C/C++ with CMake

TIP: Please make sure to read Getting started with programming tasks first.

You can start with our sample project that can be found on GitHub:

Open sample project.

Download the sample project. 

Technical details for C/C++ with CMake support

Any CMake project might be used as a programming task. We support the Google Test framework for unit tests. STL and Boost are available at runtime for projects. If you need any other libraries, please, just let us know

Your project will be executed with the following command:

cmake . && make clean && make && make test

Important:  If you add any external dependencies in your project, make sure to place them in the external  directory placed in the project root directory - this will cause any source files placed there to be omitted during code quality analysis.
Note: Your code pack must contain asetup.py file. Unit tests executed during the build might be used to perform an automatic evaluation of the candidate's answer

Automatic assessment

It is possible to automatically assess the solution posted by the candidate. Automatic assessment is based on Unit Test results and Code Quality measurements.

All unit tests that are executed during the build will be detected by the TalentScore platform.

There are two kinds of unit tests:

  1. Candidate tests - unit tests that are visible for the candidate during the test. Should be used to do only the basic verification and help the candidate to understand the requirements. Candidate tests WILL NOT be used to calculate the final score.
  2. Verification tests - unit tests that are hidden from the candidate during the test. Files containing verification tests will be added to the project after the candidate finishes the test and will be executed during the verification phase. Verification tests result will be used to calculate the final score.

After the candidate finishes the test, our platform builds the project posted by the candidate and executes verification tests and static code analysis.

Devskiller project descriptor

The programming task can be configured with the Devskiller project descriptor file. Just create a devskiller.json file and place it in the root directory of your project. Here is an example project descriptor:

  "verification" : {
    "testNamePatterns" : [ "Verification.*" ],
    "pathPatterns" : [ "test/Verification**" ]

You can find more details about devskiller.json descriptor in our documentation.

Automatic verification with verification tests

To enable automatic verification of candidates' solutions, you need to define which tests should be treated as verification tests.

All files classified as verification tests will be removed from a project prepared for the candidate.

To define verification tests, you need to set two configuration properties in devskiller.json project descriptor:

  • testNamePatterns - an array of RegEx patterns that should match all the test names of verification tests. Test name contains: [Class_name].[method_name]. In our sample project, all verification tests are in VerificationCalculatorTest class, so the following pattern will be sufficient:
"testNamePatterns" : [ "Verification.*" ]
  • pathPatterns - an array of GLOB patterns that should match all the files containing verification tests. All the files that match defined patterns will be deleted from candidates' projects and will be added to the projects during the verification phase. These files will not be visible for candidates during the test. In our sample project all files with verification tests are placed in tests/ directory and have "Verification" prefix, so the following pattern will be sufficient:
"pathPatterns" : [ "test/Verification**" ]
Was this article helpful?
0 out of 0 found this helpful