Testing | For quality software
The main software analysis methods
The Automatic Tests are analytical methods for verifying the correct functioning of software.
Also used by Net Service to check their own development and integration work, they can be divided into seven big categories:
- Static code analysis, where potential errors and deviations from best practices in code writing can be identified by the syntactic analysis of the source code.
- Unit tests, where the correct execution of restricted, critical functions are checked, almost always during the continuous integration phase.
- Integration test, where the correct conduct of the system overall is checked.
- User acceptance test, where it is checked that the high-level function correspondence is checked by simulating the user’s interactions with the application.
- Loading test, where the conduct and performance of the system under a very high computational load is checked, simulating intensive use or an oversized number of users.
- Chaos Engineering, where random malfunctions are injected into the system (e.g. By stopping VM or processes) to check resilience to breakdowns.
- Security test, where checks are carried out on the vulnerability of software parts in various subsystems or compliance with security and licensing company policies.
The advantages of adopting a suite of automatic tests
The advantages of adopting a suite of automatic tests
Implementing a suite of Automatic Function Tests, integrated with the DevOps method, considerably increases the software quality, as it provides for:
intercepting implementation errors prior to release
providing immediate feedback on malfunctions and on performance problems
checking that the changes made have not altered the system's behaviour
checking correspondence between system, security and functional requisites
Tools and solutions for increasing the quality of software
Tools and solutions for increasing the quality of software
