World Congress 2023 Sep 27, 2023

Mutation Testing and Fuzzing in C#

Michael Contento

Standard code coverage is a deceptive numbers game. Expose weak unit tests by intentionally injecting mutations into your C# code. Discover how fuzzing builds truly resilient applications.

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#1 about 5 min

Analyzing different code coverage metrics and limitations

Traditional code coverage metrics often fail to guarantee that software test suites actually verify logical correctness.

#2 about 4 min

Evaluating test suite quality using mutation testing

Introducing artificial bugs into application source code reveals hidden gaps in unit test assertions.

#3 about 5 min

Automating application mutation testing with the Stryker tool

The Stryker CLI automatically generates code mutations and provides actionable HTML reports on surviving bugs.

#4 about 4 min

Strategies for generating variations of application code

Tools alter arithmetic operators, logical conditions, and LINQ expressions to ensure tests catch inverted logic.

#5 about 4 min

Sending malformed inputs to applications using fuzzing

Fuzz testing relies on feeding repeatedly mutated or randomized data inputs to expose unexpected application crashes.

#6 about 2 min

Tracking execution paths with coverage-guided fuzzing

Application instrumentation tracks code execution depth to intelligently generate new inputs that reach unverified paths.

#7 about 4 min

Implementing American Fuzzy Lop for C# applications

The SharpFuzz library bridges C# code with the AFL tool to create explicit entry points for continuous edge-case discovery.

#8 about 4 min

Integrating mutation testing and fuzzing into software workflows

Running comprehensive mutation tests and fuzzers impacts feedback cycles and often requires specific integration strategies in continuous delivery pipelines.

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