diff --git a/pkg/analyzer/hpaAnalyzer_test.go b/pkg/analyzer/hpaAnalyzer_test.go
new file mode 100644
index 0000000..cbe0a1a
--- /dev/null
+++ b/pkg/analyzer/hpaAnalyzer_test.go
@@ -0,0 +1,205 @@
+package analyzer
+
+import (
+	"context"
+	"strings"
+	"testing"
+
+	"github.com/k8sgpt-ai/k8sgpt/pkg/kubernetes"
+	"github.com/magiconair/properties/assert"
+	appsv1 "k8s.io/api/apps/v1"
+	autoscalingv1 "k8s.io/api/autoscaling/v1"
+	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
+	"k8s.io/client-go/kubernetes/fake"
+)
+
+func TestHPAAnalyzer(t *testing.T) {
+	clientset := fake.NewSimpleClientset(
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+		})
+	hpaAnalyzer := HpaAnalyzer{}
+	config := Analyzer{
+		Client: &kubernetes.Client{
+			Client: clientset,
+		},
+		Context:   context.Background(),
+		Namespace: "default",
+	}
+	analysisResults, err := hpaAnalyzer.Analyze(config)
+	if err != nil {
+		t.Error(err)
+	}
+	assert.Equal(t, len(analysisResults), 1)
+}
+
+func TestHPAAnalyzerWithMultipleHPA(t *testing.T) {
+	clientset := fake.NewSimpleClientset(
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+		},
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example-2",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+		},
+	)
+	hpaAnalyzer := HpaAnalyzer{}
+	config := Analyzer{
+		Client: &kubernetes.Client{
+			Client: clientset,
+		},
+		Context:   context.Background(),
+		Namespace: "default",
+	}
+	analysisResults, err := hpaAnalyzer.Analyze(config)
+	if err != nil {
+		t.Error(err)
+	}
+	assert.Equal(t, len(analysisResults), 2)
+}
+
+func TestHPAAnalyzerWithUnsuportedScaleTargetRef(t *testing.T) {
+
+	clientset := fake.NewSimpleClientset(
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+			Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
+				ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
+					Kind: "unsupported",
+				},
+			},
+		})
+	hpaAnalyzer := HpaAnalyzer{}
+
+	config := Analyzer{
+		Client: &kubernetes.Client{
+			Client: clientset,
+		},
+		Context:   context.Background(),
+		Namespace: "default",
+	}
+	analysisResults, err := hpaAnalyzer.Analyze(config)
+	if err != nil {
+		t.Error(err)
+	}
+
+	var errorFound bool
+	for _, analysis := range analysisResults {
+		for _, err := range analysis.Error {
+			if strings.Contains(err, "does not possible option.") {
+				errorFound = true
+				break
+			}
+		}
+		if errorFound {
+			break
+		}
+	}
+	if !errorFound {
+		t.Error("expected error 'does not possible option.' not found in analysis results")
+	}
+}
+
+func TestHPAAnalyzerWithNonExistentScaleTargetRef(t *testing.T) {
+
+	clientset := fake.NewSimpleClientset(
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+			Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
+				ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
+					Kind: "Deployment",
+					Name: "non-existent",
+				},
+			},
+		})
+	hpaAnalyzer := HpaAnalyzer{}
+
+	config := Analyzer{
+		Client: &kubernetes.Client{
+			Client: clientset,
+		},
+		Context:   context.Background(),
+		Namespace: "default",
+	}
+	analysisResults, err := hpaAnalyzer.Analyze(config)
+	if err != nil {
+		t.Error(err)
+	}
+
+	var errorFound bool
+	for _, analysis := range analysisResults {
+		for _, err := range analysis.Error {
+			if strings.Contains(err, "does not exist.") {
+				errorFound = true
+				break
+			}
+		}
+		if errorFound {
+			break
+		}
+	}
+	if !errorFound {
+		t.Error("expected error 'does not exist.' not found in analysis results")
+	}
+}
+
+func TestHPAAnalyzerWithExistingScaleTargetRef(t *testing.T) {
+
+	clientset := fake.NewSimpleClientset(
+		&autoscalingv1.HorizontalPodAutoscaler{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+			Spec: autoscalingv1.HorizontalPodAutoscalerSpec{
+				ScaleTargetRef: autoscalingv1.CrossVersionObjectReference{
+					Kind: "Deployment",
+					Name: "example",
+				},
+			},
+		},
+		&appsv1.Deployment{
+			ObjectMeta: metav1.ObjectMeta{
+				Name:        "example",
+				Namespace:   "default",
+				Annotations: map[string]string{},
+			},
+		},
+	)
+	hpaAnalyzer := HpaAnalyzer{}
+
+	config := Analyzer{
+		Client: &kubernetes.Client{
+			Client: clientset,
+		},
+		Context:   context.Background(),
+		Namespace: "default",
+	}
+	analysisResults, err := hpaAnalyzer.Analyze(config)
+	if err != nil {
+		t.Error(err)
+	}
+	for _, analysis := range analysisResults {
+		assert.Equal(t, len(analysis.Error), 0)
+	}
+}