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What is UI-licious?

Avoid creating fragile tests that rely on hard-coded CSS, XPATH selectors, and unnecessary waits. Instead, focus on building tests that are meaningful, easy to maintain, and reusable. Writing tests with fixed CSS or XPATH selectors is like cementing a particular UI design, leading to tests that require constant updates whenever there are minor UI changes, making them hard for people to interpret. UI-licious employs dynamic code analysis to assess your website's structure by utilizing ARIA accessibility attributes and semantic HTML. It also considers the context of previous actions to identify the appropriate elements for each command. Consequently, even if the underlying HTML of the UI changes, the tests will remain functional as long as the user’s journey stays consistent. In fact, UI-licious can effectively work with your website even if it's not fully optimized. Additionally, this approach significantly reduces test maintenance efforts while enhancing overall test reliability.

What is Selector Analytics?

Selector's software-as-a-service utilizes advanced machine learning and natural language processing to provide self-service analytics that enable quick access to actionable insights, leading to a remarkable reduction in mean time to resolution (MTTR) by up to 90%. The groundbreaking Selector Analytics platform harnesses artificial intelligence alongside machine learning to execute three vital functions, providing network, cloud, and application operators with essential insights. It consolidates data from a vast array of sources, such as configurations, alerts, metrics, events, and logs, which can include information from router logs, device performance statistics, or the settings of devices across the network. After collecting this data, the system normalizes, filters, clusters, and correlates it through established workflows to produce actionable insights. Following this, Selector Analytics employs machine learning-based data analysis to scrutinize metrics and events, facilitating the automated identification of anomalies. This process allows operators to quickly pinpoint and resolve issues, thereby improving overall operational efficiency. By adopting this thorough methodology, organizations not only enhance their data processing capabilities but also gain the ability to make informed decisions driven by real-time analytics. Ultimately, this empowers teams to respond to challenges proactively and adapt swiftly to the dynamic landscape of their operations.

Media

Media

Integrations Supported

GitLab
Microsoft Teams
Slack
CircleCI
CodeShip
Microsoft Edge
Mozilla Firefox
Travis CI

Integrations Supported

GitLab
Microsoft Teams
Slack
Elastic Cloud
GitHub
Grafana Cloud
Humio
Jira
MongoDB
PostgreSQL
Prometheus
ServiceNow
SolarWinds Access Rights Manager
Splunk Cloud Platform
Zabbix

API Availability

API Availability

Has API

Pricing Information

$90 per month
Billed annually
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Uilicious

Date Founded

2016

Company Location

Singapore

Company Website

uilicious.com

Company Facts

Organization Name

Selector

Company Location

United States

Company Website

www.selector.ai/product/

Categories and Features

Automated Testing

Not specified

Software Testing

Not specified

Categories and Features

AIOps

Not specified

Network Monitoring

Not specified

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