EDIT: after some tests here I found that @Before and @After does not work for Test Suite. In your case you should use @BeforeClass and a static method to encapsulate your initialization code.
The downside is that it will only be called when your run the entire suit and not separate tests or test classes. So an alternative would be to call the same static method in the suite class from an @BeforeClass methods in all you classes.
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There is no code coverage feature installed by default in the Spring Tools 4 for Eclipse distribution (and never was, as far as I remember), but you might have had an Eclipse installation with such a third-party plugin installed. Maybe installing this from the marketplace helps:
The all-new Spring Tools can be used in various coding environments, ranging from Eclipse as a full-featured integrated development environment to Visual Studio Code and Theia as lightweight code editors. Continue to use your preferred environment and add great Spring tooling to it.
Understanding and quickly navigating source code is essential for coding. The new Spring Tools 4 understands your Spring-based source code and allows you to quickly get an overview and navigate to the important pieces of your Spring apps. Finding Spring elements and navigating to them has never been easier.
Spring Tools 4 now bridges the gap between your source code and running Spring Boot applications. By taking advantage of the Spring Boot Actuators, we enriched the source code with detailed information from the running app (e.g., exact bean wiring information, conditional reports, configuration, details, and more).
Ask whether to make the recently collected coverage suite active every time you run coverage analysis. In this case a dialog will appear, where you can choose to only display the new results, to add them to the existing results, or save them to storage without viewing.
Only save the recently collected coverage suite to storage after you have run coverage analysis. In this case, new coverage data will not be shown unless you explicitly select the corresponding suite in Run | Manage Coverage Reports.
ABP Suite allows you to easily create CRUD pages. You just need to define your entity and its properties and let the rest go to ABP Suite for you! ABP Suite generates all the necessary code for your CRUD page in a few seconds. It supports Angular, MVC and Blazor user interfaces.
The good thing is that you don't have to worry about those options. ABP Suite understands your project type and generates the code for your project and places the generated code in the correct place in your project.
ABP Suite generates the source code for you! It doesn't generate magic files to generate the web page. ABP Suite generates the source code for Entity, Repository, Application Service, Code First Migration, JavaScript/TypeScript and CSHTML/HTML and necessary Interfaces as well. ABP Suite also generates the code according to the Best Practices of software development, so you don't have to worry about the generated code's quality.
Since you have the source code of the building blocks of the generated CRUD page in the correct application layers, you can easily modify the source code and inject your custom/business logic to the generated code.
ABP Suite allows you to customize the generated code blocks and preserve your custom code changes in the next CRUD Page Generation. It specifies hook points to allow adding custom code blocks. Then, the code written by you to these hook points will be respected and will not be overridden in the next CRUD Page Generation.
To enable custom code support, you should check the Customizable code option in the CRUD Page Generation page (it's selected by default). When you enable the custom code support, you will see some hook points in your application on both the backend and UI side.
When you enable the custom code support, the .filenesting.json file will be created in the root project directory to hide the custom code files (files with .Extended.* postfix) in Visual Studio. Therefore, to be able to see the custom code files you should click the expand icon for the related file as can be seen from the following figure:
You can write your custom code in those classes (with the *.Extended.cs extension) and next time when you need to re-generate the entity, your custom code will not be overridden (only the base abstract classes will be re-generated and your changes on Suite will be respected).
Custom code can be added to these classes, specifically within files named *.Extended.cs. By placing your custom code within these files, you can ensure that your changes will not be overridden during the next entity generation.
You can also add new method contracts to the interfaces, which are specifically marked as partial classes and can be extended with additional methods and then you can implement the related method in your custom code classes (with the *.Extended.cs extension).
Note: Custom code support is not limited to the domain layer components (entities, repository interfaces, and managers), everything explained in this section is also applicable to application services, DTOs, controllers, and so on...
For the UI side, ABP Suite provides convenient comment placeholders within pages for MVC, Blazor, and Angular UIs. These comment sections serve as hook points where you can add your custom code. By placing your custom logic with these hook points, you can enhance the UI to your needs without the fear of losing your changes during the next CRUD page generation.
When the Customizable code is set to true, .abstract. files are recreated each time schematics are executed, while .service. files are generated only once. As a result, modifications can be made to the .service.ts file, preserving your changes.
By placing your custom code between these placeholders, ABP Suite preserves and moves it to a new file during regeneration. You can add multiple templates using different placeholder numbers, ensuring uniqueness and matching end placeholders. The sequence of placeholder does not need to be ordered and can differ.
In software engineering, code coverage, also called test coverage, is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high test coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected software bugs compared to a program with low test coverage.[1][2] Many different metrics can be used to calculate test coverage. Some of the most basic are the percentage of program subroutines and the percentage of program statements called during execution of the test suite.
To measure what percentage of code has been executed by a test suite, one or more coverage criteria are used. These are usually defined as rules or requirements, which a test suite must satisfy.[4]
Parameter value coverage (PVC) requires that in a method taking parameters, all the common values for such parameters be considered. The idea is that all common possible values for a parameter are tested.[8] For example, common values for a string are: 1) null, 2) empty, 3) whitespace (space, tabs, newline), 4) valid string, 5) invalid string, 6) single-byte string, 7) double-byte string. It may also be appropriate to use very long strings. Failure to test each possible parameter value may result in a bug. Testing only one of these could result in 100% code coverage as each line is covered, but as only one of seven options are tested, there is only 14.2% PVC.
Methods for practical path coverage testing instead attempt to identify classes of code paths that differ only in the number of loop executions, and to achieve "basis path" coverage the tester must cover all the path classes.[citation needed][clarification needed]
The target software is built with special options or libraries and run under a controlled environment, to map every executed function to the function points in the source code. This allows testing parts of the target software that are rarely or never accessed under normal conditions, and helps reassure that the most important conditions (function points) have been tested. The resulting output is then analyzed to see what areas of code have not been exercised and the tests are updated to include these areas as necessary. Combined with other test coverage methods, the aim is to develop a rigorous, yet manageable, set of regression tests.
Software authors can look at test coverage results to devise additional tests and input or configuration sets to increase the coverage over vital functions. Two common forms of test coverage are statement (or line) coverage and branch (or edge) coverage. Line coverage reports on the execution footprint of testing in terms of which lines of code were executed to complete the test. Edge coverage reports which branches or code decision points were executed to complete the test. They both report a coverage metric, measured as a percentage. The meaning of this depends on what form(s) of coverage have been used, as 67% branch coverage is more comprehensive than 67% statement coverage.
There are also some sorts of defects which are affected by such tools. In particular, some race conditions or similar real time sensitive operations can be masked when run under test environments; though conversely, some of these defects may become easier to find as a result of the additional overhead of the testing code.
Most professional software developers use C1 and C2 coverage. C1 stands for statement coverage and C2 for branch or condition coverage. With a combination of C1 and C2, it is possible to cover most statements in a code base. Statement coverage would also cover function coverage with entry and exit, loop, path, state flow, control flow and data flow coverage. With these methods, it is possible to achieve nearly 100% code coverage in most software projects.[17] 589ccfa754
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