feats: extend ValuePool by new fields : files, and maxMutations

docs/mutation-framework.md

@@ -317,6 +317,169 @@ class SimpleClassFuzzTests {
 }
 ```
 
+## @ValuePool: Guide fuzzing with custom values
+
+The `@ValuePool` annotation lets you provide concrete example values of any [supported type](#supported-types) (except for cache-based mutators) that Jazzer's mutators will use when generating test inputs.
+This helps guide fuzzing toward realistic or edge-case values relevant to your application.
+
+### Basic Usage
+
+You can apply `@ValuePool` in two places:
+- **On method parameter (sub-)types** - values apply only to the annotated types
+- **On the test method itself** - values propagate to all matching types across all parameters
+
+**Example:**
+```java
+@FuzzTest
+void fuzzTest(Map<@ValuePool(value = {"mySupplier"}) String, Integer> foo) {
+  // Strings from mySupplier feed the Map's String mutator
+}
+
+@FuzzTest
+void anotherFuzzTest(@ValuePool(value = {"mySupplier"}) Map<String, Integer> foo) {
+    // Strings from mySupplier feed the Map's String mutator
+    // Integers from mySupplier feed the Map's Integer mutator
+}
+
+@FuzzTest
+@ValuePool(value = {"mySupplier"})
+void yetAnotherFuzzTest(Map<String, Integer> foo, String bar) {
+    // Values propagate to ALL matching types:
+    // - String mutator for Map keys in 'foo'
+    // - String mutator for 'bar' 
+    // - Integer mutator for Map values in 'foo'
+}
+
+static Stream mySupplier() {
+    return Stream.of("example1", "example2", "example3", 1232187321, -182371);
+}
+```
+
+### How Type Matching Works
+
+Jazzer automatically routes values to mutators based on type:
+- Strings in your value pool → String mutators
+- Integers in your value pool → Integer mutators
+- Byte arrays in your value pool → byte[] mutators
+
+**Type propagation happens recursively by default**, so a `@ValuePool` on a `Map<String, Integer>` will feed both the String mutator (for keys) and Integer mutator (for values).
+
+---
+
+### Supplying Values: Two Mechanisms
+
+#### 1. Supplier Methods (`value` field)
+
+Provide the names of static methods that return `Stream<?>`:
+```java
+@ValuePool(value = {"mySupplier", "anotherSupplier"})
+```
+
+**Requirements:**
+- Methods must be `static`
+- Must return `Stream<?>` 
+- Can contain mixed types (Jazzer routes by type automatically)
+
+#### 2. File Patterns (`files` field)
+
+Load files as `byte[]` arrays using glob patterns:
+```java
+@ValuePool(files = {"*.jpeg"})              // All JPEGs in working dir
+@ValuePool(files = {"**.xml"})              // All XMLs recursively
+@ValuePool(files = {"/absolute/path/**"})   // All files from absolute path
+@ValuePool(files = {"*.jpg", "**.png"})     // Multiple patterns
+```
+
+**Glob syntax:** Follows `java.nio.file.PathMatcher` with `glob:` pattern rules.
+
+**You can combine both mechanisms:**
+```java
+@ValuePool(value = {"mySupplier"}, files = {"test-data/*.json"})
+```
+
+---
+
+### Configuration Options
+
+#### Mutation Probability (`p` field)
+Controls how often values from the pool are used versus other mutation strategies.
+```java
+@ValuePool(value = {"mySupplier"}, p = 0.3)  // Use pool values 30% of the time
+```
+
+**Default:** `p = 0.1` (10% of mutations use pool values)
+**Range:** 0.0 to 1.0
+
+#### Type Propagation (`constraint` field)
+
+Controls whether the annotation affects nested types:
+```java
+// Default: RECURSIVE - applies to all nested types
+@ValuePool(value = {"mySupplier"}, constraint = Constraint.RECURSIVE)
+
+// DECLARATION - applies only to the annotated type, not subtypes
+@ValuePool(value = {"mySupplier"}, constraint = Constraint.DECLARATION)
+```
+
+**Example of the difference:**
+```java
+// With RECURSIVE (default):
+@ValuePool(value = {"valuesSupplier"}) Map<String, Integer> data
+// The supplier feed both Map keys AND values
+
+// With DECLARATION:
+@ValuePool(value = {"valuesSupplier"}, constraint = DECLARATION) Map<String, Integer> data
+// The supplier only feeds the Map, NOT keys or values---it should contain Map instances to have effect
+```
+
+---
+
+### Complete Example
+```java
+class MyFuzzTest {
+    static Stream edgeCases() {
+        return Stream.of(
+            "", "null", "alert('xss')",  // Strings
+            0, -1, Integer.MAX_VALUE,    // Integers
+            new byte[]{0x00, 0xFF},      // A byte array
+            Map.of("Test", 42)           // A Map
+        );
+    }
+
+    @FuzzTest
+    @ValuePool(
+        value = {"edgeCases"},
+        files = {"test-inputs/*.bin"},
+        p = 0.25  // Use pool values 25% of the time
+    )
+    void testParser(String input, Map<String, Integer> config, byte[] data) {
+        // All three parameters get values from the pool:
+        // - 'input' gets Strings
+        // - 'config' keys get Strings, values get Integers, Map itself gets the Map instance
+        // - 'data' gets bytes from both edgeCases() and *.bin files
+    }
+}
+```
+
+---
+
+#### Max Mutations (`maxMutations` field)
+
+After selecting a value from the pool, the mutator can apply additional random mutations to it.
+```java
+@ValuePool(value = {"mySupplier"}, maxMutations = 5)
+```
+
+**Default:** `maxMutations = 1` (at most one additional mutation applied)
+**Range:** 0 or higher
+
+**How it works:** If `maxMutations = 5`, and Jazzer selects the value pool as mutation strategy, Jazzer will:
+1. Select a random value from your pool (e.g., `"alert('xss')"`)
+2. Apply up to 5 random mutations in a row (e.g., `"alert('xss')"` → `"alert(x"` → `"AAAt(x"` → ...)
+
+This helps explore variations of your seed values while staying close to realistic inputs.
+
+
 ## FuzzedDataProvider
 
 The `FuzzedDataProvider` is an alternative approach commonly used in programming

selffuzz/src/test/java/com/code_intelligence/selffuzz/mutation/BUILD.bazel

@@ -2,6 +2,7 @@ load("//bazel:fuzz_target.bzl", "java_fuzz_target_test")
 
 java_fuzz_target_test(
     name = "ArgumentsMutatorFuzzTest",
+    timeout = "long",
     srcs = [
         "ArgumentsMutatorFuzzTest.java",
         "BeanWithParent.java",

src/main/java/com/code_intelligence/jazzer/junit/FuzzTestExecutor.java

@@ -178,6 +178,8 @@ private static Path addInputAndSeedDirs(
         Paths.get(context.getConfigurationParameter("jazzer.internal.basedir").orElse(""))
             .toAbsolutePath();
 
+    System.setProperty("jazzer.internal.basedir", baseDir.toString());
+
     // Use the specified corpus dir, if given, otherwise store the generated corpus in a per-class
     // directory under the project root.
     // The path is specified relative to the current working directory, which with JUnit is the

src/main/java/com/code_intelligence/jazzer/mutation/ArgumentsMutator.java

@@ -43,13 +43,17 @@
 import java.lang.reflect.AnnotatedType;
 import java.lang.reflect.InvocationTargetException;
 import java.lang.reflect.Method;
+import java.util.Map;
 import java.util.Optional;
+import java.util.concurrent.ConcurrentHashMap;
 
 public final class ArgumentsMutator {
   private final ExtendedMutatorFactory mutatorFactory;
   private final Method method;
   private final InPlaceProductMutator productMutator;
 
+  private static final Map<Method, ArgumentsMutator> mutatorsCache = new ConcurrentHashMap<>();
+
   private Object[] arguments;
 
   /**
@@ -78,15 +82,14 @@ private static String prettyPrintMethod(Method method) {
   }
 
   public static ArgumentsMutator forMethodOrThrow(Method method) {
-    return forMethod(Mutators.newFactory(new ValuePoolRegistry(method)), method)
-        .orElseThrow(
-            () ->
-                new IllegalArgumentException(
-                    "Failed to construct mutator for " + prettyPrintMethod(method)));
-  }
-
-  public static Optional<ArgumentsMutator> forMethod(Method method) {
-    return forMethod(Mutators.newFactory(new ValuePoolRegistry(method)), method);
+    return mutatorsCache.computeIfAbsent(
+        method,
+        m ->
+            forMethod(Mutators.newFactory(new ValuePoolRegistry(m)), m)
+                .orElseThrow(
+                    () ->
+                        new IllegalArgumentException(
+                            "Failed to construct mutator for " + prettyPrintMethod(m))));
   }
 
   public static Optional<ArgumentsMutator> forMethod(

src/main/java/com/code_intelligence/jazzer/mutation/annotation/ValuePool.java

@@ -27,7 +27,7 @@
 import java.lang.annotation.Target;
 
 /**
- * Provides values to user-selected mutator types to start fuzzing from.
+ * Provides values to user-selected types that will be used during mutation.
  *
  * <p>This annotation can be applied to fuzz test methods and any parameter type or subtype. By
  * default, this annotation is propagated to all nested subtypes unless specified otherwise via the
@@ -72,17 +72,44 @@
    * don't need to match the type of the annotated method or parameter. The mutation framework will
    * extract only the values that are compatible with the target type.
    */
-  String[] value();
+  String[] value() default {};
+
+  /**
+   * Specifies glob patterns matching files that should be provided as {@code byte []} to the
+   * annotated type. The syntax follows closely to Java's {@link
+   * java.nio.file.FileSystem#getPathMatcher(String) PathMatcher} "glob:" syntax.
+   *
+   * <p>Relative glob patterns are resolved against the working directory.
+   *
+   * <p>Examples:
+   *
+   * <ul>
+   *   <li>{@code *.jpeg} - matches all jpegs in the working directory
+   *   <li>{@code **.xml} - matches all xml files recursively
+   *   <li>{@code src/test/resources/dict/*.txt} - matches txt files in a specific directory
+   *   <li>{@code /absolute/path/to/some/directory/**} - matches all files in an absolute path
+   *       recursively
+   *   <li>{@code {"*.jpg", "**.png"}} - matches all jpg in the working directory, and png files
+   *       recursively
+   * </ul>
+   */
+  String[] files() default {};
 
   /**
    * This {@code ValuePool} will be used with probability {@code p} by the mutator responsible for
    * fitting types.
    */
   double p() default 0.1;
 
+  /**
+   * If the mutator selects a value from this {@code ValuePool}, it will perform up to {@code
+   * maxMutations} additional mutations on the selected value.
+   */
+  int maxMutations() default 1;
+
   /**
    * Defines the scope of the annotation. Possible values are defined in {@link
-   * com.code_intelligence.jazzer.mutation.utils.PropertyConstraint}. By default it's {@code
+   * com.code_intelligence.jazzer.mutation.utils.PropertyConstraint}. By default, it's {@code
    * RECURSIVE}.
    */
   String constraint() default RECURSIVE;

src/main/java/com/code_intelligence/jazzer/mutation/mutator/lang/ValuePoolMutatorFactory.java

@@ -41,7 +41,6 @@
 import java.util.Optional;
 import java.util.function.Predicate;
 import java.util.stream.Collectors;
-import java.util.stream.Stream;
 
 public class ValuePoolMutatorFactory implements MutatorFactory {
   /** Types annotated with this marker wil not be re-wrapped by this factory. */
@@ -75,12 +74,17 @@ private static final class ValuePoolMutator<T> extends SerializingMutator<T> {
     private final SerializingMutator<T> mutator;
     private final List<T> userValues;
     private final double poolUsageProbability;
+    private final int maxMutations;
 
     ValuePoolMutator(
-        SerializingMutator<T> mutator, List<T> userValues, double poolUsageProbability) {
+        SerializingMutator<T> mutator,
+        List<T> userValues,
+        double poolUsageProbability,
+        int maxMutations) {
       this.mutator = mutator;
       this.userValues = userValues;
       this.poolUsageProbability = poolUsageProbability;
+      this.maxMutations = maxMutations;
     }
 
     @SuppressWarnings("unchecked")
@@ -91,14 +95,9 @@ static <T> SerializingMutator<T> wrapIfValuesExist(
         return mutator;
       }
 
-      Optional<Stream<?>> rawUserValues = valuePoolRegistry.extractRawValues(type);
-      if (!rawUserValues.isPresent()) {
-        return mutator;
-      }
-
       List<T> userValues =
-          rawUserValues
-              .get()
+          valuePoolRegistry
+              .extractUserValues(type)
               // Values whose round trip serialization is not stable violate either some user
               // annotations on the type (e.g. @InRange), or the default mutator limits (e.g.
               // default List size limits) and are therefore not suitable for inclusion in the value
@@ -112,7 +111,8 @@ static <T> SerializingMutator<T> wrapIfValuesExist(
       }
 
       double p = valuePoolRegistry.extractFirstProbability(type);
-      return new ValuePoolMutator<>(mutator, userValues, p);
+      int maxMutations = valuePoolRegistry.extractFirstMaxMutations(type);
+      return new ValuePoolMutator<>(mutator, userValues, p, maxMutations);
     }
 
     /**
@@ -144,8 +144,8 @@ private static <T> boolean isSerializationStable(SerializingMutator<T> mutator,
     @Override
     public String toDebugString(Predicate<Debuggable> isInCycle) {
       return String.format(
-          "%s (values: %d p: %.2f)",
-          mutator.toDebugString(isInCycle), userValues.size(), poolUsageProbability);
+          "%s (values: %d p: %.2f, maxMutations: %d)",
+          mutator.toDebugString(isInCycle), userValues.size(), poolUsageProbability, maxMutations);
     }
 
     @Override
@@ -180,19 +180,30 @@ public T init(PseudoRandom prng) {
     @Override
     public T mutate(T value, PseudoRandom prng) {
       if (prng.closedRange(0.0, 1.0) < poolUsageProbability) {
-        if (prng.choice()) {
-          return prng.pickIn(userValues);
-        } else {
-          // treat the value from valuePool as a starting point for mutation
-          return mutator.mutate(prng.pickIn(userValues), prng);
+        value = prng.pickIn(userValues);
+        // Treat the user value as a starting point for mutation
+        int mutations = prng.closedRange(0, maxMutations);
+        for (int i = 0; i < mutations; i++) {
+          value = mutator.mutate(value, prng);
         }
+        return value;
       }
       return mutator.mutate(value, prng);
     }
 
     @Override
     public T crossOver(T value, T otherValue, PseudoRandom prng) {
-      return mutator.crossOver(value, otherValue, prng);
+      if (prng.closedRange(0.0, 1.0) < poolUsageProbability) {
+        value = prng.pickIn(userValues);
+        // Treat the user value as a starting point for crossOver
+        int mutations = prng.closedRange(0, maxMutations);
+        for (int i = 0; i < mutations; i++) {
+          value = mutator.crossOver(value, prng.pickIn(userValues), prng);
+        }
+        return value;
+      } else {
+        return mutator.crossOver(value, otherValue, prng);
+      }
     }
   }
 }