diff --git a/neuralnetworks/1.2/vts/functional/Android.bp b/neuralnetworks/1.2/vts/functional/Android.bp
index 891b414..6c26820 100644
--- a/neuralnetworks/1.2/vts/functional/Android.bp
+++ b/neuralnetworks/1.2/vts/functional/Android.bp
@@ -20,6 +20,7 @@
     defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
     srcs: [
         "GeneratedTestsV1_0.cpp",
+        "ValidateBurst.cpp",
     ],
     cflags: [
         "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"
@@ -32,6 +33,7 @@
     defaults: ["VtsHalNeuralNetworksTargetTestDefaults"],
     srcs: [
         "GeneratedTestsV1_1.cpp",
+        "ValidateBurst.cpp",
     ],
     cflags: [
         "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"
@@ -46,6 +48,7 @@
         "BasicTests.cpp",
         "CompilationCachingTests.cpp",
         "GeneratedTests.cpp",
+        "ValidateBurst.cpp",
     ],
     cflags: [
         "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE"
@@ -58,6 +61,7 @@
     srcs: [
         "BasicTests.cpp",
         "GeneratedTests.cpp",
+        "ValidateBurst.cpp",
     ],
     cflags: [
         "-DNN_TEST_DYNAMIC_OUTPUT_SHAPE",
diff --git a/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
new file mode 100644
index 0000000..386c141
--- /dev/null
+++ b/neuralnetworks/1.2/vts/functional/ValidateBurst.cpp
@@ -0,0 +1,333 @@
+/*
+ * Copyright (C) 2018 The Android Open Source Project
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#define LOG_TAG "neuralnetworks_hidl_hal_test"
+
+#include "VtsHalNeuralnetworks.h"
+
+#include "Callbacks.h"
+#include "ExecutionBurstController.h"
+#include "ExecutionBurstServer.h"
+#include "TestHarness.h"
+#include "Utils.h"
+
+#include <android-base/logging.h>
+
+namespace android {
+namespace hardware {
+namespace neuralnetworks {
+namespace V1_2 {
+namespace vts {
+namespace functional {
+
+using ::android::nn::ExecutionBurstController;
+using ::android::nn::RequestChannelSender;
+using ::android::nn::ResultChannelReceiver;
+using ExecutionBurstCallback = ::android::nn::ExecutionBurstController::ExecutionBurstCallback;
+
+constexpr size_t kExecutionBurstChannelLength = 1024;
+constexpr size_t kExecutionBurstChannelSmallLength = 8;
+
+///////////////////////// UTILITY FUNCTIONS /////////////////////////
+
+static bool badTiming(Timing timing) {
+    return timing.timeOnDevice == UINT64_MAX && timing.timeInDriver == UINT64_MAX;
+}
+
+static void createBurst(const sp<IPreparedModel>& preparedModel, const sp<IBurstCallback>& callback,
+                        std::unique_ptr<RequestChannelSender>* sender,
+                        std::unique_ptr<ResultChannelReceiver>* receiver,
+                        sp<IBurstContext>* context) {
+    ASSERT_NE(nullptr, preparedModel.get());
+    ASSERT_NE(nullptr, sender);
+    ASSERT_NE(nullptr, receiver);
+    ASSERT_NE(nullptr, context);
+
+    // create FMQ objects
+    auto [fmqRequestChannel, fmqRequestDescriptor] =
+            RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+    auto [fmqResultChannel, fmqResultDescriptor] =
+            ResultChannelReceiver::create(kExecutionBurstChannelLength, /*blocking=*/true);
+    ASSERT_NE(nullptr, fmqRequestChannel.get());
+    ASSERT_NE(nullptr, fmqResultChannel.get());
+    ASSERT_NE(nullptr, fmqRequestDescriptor);
+    ASSERT_NE(nullptr, fmqResultDescriptor);
+
+    // configure burst
+    ErrorStatus errorStatus;
+    sp<IBurstContext> burstContext;
+    const Return<void> ret = preparedModel->configureExecutionBurst(
+            callback, *fmqRequestDescriptor, *fmqResultDescriptor,
+            [&errorStatus, &burstContext](ErrorStatus status, const sp<IBurstContext>& context) {
+                errorStatus = status;
+                burstContext = context;
+            });
+    ASSERT_TRUE(ret.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, errorStatus);
+    ASSERT_NE(nullptr, burstContext.get());
+
+    // return values
+    *sender = std::move(fmqRequestChannel);
+    *receiver = std::move(fmqResultChannel);
+    *context = burstContext;
+}
+
+static void createBurstWithResultChannelLength(
+        const sp<IPreparedModel>& preparedModel,
+        std::shared_ptr<ExecutionBurstController>* controller, size_t resultChannelLength) {
+    ASSERT_NE(nullptr, preparedModel.get());
+    ASSERT_NE(nullptr, controller);
+
+    // create FMQ objects
+    auto [fmqRequestChannel, fmqRequestDescriptor] =
+            RequestChannelSender::create(kExecutionBurstChannelLength, /*blocking=*/true);
+    auto [fmqResultChannel, fmqResultDescriptor] =
+            ResultChannelReceiver::create(resultChannelLength, /*blocking=*/true);
+    ASSERT_NE(nullptr, fmqRequestChannel.get());
+    ASSERT_NE(nullptr, fmqResultChannel.get());
+    ASSERT_NE(nullptr, fmqRequestDescriptor);
+    ASSERT_NE(nullptr, fmqResultDescriptor);
+
+    // configure burst
+    sp<ExecutionBurstCallback> callback = new ExecutionBurstCallback();
+    ErrorStatus errorStatus;
+    sp<IBurstContext> burstContext;
+    const Return<void> ret = preparedModel->configureExecutionBurst(
+            callback, *fmqRequestDescriptor, *fmqResultDescriptor,
+            [&errorStatus, &burstContext](ErrorStatus status, const sp<IBurstContext>& context) {
+                errorStatus = status;
+                burstContext = context;
+            });
+    ASSERT_TRUE(ret.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, errorStatus);
+    ASSERT_NE(nullptr, burstContext.get());
+
+    // return values
+    *controller = std::make_shared<ExecutionBurstController>(
+            std::move(fmqRequestChannel), std::move(fmqResultChannel), burstContext, callback);
+}
+
+// Primary validation function. This function will take a valid serialized
+// request, apply a mutation to it to invalidate the serialized request, then
+// pass it to interface calls that use the serialized request. Note that the
+// serialized request here is passed by value, and any mutation to the
+// serialized request does not leave this function.
+static void validate(RequestChannelSender* sender, ResultChannelReceiver* receiver,
+                     const std::string& message, std::vector<FmqRequestDatum> serialized,
+                     const std::function<void(std::vector<FmqRequestDatum>*)>& mutation) {
+    mutation(&serialized);
+
+    // skip if packet is too large to send
+    if (serialized.size() > kExecutionBurstChannelLength) {
+        return;
+    }
+
+    SCOPED_TRACE(message);
+
+    // send invalid packet
+    sender->sendPacket(serialized);
+
+    // receive error
+    auto results = receiver->getBlocking();
+    ASSERT_TRUE(results.has_value());
+    const auto [status, outputShapes, timing] = std::move(*results);
+    EXPECT_NE(ErrorStatus::NONE, status);
+    EXPECT_EQ(0u, outputShapes.size());
+    EXPECT_TRUE(badTiming(timing));
+}
+
+static std::vector<FmqRequestDatum> createUniqueDatum() {
+    const FmqRequestDatum::PacketInformation packetInformation = {
+            /*.packetSize=*/10, /*.numberOfInputOperands=*/10, /*.numberOfOutputOperands=*/10,
+            /*.numberOfPools=*/10};
+    const FmqRequestDatum::OperandInformation operandInformation = {
+            /*.hasNoValue=*/false, /*.location=*/{}, /*.numberOfDimensions=*/10};
+    const int32_t invalidPoolIdentifier = std::numeric_limits<int32_t>::max();
+    std::vector<FmqRequestDatum> unique(7);
+    unique[0].packetInformation(packetInformation);
+    unique[1].inputOperandInformation(operandInformation);
+    unique[2].inputOperandDimensionValue(0);
+    unique[3].outputOperandInformation(operandInformation);
+    unique[4].outputOperandDimensionValue(0);
+    unique[5].poolIdentifier(invalidPoolIdentifier);
+    unique[6].measureTiming(MeasureTiming::YES);
+    return unique;
+}
+
+static const std::vector<FmqRequestDatum>& getUniqueDatum() {
+    static const std::vector<FmqRequestDatum> unique = createUniqueDatum();
+    return unique;
+}
+
+///////////////////////// REMOVE DATUM ////////////////////////////////////
+
+static void removeDatumTest(RequestChannelSender* sender, ResultChannelReceiver* receiver,
+                            const std::vector<FmqRequestDatum>& serialized) {
+    for (size_t index = 0; index < serialized.size(); ++index) {
+        const std::string message = "removeDatum: removed datum at index " + std::to_string(index);
+        validate(sender, receiver, message, serialized,
+                 [index](std::vector<FmqRequestDatum>* serialized) {
+                     serialized->erase(serialized->begin() + index);
+                 });
+    }
+}
+
+///////////////////////// ADD DATUM ////////////////////////////////////
+
+static void addDatumTest(RequestChannelSender* sender, ResultChannelReceiver* receiver,
+                         const std::vector<FmqRequestDatum>& serialized) {
+    const std::vector<FmqRequestDatum>& extra = getUniqueDatum();
+    for (size_t index = 0; index <= serialized.size(); ++index) {
+        for (size_t type = 0; type < extra.size(); ++type) {
+            const std::string message = "addDatum: added datum type " + std::to_string(type) +
+                                        " at index " + std::to_string(index);
+            validate(sender, receiver, message, serialized,
+                     [index, type, &extra](std::vector<FmqRequestDatum>* serialized) {
+                         serialized->insert(serialized->begin() + index, extra[type]);
+                     });
+        }
+    }
+}
+
+///////////////////////// MUTATE DATUM ////////////////////////////////////
+
+static bool interestingCase(const FmqRequestDatum& lhs, const FmqRequestDatum& rhs) {
+    using Discriminator = FmqRequestDatum::hidl_discriminator;
+
+    const bool differentValues = (lhs != rhs);
+    const bool sameSumType = (lhs.getDiscriminator() == rhs.getDiscriminator());
+    const auto discriminator = rhs.getDiscriminator();
+    const bool isDimensionValue = (discriminator == Discriminator::inputOperandDimensionValue ||
+                                   discriminator == Discriminator::outputOperandDimensionValue);
+
+    return differentValues && !(sameSumType && isDimensionValue);
+}
+
+static void mutateDatumTest(RequestChannelSender* sender, ResultChannelReceiver* receiver,
+                            const std::vector<FmqRequestDatum>& serialized) {
+    const std::vector<FmqRequestDatum>& change = getUniqueDatum();
+    for (size_t index = 0; index < serialized.size(); ++index) {
+        for (size_t type = 0; type < change.size(); ++type) {
+            if (interestingCase(serialized[index], change[type])) {
+                const std::string message = "mutateDatum: changed datum at index " +
+                                            std::to_string(index) + " to datum type " +
+                                            std::to_string(type);
+                validate(sender, receiver, message, serialized,
+                         [index, type, &change](std::vector<FmqRequestDatum>* serialized) {
+                             (*serialized)[index] = change[type];
+                         });
+            }
+        }
+    }
+}
+
+///////////////////////// BURST VALIATION TESTS ////////////////////////////////////
+
+static void validateBurstSerialization(const sp<IPreparedModel>& preparedModel,
+                                       const std::vector<Request>& requests) {
+    // create burst
+    std::unique_ptr<RequestChannelSender> sender;
+    std::unique_ptr<ResultChannelReceiver> receiver;
+    sp<ExecutionBurstCallback> callback = new ExecutionBurstCallback();
+    sp<IBurstContext> context;
+    ASSERT_NO_FATAL_FAILURE(createBurst(preparedModel, callback, &sender, &receiver, &context));
+    ASSERT_NE(nullptr, sender.get());
+    ASSERT_NE(nullptr, receiver.get());
+    ASSERT_NE(nullptr, context.get());
+
+    // validate each request
+    for (const Request& request : requests) {
+        // load memory into callback slots
+        std::vector<intptr_t> keys(request.pools.size());
+        for (size_t i = 0; i < keys.size(); ++i) {
+            keys[i] = reinterpret_cast<intptr_t>(&request.pools[i]);
+        }
+        const std::vector<int32_t> slots = callback->getSlots(request.pools, keys);
+
+        // ensure slot std::numeric_limits<int32_t>::max() doesn't exist (for
+        // subsequent slot validation testing)
+        const auto maxElement = std::max_element(slots.begin(), slots.end());
+        ASSERT_NE(slots.end(), maxElement);
+        ASSERT_NE(std::numeric_limits<int32_t>::max(), *maxElement);
+
+        // serialize the request
+        const auto serialized = ::android::nn::serialize(request, MeasureTiming::YES, slots);
+
+        // validations
+        removeDatumTest(sender.get(), receiver.get(), serialized);
+        addDatumTest(sender.get(), receiver.get(), serialized);
+        mutateDatumTest(sender.get(), receiver.get(), serialized);
+    }
+}
+
+static void validateBurstFmqLength(const sp<IPreparedModel>& preparedModel,
+                                   const std::vector<Request>& requests) {
+    // create regular burst
+    std::shared_ptr<ExecutionBurstController> controllerRegular;
+    ASSERT_NO_FATAL_FAILURE(createBurstWithResultChannelLength(preparedModel, &controllerRegular,
+                                                               kExecutionBurstChannelLength));
+    ASSERT_NE(nullptr, controllerRegular.get());
+
+    // create burst with small output channel
+    std::shared_ptr<ExecutionBurstController> controllerSmall;
+    ASSERT_NO_FATAL_FAILURE(createBurstWithResultChannelLength(preparedModel, &controllerSmall,
+                                                               kExecutionBurstChannelSmallLength));
+    ASSERT_NE(nullptr, controllerSmall.get());
+
+    // validate each request
+    for (const Request& request : requests) {
+        // load memory into callback slots
+        std::vector<intptr_t> keys(request.pools.size());
+        for (size_t i = 0; i < keys.size(); ++i) {
+            keys[i] = reinterpret_cast<intptr_t>(&request.pools[i]);
+        }
+
+        // collect serialized result by running regular burst
+        const auto [status1, outputShapes1, timing1] =
+                controllerRegular->compute(request, MeasureTiming::NO, keys);
+
+        // skip test if synchronous output isn't useful
+        const std::vector<FmqResultDatum> serialized =
+                ::android::nn::serialize(status1, outputShapes1, timing1);
+        if (status1 != ErrorStatus::NONE ||
+            serialized.size() <= kExecutionBurstChannelSmallLength) {
+            continue;
+        }
+
+        // by this point, execution should fail because the result channel isn't
+        // large enough to return the serialized result
+        const auto [status2, outputShapes2, timing2] =
+                controllerSmall->compute(request, MeasureTiming::NO, keys);
+        EXPECT_NE(ErrorStatus::NONE, status2);
+        EXPECT_EQ(0u, outputShapes2.size());
+        EXPECT_TRUE(badTiming(timing2));
+    }
+}
+
+///////////////////////////// ENTRY POINT //////////////////////////////////
+
+void ValidationTest::validateBurst(const sp<IPreparedModel>& preparedModel,
+                                   const std::vector<Request>& requests) {
+    ASSERT_NO_FATAL_FAILURE(validateBurstSerialization(preparedModel, requests));
+    ASSERT_NO_FATAL_FAILURE(validateBurstFmqLength(preparedModel, requests));
+}
+
+}  // namespace functional
+}  // namespace vts
+}  // namespace V1_2
+}  // namespace neuralnetworks
+}  // namespace hardware
+}  // namespace android
diff --git a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
index 870d017..9703c2d 100644
--- a/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
+++ b/neuralnetworks/1.2/vts/functional/ValidateRequest.cpp
@@ -35,9 +35,7 @@
 namespace functional {
 
 using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
-using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
 using ::android::hidl::memory::V1_0::IMemory;
-using HidlToken = hidl_array<uint8_t, static_cast<uint32_t>(Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
 using test_helper::for_all;
 using test_helper::MixedTyped;
 using test_helper::MixedTypedExample;
@@ -48,55 +46,6 @@
     return timing.timeOnDevice == UINT64_MAX && timing.timeInDriver == UINT64_MAX;
 }
 
-static void createPreparedModel(const sp<IDevice>& device, const Model& model,
-                                sp<IPreparedModel>* preparedModel) {
-    ASSERT_NE(nullptr, preparedModel);
-
-    // see if service can handle model
-    bool fullySupportsModel = false;
-    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_2(
-        model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
-            ASSERT_EQ(ErrorStatus::NONE, status);
-            ASSERT_NE(0ul, supported.size());
-            fullySupportsModel =
-                std::all_of(supported.begin(), supported.end(), [](bool valid) { return valid; });
-        });
-    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
-
-    // launch prepare model
-    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
-    ASSERT_NE(nullptr, preparedModelCallback.get());
-    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_2(
-            model, ExecutionPreference::FAST_SINGLE_ANSWER, hidl_vec<hidl_handle>(),
-            hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
-    ASSERT_TRUE(prepareLaunchStatus.isOk());
-    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
-
-    // retrieve prepared model
-    preparedModelCallback->wait();
-    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
-    *preparedModel = getPreparedModel_1_2(preparedModelCallback);
-
-    // The getSupportedOperations_1_2 call returns a list of operations that are
-    // guaranteed not to fail if prepareModel_1_2 is called, and
-    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
-    // If a driver has any doubt that it can prepare an operation, it must
-    // return false. So here, if a driver isn't sure if it can support an
-    // operation, but reports that it successfully prepared the model, the test
-    // can continue.
-    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
-        ASSERT_EQ(nullptr, preparedModel->get());
-        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
-                     "prepare model that it does not support.";
-        std::cout << "[          ]   Unable to test Request validation because vendor service "
-                     "cannot prepare model that it does not support."
-                  << std::endl;
-        return;
-    }
-    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
-    ASSERT_NE(nullptr, preparedModel->get());
-}
-
 // Primary validation function. This function will take a valid request, apply a
 // mutation to it to invalidate the request, then pass it to interface calls
 // that use the request. Note that the request here is passed by value, and any
@@ -316,14 +265,8 @@
     return requests;
 }
 
-void ValidationTest::validateRequests(const Model& model, const std::vector<Request>& requests) {
-    // create IPreparedModel
-    sp<IPreparedModel> preparedModel;
-    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
-    if (preparedModel == nullptr) {
-        return;
-    }
-
+void ValidationTest::validateRequests(const sp<IPreparedModel>& preparedModel,
+                                      const std::vector<Request>& requests) {
     // validate each request
     for (const Request& request : requests) {
         removeInputTest(preparedModel, request);
diff --git a/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp
index 4728c28..93182f1 100644
--- a/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp
+++ b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.cpp
@@ -18,6 +18,10 @@
 
 #include "VtsHalNeuralnetworks.h"
 
+#include <android-base/logging.h>
+
+#include "Callbacks.h"
+
 namespace android {
 namespace hardware {
 namespace neuralnetworks {
@@ -25,6 +29,61 @@
 namespace vts {
 namespace functional {
 
+using ::android::hardware::neuralnetworks::V1_2::implementation::ExecutionCallback;
+using ::android::hardware::neuralnetworks::V1_2::implementation::PreparedModelCallback;
+using HidlToken = hidl_array<uint8_t, static_cast<uint32_t>(Constant::BYTE_SIZE_OF_CACHE_TOKEN)>;
+using V1_1::ExecutionPreference;
+
+// internal helper function
+static void createPreparedModel(const sp<IDevice>& device, const Model& model,
+                                sp<IPreparedModel>* preparedModel) {
+    ASSERT_NE(nullptr, preparedModel);
+
+    // see if service can handle model
+    bool fullySupportsModel = false;
+    Return<void> supportedOpsLaunchStatus = device->getSupportedOperations_1_2(
+            model, [&fullySupportsModel](ErrorStatus status, const hidl_vec<bool>& supported) {
+                ASSERT_EQ(ErrorStatus::NONE, status);
+                ASSERT_NE(0ul, supported.size());
+                fullySupportsModel = std::all_of(supported.begin(), supported.end(),
+                                                 [](bool valid) { return valid; });
+            });
+    ASSERT_TRUE(supportedOpsLaunchStatus.isOk());
+
+    // launch prepare model
+    sp<PreparedModelCallback> preparedModelCallback = new PreparedModelCallback();
+    ASSERT_NE(nullptr, preparedModelCallback.get());
+    Return<ErrorStatus> prepareLaunchStatus = device->prepareModel_1_2(
+            model, ExecutionPreference::FAST_SINGLE_ANSWER, hidl_vec<hidl_handle>(),
+            hidl_vec<hidl_handle>(), HidlToken(), preparedModelCallback);
+    ASSERT_TRUE(prepareLaunchStatus.isOk());
+    ASSERT_EQ(ErrorStatus::NONE, static_cast<ErrorStatus>(prepareLaunchStatus));
+
+    // retrieve prepared model
+    preparedModelCallback->wait();
+    ErrorStatus prepareReturnStatus = preparedModelCallback->getStatus();
+    *preparedModel = getPreparedModel_1_2(preparedModelCallback);
+
+    // The getSupportedOperations_1_2 call returns a list of operations that are
+    // guaranteed not to fail if prepareModel_1_2 is called, and
+    // 'fullySupportsModel' is true i.f.f. the entire model is guaranteed.
+    // If a driver has any doubt that it can prepare an operation, it must
+    // return false. So here, if a driver isn't sure if it can support an
+    // operation, but reports that it successfully prepared the model, the test
+    // can continue.
+    if (!fullySupportsModel && prepareReturnStatus != ErrorStatus::NONE) {
+        ASSERT_EQ(nullptr, preparedModel->get());
+        LOG(INFO) << "NN VTS: Unable to test Request validation because vendor service cannot "
+                     "prepare model that it does not support.";
+        std::cout << "[          ]   Unable to test Request validation because vendor service "
+                     "cannot prepare model that it does not support."
+                  << std::endl;
+        return;
+    }
+    ASSERT_EQ(ErrorStatus::NONE, prepareReturnStatus);
+    ASSERT_NE(nullptr, preparedModel->get());
+}
+
 // A class for test environment setup
 NeuralnetworksHidlEnvironment::NeuralnetworksHidlEnvironment() {}
 
@@ -68,6 +127,20 @@
     ::testing::VtsHalHidlTargetTestBase::TearDown();
 }
 
+void ValidationTest::validateEverything(const Model& model, const std::vector<Request>& request) {
+    validateModel(model);
+
+    // create IPreparedModel
+    sp<IPreparedModel> preparedModel;
+    ASSERT_NO_FATAL_FAILURE(createPreparedModel(device, model, &preparedModel));
+    if (preparedModel == nullptr) {
+        return;
+    }
+
+    validateRequests(preparedModel, request);
+    validateBurst(preparedModel, request);
+}
+
 sp<IPreparedModel> getPreparedModel_1_2(
     const sp<V1_2::implementation::PreparedModelCallback>& callback) {
     sp<V1_0::IPreparedModel> preparedModelV1_0 = callback->getPreparedModel();
diff --git a/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h
index 404eec0..36e73a4 100644
--- a/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h
+++ b/neuralnetworks/1.2/vts/functional/VtsHalNeuralnetworks.h
@@ -72,8 +72,14 @@
 // Tag for the validation tests
 class ValidationTest : public NeuralnetworksHidlTest {
    protected:
-    void validateModel(const Model& model);
-    void validateRequests(const Model& model, const std::vector<Request>& request);
+     void validateEverything(const Model& model, const std::vector<Request>& request);
+
+   private:
+     void validateModel(const Model& model);
+     void validateRequests(const sp<IPreparedModel>& preparedModel,
+                           const std::vector<Request>& requests);
+     void validateBurst(const sp<IPreparedModel>& preparedModel,
+                        const std::vector<Request>& requests);
 };
 
 // Tag for the generated tests