Keysight Eggplant Features

Tests software, websites, and servers by applying stress on all components

Pushes extreme situations to test high-use or high-impact components

Offers test variety from user experience to backend performance, and more

Checks web applications or websites for issues or bugs

Test the ability of mobile applications

Test applications through the cloud

Allows developers to check if their applications/web browsers are running as expected.

Generates reports regarding load testing successes, failures, and concerns

Track the availability time for a designated network or website over a given period of time

Collect and analyze traffic data about website visitors

Active reporting of data and metrics

Provides developers with actionable insight after running tests.

Maintains a thorough history of test logs for future reference and analysis.

Grants developers granular control to define tests and test parameters.

Allows developers to automate a wide variety of test types according to need.

Automatically assigns relevant followup tasks and notifies appropriate team members of status after testing.

Runs tests automatically and reliably according to the parameters and frequency defined.

Tests completely and thoroughly to minimize developer workload.

Supports integration with multiple data sources for seamless data input.

Set up connections to third-party platforms to improve business processes

Enhances output accuracy and speed through efficient ingestion and processing of training data.

Generates actionable insights by applying learned patterns to key issues.

Continuously improves and adapts to new data using specified algorithms.

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Run multiple tests simultaneously in different environments or parts of the code base

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Effectively creates tests by recording or analyzing user interface interactions.

Accurately translates plain-language descriptions into functional tests.

Provides AI-driven recommendations for improving test coverage.

Tests effectively self-heal to adapt to changes in the application.

Identifies application elements even after their properties change.

Reduces the time and effort required to maintain existing test suites via AI.

Provides insightful dashboards and reports for understanding test results and overall application quality.

AI accurately identifies unintended visual changes or bugs in the user interface.

Analysis clearly pinpoints the root cause of test failures.

Creation, administration, and evaluation of assessments or tests

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Uncovers vulnerabilities of the system and determines whether system data and resources are protected from possible intruders

Allows developers to run the same test over and over again using different values

Graphical representation of data

Import and export data to and from software applications

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Application programming interface that allows for integration with other systems/databases

Consistent way of encoding multilingual text that enables the exchange of text data internationally

Observe and track the demand, usage, progress or quality of a system, product, or user

Organize and manage the accomplishments and development of employees or performance of applications or systems

Active reporting of data and metrics

Record and follow the progress of every issue

Allows developers to check if their applications/web browsers are running as expected.

Monitor and track bugs and issues in the system.

Track and manage adherence to policies for any service, product, process, or supplier

Copy and paste test cases in order to use the same tests in different suites and plans

Enables creation, management, and tracking of product requirements & features during product production/development

Organize test cases into hierarchical test plans

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Technique where run time behavior of software under test is checked against predictions made by a model

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Identify and respond to unexpected problems or failures (ie. "negative events")

Systematic evaluation of various aspects of a project or service to prevent defects or issues

Track revisions and updates made to files and navigate between different versions

Track and document all activities across devices, networks, and other systems

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Software testing technique by which we can check the defects in software without actually executing it

Assess the performance and functionality of software by testing against predefined requirements and specifications

Active monitoring of systems, applications, or networks

Alter the layout and content of reports

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Scripting technique that uses data files to contain the keywords related to the application being tested

Ability to create, review and approve test scripts

Manage and store data in a database

Create, design and manage workflows for repetitive tasks

Use AI to generate content in the form of text, images, videos, etc.

Provides a channel for team members to share media files, communicate, and work together

Assemble applications and processes by dragging over and arranging pre-built components

Application programming interface that allows for integration with other systems/databases

Set up connections to third-party platforms to improve business processes

Securely stores data to prevent data loss or breaches

Identify component attributes like servers, hardware, software, and manage relationships across all services

Review data from past periods to reveal recurring tendencies and predict future performance

Active monitoring of systems, applications, or networks

View and track pertinent metrics to find patterns and gain insights from data

Form predictions based on past and present data/trends

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Analyze and gain insights into data in real-time

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Tracks metrics that provide insight into how a user interacts with any interface or product

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Track and document all activities across devices, networks, and other systems

Statistical data that helps identify improvement areas, delays or interruptions, and output of an employee

Metrics that analyze performance tests across multiple browsers

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Receive data and information in real time

Translate EDI formats into data suitable for use with company applications.

Organize and manage the accomplishments and development of employees or performance of applications or systems

Import and export data to and from software applications

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Detect areas where test errors occur

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

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A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Interact with data visualization elements, such as charts and graphs, to drill down into data

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track the status over time for a request, process, asset, or transaction

Observe and track the demand, usage, progress or quality of a system, product, or user

Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.

Manage and store data in a database

Test specific APIs to determine if systems are properly functioning

Remotely monitor and manage client networks, endpoints, systems, and devices via locally installed applications

Pre-written scripts that simulate situations within each test

Use AI to generate content in the form of text, images, videos, etc.

Automates and streamlines business processes by creating a sequence of predefined rules and actions that govern the flow of work

Creation, administration, and evaluation of assessments or tests

Plan availability and assign specific time slots for tasks and resources

Assemble applications and processes by dragging over and arranging pre-built components

Graphical representation of data

Track and analyze information regarding website visitors

Create scenarios that can be used to manage testing environments

Allows users to manage data from a number of sources

Compare key metrics for the business against prominent players in the industry

Detect and remove errors

Predict future data based on historical data sets

Monitor and track bugs and issues in the system.

Provides test performance metrics such as availability, response time, and stability for a system

Record and follow the progress of every issue

Platform to achieve application and desktop virtualization

Identify and respond to unexpected problems or failures (ie. "negative events")

A process to automatically integrate code changes from multiple contributors into a shared repository

Analyzing historical and current data and generating a model to help predict future outcomes.

Configure existing workflows to meet your organization's needs

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Import and export data to and from software applications

Application programming interface that allows for integration with other systems/databases

Predict future data based on historical data sets

Graphical representation of data

Track status, assign actions, and control access to systems for devices within the organization

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Provides a channel for team members to share media files, communicate, and work together

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Share, track, and store machine learning models and data.

Ability to handle large datasets

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Import, collect, and capture data from multiple sources

Track and document all activities across devices, networks, and other systems

Connect to big data sources

Protect sensitive data for digital privacy

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, design and manage workflows for repetitive tasks

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users