Test Process in Continuous Testing (DevOps)
Continuous Testing is defined as a software testing type that involves a process of testing early, testing often, test everywhere, and automate. It is a strategy of evaluating quality at every step of the Continuous Delivery Process. The goal of Continuous Testing is test early and test often.
Shift Left and Shift Right
Pro's and Cons
Pro's
LOWER THE COST OF TESTING & DEVELOPMENT
It’s well known that the sooner a bug is found, the cheaper it is to fix. One of the aims of Agile testing is detecting errors as soon as possible. With shift-left testing it’s possible to detect in real time, the exact moment in which an error was inserted into the system in order to resolve it in a timely manner. When testing is done with each build (especially during unit testing), the errors that are found are smaller, easier to detect and locate, and subsequently, less costly to fix.
INCREASE EFFICIENCY & QUALITY
With the increased levels of automation when shifting left, teams can benefit from:
Increased test coverage since more tests can be run in the same amount of time
Reduced human error rate
Monitoring performance and load over time
Code quality checks
Built-in security checks
Reducing issues in production that users may encounter
Beyond these benefits, being able to start testing sooner invariably results in a higher quality product, as testers are less rushed to find all the errors at the end, when there’s little time left to fix them.
Create in a micro-testing concept. therefore its easy to maintain test
COMPETE MORE FIERCELY
Competitive technological landscape
The barriers to compete are minimal
So the best way to survive is to be able to move fast and defend one’s stature by innovating in iterations, which is possible thanks to Agile, DevOps and Automation.
As everyone can agree that it’s important to deliver software more quickly, it also mustn’t be rushed out the door (causing a possible backfire).
Shift-left testing answers the problem of accelerating development without sacrificing quality and Shift Right to ensure that production is never compromised
Another—yet less obvious—benefit of shifting left is that it can help businesses position themselves as an attractive employer to top talent. Because it is becoming more mainstream, with about two thirds of IT workers reportedly using Agile or leaning towards agile and DevOps, it’s what the most forward thinking software professionals expect from their teams. Therefore, if you want to be an attractive employer or at least on-par with the rest, it is important to adopt the modern practices that both testers and developers want to master in order to stay relevant in today’s labor market.
Cons
EASIER SAID THAN DONE
For shift-left testing to be a success, an often drastic change in culture must occur first, which requires a team effort. Teams are usually set in their traditional ways of working, and when they consider shifting, they must consider how the methods, processes, skills, tooling, etc. will need to change. Even more important, what will need to happen to get all the roles within the organization to align properly?
RISK OF BOTTLENECKS
Yes, agile and shift-left aim to eliminate testing as a bottleneck, but it is true that agile teams can find themselves stuck:
- waiting in a queue once all of the pieces come together in the performance and user acceptance testing phases, due to the complexity of environments and composite applications.
To overcome the challenge, one way to overcome this is to to utilize service virtualization. Service virtualization emulates the behavior of essential components that will be present in production, enabling integration tests to take place much earlier in development. This is how you can eliminate that key bottleneck, while also benefiting from eliminating errors earlier on. Along with service virtualization, there are several tools to setup automated systems and CI such as Jenkins.
- Another challenge is Data Management during a CI, CT, CD process.
Where to test?
Shift Left and Shift Right
Pro's and Cons
Pro's
LOWER THE COST OF TESTING & DEVELOPMENT
It’s well known that the sooner a bug is found, the cheaper it is to fix. One of the aims of Agile testing is detecting errors as soon as possible. With shift-left testing it’s possible to detect in real time, the exact moment in which an error was inserted into the system in order to resolve it in a timely manner. When testing is done with each build (especially during unit testing), the errors that are found are smaller, easier to detect and locate, and subsequently, less costly to fix.
INCREASE EFFICIENCY & QUALITY
With the increased levels of automation when shifting left, teams can benefit from:
Increased test coverage since more tests can be run in the same amount of time
Reduced human error rate
Monitoring performance and load over time
Code quality checks
Built-in security checks
Reducing issues in production that users may encounter
Beyond these benefits, being able to start testing sooner invariably results in a higher quality product, as testers are less rushed to find all the errors at the end, when there’s little time left to fix them.
Create in a micro-testing concept. therefore its easy to maintain test
COMPETE MORE FIERCELY
Competitive technological landscape
The barriers to compete are minimal
So the best way to survive is to be able to move fast and defend one’s stature by innovating in iterations, which is possible thanks to Agile, DevOps and Automation.
As everyone can agree that it’s important to deliver software more quickly, it also mustn’t be rushed out the door (causing a possible backfire).
Shift-left testing answers the problem of accelerating development without sacrificing quality and Shift Right to ensure that production is never compromised
Another—yet less obvious—benefit of shifting left is that it can help businesses position themselves as an attractive employer to top talent. Because it is becoming more mainstream, with about two thirds of IT workers reportedly using Agile or leaning towards agile and DevOps, it’s what the most forward thinking software professionals expect from their teams. Therefore, if you want to be an attractive employer or at least on-par with the rest, it is important to adopt the modern practices that both testers and developers want to master in order to stay relevant in today’s labor market.
Cons
EASIER SAID THAN DONE
For shift-left testing to be a success, an often drastic change in culture must occur first, which requires a team effort. Teams are usually set in their traditional ways of working, and when they consider shifting, they must consider how the methods, processes, skills, tooling, etc. will need to change. Even more important, what will need to happen to get all the roles within the organization to align properly?
RISK OF BOTTLENECKS
Yes, agile and shift-left aim to eliminate testing as a bottleneck, but it is true that agile teams can find themselves stuck:
- waiting in a queue once all of the pieces come together in the performance and user acceptance testing phases, due to the complexity of environments and composite applications.
To overcome the challenge, one way to overcome this is to to utilize service virtualization. Service virtualization emulates the behavior of essential components that will be present in production, enabling integration tests to take place much earlier in development. This is how you can eliminate that key bottleneck, while also benefiting from eliminating errors earlier on. Along with service virtualization, there are several tools to setup automated systems and CI such as Jenkins.
- Another challenge is Data Management during a CI, CT, CD process.
Where to test?
Testing Process:
Test Management:
Test management most commonly refers to the activity of managing a testing process. A test management tool is software used to manage tests (automated or manual) that have been previously specified by a test procedure. It is often associated with automation software. Test management tools often include requirement and/or specification management modules that allow automatic generation of the requirement test matrix (RTM), which is one of the main metrics to indicate functional coverage of a system under test (SUT).
Test Quadrant
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