UST NoSkript
Solution Overview
Key Features
Key Features:
Democratized Automation using Low Code
Flexibility to automate End-End user journeys across heterogeneous technologies using scripted and scriptless protocols
NLP based User Story Validation
Automatic identification of User story anomalies using AI techniques to cut down feedback cycle time
Augmented Developer Test
Auto-generation of Unit test cases coupled with impact analyzer reports to ensure high levels of code quality
Test Data Bots
Self Service synthetic data provisioning using Bots and domain-centric pre-fabricated data packs to minimize dependency on centralized teams
Intelligent Workload Manager
Massive parallel & distributed test executions leveraging docker containers to accelerate test velocity by 1.5x
Self-Healing Automation
AI-enabled self-healing engine with abilities to perform impact analysis and carry out automatic fixes to reduce maintenance efforts
Continuous Quality Monitoring
AI-based application monitoring, usage pattern, and feedback analysis to improve quality & availability of applications
Analytics & Insights
Centralized dashboard encompassing quality footprint at every step to monitor and identify risk and take proactive recourses
Key Benefits
Key Benefits
- 360-degree Low Code automated application certification through support for multiple testing types
- Plug-and play architecture with pre-built integrations with leading industry tools
- Accelerated DevOps implementation through stage-gating and pre-configured workflows and thresholds
- Multi-layered quality insights for visibility into enterprise quality for CXO's to project stakeholders
- Maximize testing and automation investments through reuse across heterogeneous channels
- Enhances consumer experience by validating business process across multiple digital channels
Case Study:
For a US-based retailer, UST leveraged UST NoSkript™ to automate Smoke, Regression and Health Check testing of 40+ applications. The script-less capability of the platform helped to repurpose their existing manual testers for automation activities. The team achieved 80% of automation coverage, which helped reduce the overall cost of testing by ~40% - all without writing a single line of code for testing.
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