Search Results for "test case generation"

...It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. It follows an iterative workflow where generated tests are executed, validated, and refined to ensure they contribute meaningful coverage improvements. Internally, Qodo Cover uses a modular architecture that includes components for prompt generation, AI interaction, coverage analysis, and test validation. ...

...It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph workflows, and retrieval-augmented generation. The examples highlight how to integrate AI models, manage prompts, handle memory, and build multi-model or multi-agent workflows. Developers can explore individual project folders for detailed instructions and implementation guidance. ...

An Open Source Java implementation of Document Structuring schema (pl. schemata). Schemata structure (order) a set of facts (RDF in this case). They decide what to say in a Natural Language Generation (NLG) system. Introduced by McKeown (1985).

The TDD MAS Toolkit provides a set of tools to perform Test Driven Development of MAS based on Jade. The toolkit allows developers to set up simulation based and test case scenario based testing, providing powerful insights of the MAS under construction and assuring that the interation protocols and agent interaction in general are been enacted as expected.

...The data generation process is done in many steps like org data creation, data grouping, pair generation, data mutation and matching data patterns. Data generator also mangles field values of generated test data to achieve data errors and co-relate them in real life contexts like Family, Households, Organizations etc

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

The aim of the project is to provide a testing tool that would reduce the cost associated with the regression testing process. The tool provides test case subset selection so that the user need not run the redundant test cases.

...The open world assumption (OWA) states that the truth value of a statement that is not included in or inferred from the knowledge explicitly recorded in the system shall be considered unknown. The closed world assumption (CWA) is the assumption that any statement that is not known to be true is false. We distinguish yet another case in software testing. Frequently, there are test stubs which simulate the behaviors of the dependent test modules. In this case, the dependent test modules are always assumed to be true when their results are not available. We call this a stub assumption (SA). 3A-TRE example: echo "CWA: (T and U)" | java -jar PTRE.jar Result: F 3A-PTRE example: (P means possible results) echo "OWA: (T,U and U,F)" | java -jar PTRE.jar Result: U,F