importiertest

Importiertest is a term used in software testing to describe a set of tests designed to validate the import functionality of a software system. These tests verify that data from external sources is correctly ingested, parsed, transformed, and stored according to business rules. They address how well the importer handles formats such as CSV, JSON, XML, or database extracts, and how it interacts with downstream components.

Etymology and usage: The term is formed from the German verb importieren (to import) and Test, reflecting its use in German-speaking software engineering contexts. In English-language docs, the phrase import tests or data import tests is commonly used, but importiertest may appear in localized materials or discussions.

Scope and objectives: Import tests cover data extraction, parsing accuracy, field-to-column mapping, data type conversion, and validation rules. They examine duplicate handling, error reporting, and the system’s ability to recover from partial failures. Performance aspects, such as throughput and resource usage during import, may also be evaluated, along with security considerations like input validation and sanitization.

Types of tests: Unit tests focus on individual parsers and validators; integration tests validate the end-to-end flow between the data source and the target data store; and end-to-end tests simulate realistic data pipelines and user-facing outcomes. Regression testing ensures that changes to import logic do not reintroduce past issues.

Methodology: Common practices include defining representative data sets, including edge cases, automating test execution, and integrating results with continuous integration pipelines. Test data management and isolation from production data are emphasized to maintain reliability and compliance.

See also: Data ingestion testing, ETL validation, data quality testing.