The Role of Development and QA Teams
Testing is an integral part of the software development lifecycle. Both teams share a common objective—discovering bugs and code flaws before the software is delivered to the market. Due to the short, continuously iterative development practices of Agile methodologies, developers are forced to write, run and maintain integration tests for each software component. These tests must be run before each release cycle.
The high release velocity expected of development organizations means that there is less time available to Dev and QA teams to write and execute new tests. In addition, developing and maintaining integration tests is expensive and usually detrimental to the team’s efficiency.
This has made testing a bottleneck for fast-paced development organizations, resulting in inefficient processes due to redundant tests.
The Role of Development and QA Teams
Testing is an integral part of the software development lifecycle. Both teams share a common objective—discovering bugs and code flaws before the software is delivered to the market. Due to the short, continuously iterative development practices of Agile methodologies, developers are forced to write, run and maintain integration tests for each software component. These tests must be run before each release cycle.
The high release velocity expected of development organizations means that there is less time available to Dev and QA teams to write and execute new tests. In addition, developing and maintaining integration tests is expensive and usually detrimental to the team’s efficiency.
This has made testing a bottleneck for fast-paced development organizations, resulting in inefficient processes due to redundant tests.
Dev and QA Collaboration Challenges in Organizations.
High Release
Velocity
In Agile environments, software development teams have to code much faster.
If testing is rushed to increase release velocity, software quality declines as technical debt piles up.
Running Unnecessary
Tests
There is limited or no visibility on the areas of code being tested.
Scrum teams waste time and resources writing and running unnecessary tests.
There is no information on whether Scrum teams are testing the right sections of code or even using the right tests.
Fixing Problems Rather than
Developing New Features
Areas of code that were not tested in a certain build or during release cycles result in increased technical debt, quality issues and problems with the software.
Many software teams find themselves spending more time fixing problems than developing new features.
Dev and QA Collaboration Challenges in Organizations.
High Release
Velocity
In Agile environments, software development teams have to code much faster.
If testing is rushed to increase release velocity, software quality declines as technical debt piles up.
Running Unnecessary
Tests
There is limited or no visibility on the areas of code being tested.
Scrum teams waste time and resources writing and running unnecessary tests.
There is no information on whether Scrum teams are testing the right sections of code or even using the right tests.
Fixing Problems Rather than
Developing New Features
Areas of code that were not tested in a certain build or during release cycles result in increased technical debt, quality issues and problems with the software.
Many software teams find themselves spending more time fixing problems than developing new features.
The Sealights Platform
Effective Collaboration between Dev and QA Teams
The modern software development pipeline continuously generates massive amounts of data from multiple channels. Dev and QA teams must take this data into consideration during the decision-making process. The data includes test data, environment data, build data, coverage data and production data.
SeaLights is a quality intelligence platform that collects and analyzes streams of big data. Dev and QA teams can leverage this data to get sufficient insight and visibility into the quality and efficiency of their software development processes. At SeaLights, we believe that robust big data and smart analytics solutions help Scrum teams make more informed decisions on testing activities, resulting in higher product quality, increased velocity, and a more efficient software development process.
The Sealights Platform
Effective Collaboration between Dev and QA Teams
The modern software development pipeline continuously generates massive amounts of data from multiple channels. Dev and QA teams must take this data into consideration during the decision-making process. The data includes test data, environment data, build data, coverage data and production data.
SeaLights is a quality intelligence platform that collects and analyzes streams of big data. Dev and QA teams can leverage this data to get sufficient insight and visibility into the quality and efficiency of their software development processes. At SeaLights, we believe that robust big data and smart analytics solutions help Scrum teams make more informed decisions on testing activities, resulting in higher product quality, increased velocity, and a more efficient software development process.
Identifying
Quality Risks.
Quality risks are recent code changes that have not been tested. SeaLights can monitor and analyze data from all test frameworks and recommend where to add tests that will have the biggest impact on quality.
Identifying
Redundant Tests.
SeaLights identifies redundant testing activity that does not need to be included in the sprint. Redundant tests cover features that haven’t recently changed or are not actively used.
Support Release Decisions with Data.
SeaLights identifies features that are covered by tests at all levels (unit tests, UI tests, integration tests and end-to-end tests) and features that are most used in production, thus helping teams decide which build to release to production.
Leveraging Quality Intelligence for Better Collaboration between Dev and QA
SeaLights, a Quality Intelligence Platform, provides a Test Gap Analysis report, which identifies untested code areas by collecting relevant data in real-time from multiple sources across the software development pipeline including code changes, builds, historical data and trends. It analyzes the data to provide visibility into the areas of code that matter the most.
Test Gap Analysis enables QA and Dev teams to make accurate decisions on where and when tests should be written and executed. Such data-driven decisions are key to increasing release velocity in fast-paced development organizations and makes for more effective sprint planning.
With quantitative insights gained from Test Gap Analysis, QA teams can effectively guide development teams in maintaining low-risk technical debt and improving software quality by focusing their efforts on developing new tests for test gaps within their code.
Identifying
Quality Risks.
Quality risks are recent code changes that have not been tested. SeaLights can monitor and analyze data from all test frameworks and recommend where to add tests that will have the biggest impact on quality.
Identifying
Redundant Tests.
SeaLights identifies redundant testing activity that does not need to be included in the sprint. Redundant tests cover features that haven’t recently changed or are not actively used.
Support Release Decisions with Data.
SeaLights identifies features that are covered by tests at all levels (unit tests, UI tests, integration tests and end-to-end tests) and features that are most used in production, thus helping teams decide which build to release to production.
Leveraging Quality Intelligence for Better Collaboration between Dev and QA
SeaLights, a Quality Intelligence Platform, provides a Test Gap Analysis report, which identifies untested code areas by collecting relevant data in real-time from multiple sources across the software development pipeline including code changes, builds, historical data and trends. It analyzes the data to provide visibility into the areas of code that matter the most.
Test Gap Analysis enables QA and Dev teams to make accurate decisions on where and when tests should be written and executed. Such data-driven decisions are key to increasing release velocity in fast-paced development organizations and makes for more effective sprint planning.
With quantitative insights gained from Test Gap Analysis, QA teams can effectively guide development teams in maintaining low-risk technical debt and improving software quality by focusing their efforts on developing new tests for test gaps within their code.
Learn More About Better Collaboration, Read our White Paper
Building a Regression Testing Strategy for Agile Team
Regression testing in agile helps development teams concentrate on new functionality, while maintaining stability with every new product increment. Teams use regression testing to make sure that tested software continues to perform after every modification. Regression testing is the “stepchild” of agile testing, loved by few, but is essential to enable the high velocity that agile teams strive to achieve.
This white paper will discuss:
Regression testing in an agile context: basic concepts
Key considerations for automated regression testing
Why is regression testing important in agile development?
Regression testing challenges faced by agile teams
Building an agile regression testing strategy
Learn More About Better Collaboration, Read our White Paper
Building a Regression Testing Strategy for Agile Team
Regression testing in agile helps development teams concentrate on new functionality, while maintaining stability with every new product increment. Teams use regression testing to make sure that tested software continues to perform after every modification. Regression testing is the “stepchild” of agile testing, loved by few, but is essential to enable the high velocity that agile teams strive to achieve.
This white paper will discuss:
Regression testing in an agile context: basic concepts
Key considerations for automated regression testing
Why is regression testing important in agile development?
Regression testing challenges faced by agile teams
Building an agile regression testing strategy