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SonarQube (formerly Sonar) [3] is an open-source platform developed by SonarSource for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs and code smells on 29 programming languages.
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
A code searching tool with an emphasis on finding software bugs. Search patterns are written in a query language which can search the AST and graphs (CFG, DFG, etc.) of supported languages. A plugin is available for Visual Studio. ConQAT (retired) 2015-02-01 Yes; ASL 2: Ada C#, C++ Java JavaScript — — ABAP
Automatic bug fixing is made according to a specification of the expected behavior which can be for instance a formal specification or a test suite. [5]A test-suite – the input/output pairs specify the functionality of the program, possibly captured in assertions can be used as a test oracle to drive the search.
to detect race conditions and deadlocks (ThreadSanitizer), to detect undefined behavior (UndefinedBehaviorSanitizer), to detect memory leaks (LeakSanitizer), or; to check control-flow integrity (CFISanitizer). Fuzzing can also be used to detect "differential" bugs if a reference implementation is available.
Differential testing, [1] also known as differential fuzzing, is a software testing technique that detect bugs, by providing the same input to a series of similar applications (or to different implementations of the same application), and observing differences in their execution.
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Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.
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