Bug Investigation To Increase Bug Report Quality Increases Fix Likelihood By As Much As 50%

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Our research and running benchmarks like SWA, SWT and SWA has confirmed fidnings from studies of Mozilla and GitHub projects show bug reports with attachments, repro steps, and stack traces are up to ~50% more likely to be fixed than poorly described ones.

This is why our platform enforced deep investigation of every bug in the specfic context of your application. Using LogicStar's sematic and functional representation of your application. Augmented with the details of all related issues and signals along all related exception paths of this bug (later fix). LogicStar creates a rich contextual description of each issues, which feed the agents responsible in the reproduction, fixing, validation and Pull Request creation.

• Reproduction Healthcare
• Fixing
• Validation
• Pull Request creation

The seamless orchestration of all agents along each of those steps provides the most advanced and complete autonomous self-healing capabilities without the high precision required to not wasted engeneering time in babysitting and needless manual validation.