Showing results: 1 - 6 of 6 items found.
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Test Gap Analytics -
SeaLights
Too many unnecessary tests are developed and maintained, wasting valuable engineering resources. SeaLights minimizes test development by identifying areas where code was recently changed or executed in production, but has not been tested in any of your regression cycles. Managers and teams leveraging smart data can see exactly where gaps exist and plan where to develop new tests in the upcoming sprints.
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Block Untested Code Changes -
SeaLights
Untested code in production causes failures, bad customer experiences, and time wasted on executing hotfixes. SeaLights analyzes changes to your code and notifies you whenever an untested code change has slipped through to production. Stop risky code before it’s shipped and solve critical issues before they impact your users.
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Release Quality Analytics -
SeaLights
Software teams today are relying on insufficient data resulting in bad release decisions. SeaLights applies real-time analytics to hundreds of thousands of test executions, code changes, builds, historical data, and insights from production to determine release readiness.
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Quality Trend Intelligence -
SeaLights
Managers should understand the quality of deliverables over time, and whether the testing activities were efficient and effective. SeaLights enables this understanding of what quality activities have been executed and where your team should be focusing their efforts next.
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Functional Test Code Coverage -
SeaLights
Applications are developed with multiple builds each containing unique incremental code changes. In today’s reality of incremental code changes, especially functional, API and regression testing, CI/CD pipelines need simple Functional Test Code Coverage to enable visibility and quick feedback loops.
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Exploratory Test Code Coverage -
SeaLights
Exploratory testing is simultaneous learning, test design, and test execution of critical areas in the application. It is an efficient method to provide rapid feedback and uncover critical bugs in newly released features. As these tests are manual and their execution duration is longer and more expensive, it’s important to minimize overlap with other test types. Gain visibility into which code areas are being tested with manual and exploratory tests to improve team efficiency and speed.
