Test Coverage.

Test coverage quantitatively measures the effectiveness of testing.

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Test Coverage.

Test coverage quantitatively measures the effectiveness of testing.

Request a Live Demo

What is Test Coverage?

Test coverage quantitatively measures the effectiveness of testing. This approach is used to see if the test cases have assessed all the functional requirements of the software.

Most of us are familiar with the concept of code coverage. Code coverage is the percentage of code which is covered by automated tests. But test coverage is different – it is a broader concept which asks how much of our software is covered by tests, across all test types. These can include unit tests, as well as functional tests, UI automation tests, performance tests, integration tests, and acceptance or system tests.

To measure the impact of such tests, you need to manually list the requirements of the software and then analyze each test case in order to understand which cases are covered.

What is Test Coverage?

Test coverage quantitatively measures the effectiveness of testing. This approach is used to see if the test cases have assessed all the functional requirements of the software.

Most of us are familiar with the concept of code coverage. Code coverage is the percentage of code which is covered by automated tests. But test coverage is different – it is a broader concept which asks how much of our software is covered by tests, across all test types. These can include unit tests, as well as functional tests, UI automation tests, performance tests, integration tests, and acceptance or system tests.

To measure the impact of such tests, you need to manually list the requirements of the software and then analyze each test case in order to understand which cases are covered.

Challenges with Test Coverage
in Development Organizations
.

Manual
Tasks

Most of the tasks in these testing methodologies are manual. Since there are no tools to automate, it takes a lot of effort to analyze the requirements and create test cases.

No Concrete Way
of Measurement

There is no concrete way to measure test coverage. You can count features and then measure them against a number of tests, but this leaves space for errors.

Coverage Tools Provide Insufficient Data

Most test coverage tools are only relevant for unit tests and you need to invest a lot of time and effort in order to benefit from them. Additionally, many developers rely too much on the tools and have an unrealistic expectation of their capabilities.

Challenges with Test Coverage
in Development Organizations
.

Manual
Tasks

Most of the tasks in these testing methodologies are manual. Since there are no tools to automate, it takes a lot of effort to analyze the requirements and create test cases.

No Concrete Way
of Measurement

There is no concrete way to measure test coverage. You can count features and then measure them against a number of tests, but this leaves space for errors.

Coverage Tools Provide Insufficient Data

Most test coverage tools are only relevant for unit tests and you need to invest a lot of time and effort in order to benefit from them. Additionally, many developers rely too much on the tools and have an unrealistic expectation of their capabilities.

The Sealights Platform

The Only Way to Measure Test Coverage
Across All Test Systems

SeaLights is a Quality Intelligence Platform that lets you measure actual test coverage beyond unit tests. You can seamlessly integrate this platform with all your testing tools and measure holistic test coverage across all test types, including integration tests, acceptance tests, and manual tests. These test coverage metrics can help you determine if you are extensively testing your product, if your software is at risk because of untested code changes, or if you might be shipping out untested code with your next release.

Learn more

The Sealights Platform

The Only Way to Measure Test Coverage
Across All Test Systems

SeaLights is a Quality Intelligence Platform that lets you measure actual test coverage beyond unit tests. You can seamlessly integrate this platform with all your testing tools and measure holistic test coverage across all test types, including integration tests, acceptance tests, and manual tests. These test coverage metrics can help you determine if you are extensively testing your product, if your software is at risk because of untested code changes, or if you might be shipping out untested code with your next release.

Learn more

How Software Quality Intelligence
Can Help Manage Technical Debt

Ideally, developers and their managers want to allocate development resources towards new functionality that benefits users and enhances revenue. But in reality, developers spend a lot of time on maintenance and bug fixing. Optimizing this activity is key to making development organizations more effective.

Test Impact Analysis.

Too many redundant tests are created and kept, taking up engineering resources. SeaLights reduces test creation by isolated areas where code was recently modified or executed in production but did not undergo regression testing. Team members and managers can use smart data to identify gaps and to develop new tests in sprints to come.

Untested code in production results in failures, poor user experience, and time wasted on carrying out hotfixes. SeaLights analyzes modifications to your code and lets you know whenever ann untested code change has gone through production unnoticed. Prevent risky code prior to shipment and address critical issues before they affect your users.

Manual Test Coverage.

Manual testing is concurrent learning, test design, and test implementation of critical components of the application. It provides quick feedback and reveals critical bugs in newly released features. These tests are manual, so they have a longer test execution time, and there are more costs involved. Thus, it is essential to minimize overlap with different kinds of tests. Achieve visibility into which areas of code are being tested with exploratory and manual tests, in order to enhance team success and productivity.

Functional Test Coverage.

Applications are developed with several builds each made up of distinctive code changes. This climate of incremental code changes, particularly functional, API and regression testing CI/CD pipelines, demand straight forward functional test code coverage to facilitate visibility and efficient feedback loops.

Learn more
Learn more
Learn more

How Software Quality Intelligence
Can Help Manage Technical Debt

Ideally, developers and their managers want to allocate development resources towards new functionality that benefits users and enhances revenue. But in reality, developers spend a lot of time on maintenance and bug fixing. Optimizing this activity is key to making development organizations more effective.

Test Impact Analysis.

Too many redundant tests are created and kept, taking up engineering resources. SeaLights reduces test creation by isolated areas where code was recently modified or executed in production but did not undergo regression testing. Team members and managers can use smart data to identify gaps and to develop new tests in sprints to come.

Untested code in production results in failures, poor user experience, and time wasted on carrying out hotfixes. SeaLights analyzes modifications to your code and lets you know whenever ann untested code change has gone through production unnoticed. Prevent risky code prior to shipment and address critical issues before they affect your users.

Manual Test Coverage.

Manual testing is concurrent learning, test design, and test implementation of critical components of the application. It provides quick feedback and reveals critical bugs in newly released features. These tests are manual, so they have a longer test execution time, and there are more costs involved. Thus, it is essential to minimize overlap with different kinds of tests. Achieve visibility into which areas of code are being tested with exploratory and manual tests, in order to enhance team success and productivity.

Functional Test Coverage.

Applications are developed with several builds each made up of distinctive code changes. This climate of incremental code changes, particularly functional, API and regression testing CI/CD pipelines, demand straight forward functional test code coverage to facilitate visibility and efficient feedback loops.

Learn more

Exploratory Test Code Coverage.

Sealights shows you which code areas are being tested, via the use of manual and exploratory tests. You can use this information to improve team efficiency and release speed.

Functional Test Code Coverage.

In continuous delivery, each build contains unique incremental code changes, as a result of bug fixes or new functionality. These are areas of high exposure and risk, because the new code might contain bugs or have unwanted side-effects on existing code. Sealights provides Functional Test Coverage to reveal if your tests covering the recent code changes. IIdentify effectiveness of tests and get rid of duplicate and overlapping tests which essentially test the same thing.

Quality Trend
Intelligence.

Software development managers need to know the quality of deliverable over time and quickly evaluate if testing processes are effective. SeaLights lets managers conduct effective retrospectives based on quality, development KPIs and scores, by highlighting which tests were really effective and what can be improved.

Leveraging Quality Intelligence
to Test Coverage

Most teams do not have a clear way to measure their true test coverage. Today, many organizations are looking for ways to measure their actual test coverage, and want methods that go beyond unit tests. To date, there has been no easy way to see a unified test coverage metrics across all test types and all test systems. SeaLights measures actual test coverage, going beyond unit tests to include integration tests, acceptance tests, and manual tests as well.

SeaLights makes this possible by:



  • Real-time analytics on all test types.



  • Examining code changes and their coverage level.



  • Provides managers with analytics that helps him determine his release readiness.



  • Enables data-driven decisions that will reduce the risk of a low-quality release.

Exploratory Test Code Coverage..

Sealights shows you which code areas are being tested, via the use of manual and exploratory tests. You can use this information to improve team efficiency and release speed.

Functional Test Code Coverage.

In continuous delivery, each build contains unique incremental code changes, as a result of bug fixes or new functionality. These are areas of high exposure and risk, because the new code might contain bugs or have unwanted side-effects on existing code. Sealights provides Functional Test Coverage to reveal if your tests covering the recent code changes. IIdentify effectiveness of tests and get rid of duplicate and overlapping tests which essentially test the same thing.

Quality Trend
Intelligence.

Software development managers need to know the quality of deliverable over time and quickly evaluate if testing processes are effective. SeaLights lets managers conduct effective retrospectives based on quality, development KPIs and scores, by highlighting which tests were really effective and what can be improved.

Leveraging Quality Intelligence
to Test Coverage

Most teams do not have a clear way to measure their true test coverage. Today, many organizations are looking for ways to measure their actual test coverage, and want methods that go beyond unit tests. To date, there has been no easy way to see a unified test coverage metrics across all test types and all test systems. SeaLights measures actual test coverage, going beyond unit tests to include integration tests, acceptance tests, and manual tests as well.

SeaLights makes this possible by:



  • Real-time analytics on all test types.

  • Examining code changes and their coverage level.

  • Provides managers with analytics that helps him determine his release readiness.
  • Enables data-driven decisions that will reduce the risk of a low-quality release.

Learn More About Test Coverage, Read our White Paper

Automatically Speed Up Your Regression Testing Cycles with ML-based Test Impact Analysis

Test Impact Analytics is the modern way to speed up the test automation phase of a build. It is a change-based testing technique that rapidly exposes issues in new/modified code since the previous test run.

This whitepaper goes on to describe the benefits of using Test Impact Analytics, a new feature of the SeaLights Quality Intelligence Platform.

By submitting this form I agree that SeaLights may process my data in the manner described in SeaLights Privacy Policy.

Learn More About Test Coverage, Read our White Paper

Automatically Speed Up Your Regression Testing Cycles with ML-based Test Impact Analysis

Test Impact Analytics is the modern way to speed up the test automation phase of a build. It is a change-based testing technique that rapidly exposes issues in new/modified code since the previous test run.

This whitepaper goes on to describe the benefits of using Test Impact Analytics, a new feature of the SeaLights Quality Intelligence Platform.

By submitting this form I agree that SeaLights may process my data in the manner described in SeaLights Privacy Policy.