Assigning a ticket to the wrong person can result in significant inefficiency. Embold uses machine learning to suggest the most suitable assignee. This eliminates the potential inefficiency and always makes sure the right person is in charge.
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Is ‘Road Vehicle Functional Safety’ important for you? Embold is tested and certified by TÜV SÜD for ISO 26262 and IEC 61508.