austin-sbst
tcases
| austin-sbst | tcases | |
|---|---|---|
| 1 | 1 | |
| 7 | 201 | |
| - | 0.5% | |
| 0.0 | 7.1 | |
| about 9 years ago | 27 days ago | |
| OCaml | Java | |
| - | MIT License |
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austin-sbst
tcases
-
Does anybody know a simple algorithm for generating unit tests given a function's code?
Black-box test case generation software: * https://github.com/Cornutum/tcases
What are some alternatives?
algebra-driven-design - Source material for Algebra-Driven Design
EvoMaster - The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).
openapi4j - OpenAPI 3 parser, JSON schema and request validator.
methods2test - methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
FsCheck - Random Testing for .NET
pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
HoloDB - HoloDB is an RDBMS seemingly filled with random data. This data does not actually take up any space in memory or on a volume (to use an analogy, it is as if the data set is projected as a hologram from a simple configuration). The base layer is an arbitrarily large, read-only data set that is readable and searchable, and yet fully consistent. Any pieces of data and index lookups are calculated on-the-fly. An optional second layer is built on top of this, allowing read-write access (stores differences while maintains consistency and searchability). You can start an arbitrarily large database in moments, with minimal effort; all you need is a YAML configuration file or some JPA entites.