automated testing

This article examines the current state of issues in working with APIs of various systems. The most common methodologies (Agile and DevOps), methods, and tools for building automated pipelines for project assembly and testing were analyzed, and a general pipeline structure was presented, which serves as a starting point for project development. As a result of analyzing surveys of developers and DevOps engineers, key problems in integration between different systems using APIs were identified.

This article analyzes the use of contract testing to verify the compatibility of two components, specifically web servers that use an Application Programming Interface (API) for data transmission.

Additionally, the article includes a comparison of APIs and contract tests and describes cases where the latter have an advantage. A contract structure for contract testing is described.

Paper describes the use of algorithmic knowledge models for overnight testing automation. The arhitecture of intellectual testing system is described. Algorithmic models formalization is proposed. Knowledge model interaction and execution is presented for a real world test automation system.

The article deals with software architecture for testing and verification methods for solving systems of equations in partial derivatives describing physical processes. Developed automated generation of processor architecture problems, their solution and comparative analysis with other methods of analysis tasks mathematical physics. Analyzed with software on shell COMSOL 4.2.