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Average Ratings 0 Ratings
Description
When you engage with a web page, Screenster captures your interactions seamlessly. There’s no need for coding, referencing element IDs, or inserting checks and assertions. After recording your test, you can rerun it while allowing Screenster to enhance its performance. It automatically identifies parameters, and self-healing selectors are saved for every action taken. You can review and approve any alterations to the baseline, updating the default state of the user interface as needed. Additionally, you have the option to exclude specific UI elements from the comparison process. Forget about browser plugins, desktop installations, or complicated manuals; just enter a URL for a Screenster server and start your experience. Screenster is adept at detecting both visual and content modifications, utilizing advanced algorithms to compare test outcomes against the baseline and identify new, removed, or modified elements. Its intelligent selectors can effortlessly track moved or altered page components. Furthermore, Screenster intelligently adjusts timeouts and employs AI to determine the optimal moment to proceed to the next action. You can choose to execute your tests on our cloud platform or opt to download and install Screenster Server locally for on-premise use. Not only does Screenster simplify the testing process, but it also enhances efficiency and accuracy, making it an invaluable tool for developers and testers alike.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
API Access
Has API
Integrations
Amazon CloudWatch
Apache Kafka
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana Cloud
Humio
Jira
Microsoft Azure
Integrations
Amazon CloudWatch
Apache Kafka
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Grafana Cloud
Humio
Jira
Microsoft Azure
Pricing Details
$100.00/month/user
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Screenster
Founded
2016
Country
United States
Website
screenster.io
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting