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               AI-assisted sanitation and optimisation
of manual test repository
 

Discover Orbiter Beta

in a video of 1.5 min

GIVE YOUR TEST
A BREATH
OF FRESH AIR

3 main functions

Natural language analysis and grouping by similarities

  • Selection and retrieval of manual test cases from your repository (ALM…)

  • Use of AI clustering techniques to order test cases under the form of dendrograms

Test cases optimisation and refactoring

  • Machine learning functions to suggest optimisations

  • Correction of test cases: deletion/addition/permutation of steps, etc 

  • Refactoring functions: parametrisation, automatic propagation, homogenisation of steps, deletion of redundancies, etc.

Visual display of test sequences under the form of graphical workflows

  • Visual identification of the selected test scenario thru highlighted path in the graphical workflow

  • On-the-fly update of the graphical workflow for any refactoring action

  • Option : upload of the optimised test scenarios and graphical workflows in YEST®

ORBITER Beta advantages

20 to 40% reduction of test steps

3 to 5 time faster than a manual optimisation process

When use Orbiter Beta ?

You wish to start fresh with a clean and optimised test repository

You wish to secure a technological migration of a legacy system

You wish to improve test automation level

You wish to secure and accelerate a major change in your testing practice
(change of Test management tool, change of testing service provider, etc.)

You wish to map your test asset with graphical business process workflows

They contribute to the financing of our innovations.....
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