diff --git a/src/test/resources/log4j.properties b/src/test/resources/log4j2.properties
similarity index 91%
rename from src/test/resources/log4j.properties
rename to src/test/resources/log4j2.properties
index 9232a2fd..b3c2e25b 100644
--- a/src/test/resources/log4j.properties
+++ b/src/test/resources/log4j2.properties
@@ -18,6 +18,6 @@ appender.console.layout.type = PatternLayout
 appender.console.layout.pattern = %d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n
 
 # Root logger level
-rootLogger.level = debug
+rootLogger.level = warn
 # Root logger referring to console appender
-rootLogger.appenderRef.stdout.ref = consoleLogger
\ No newline at end of file
+rootLogger.appenderRef.stdout.ref = consoleLogger
diff --git a/src/test/scala/com/crealytics/spark/excel/IntegrationSuite.scala b/src/test/scala/com/crealytics/spark/excel/IntegrationSuite.scala
index b3f83787..75c541af 100644
--- a/src/test/scala/com/crealytics/spark/excel/IntegrationSuite.scala
+++ b/src/test/scala/com/crealytics/spark/excel/IntegrationSuite.scala
@@ -33,7 +33,7 @@ import spoiwo.natures.xlsx.Model2XlsxConversions._
 import java.io.{File, FileOutputStream}
 import scala.collection.compat._
 
-class IntegrationSuite
+abstract class IntegrationSuite(implementation: String)
     extends AnyFunSpec
     with ScalaCheckPropertyChecks
     with DataFrameSuiteBase
@@ -83,7 +83,11 @@ class IntegrationSuite
     ): DataFrame = {
       val theFileName = fileName.getOrElse(File.createTempFile("spark_excel_test_", ".xlsx").getAbsolutePath)
 
-      val writer = df.write.excel(dataAddress = s"'$sheetName'!A1", header = header).mode(saveMode)
+      val writer = df.write
+        .format(implementation)
+        .option("dataAddress", s"'$sheetName'!A1")
+        .option("header", header)
+        .mode(saveMode)
       val configuredWriter =
         Map("dataAddress" -> dataAddress).foldLeft(writer) {
           case (wri, (key, Some(value))) => wri.option(key, value)
@@ -91,7 +95,7 @@ class IntegrationSuite
         }
       configuredWriter.save(theFileName)
 
-      val reader = spark.read.excel(dataAddress = s"'$sheetName'!A1", header = header)
+      val reader = spark.read.format(implementation).option("dataAddress", s"'$sheetName'!A1").option("header", header)
       val configuredReader = Map(
         "maxRowsInMemory" -> maxRowsInMemory,
         "maxByteArraySize" -> maxByteArraySize,
@@ -117,7 +121,9 @@ class IntegrationSuite
       assertDataFrameEquals(expected, inferred)
     }
 
-    describe(s"with maxRowsInMemory = $maxRowsInMemory; maxByteArraySize = $maxByteArraySize") {
+    describe(
+      s"with implementation = $implementation, maxRowsInMemory = $maxRowsInMemory; maxByteArraySize = $maxByteArraySize"
+    ) {
       it("parses known datatypes correctly") {
         forAll(rowsGen) { rows =>
           val expected = spark.createDataset(rows).toDF()
@@ -352,3 +358,6 @@ class IntegrationSuite
   runTests(maxRowsInMemory = Some(1))
   runTests(maxRowsInMemory = Some(1), maxByteArraySize = Some(100000000))
 }
+
+class IntegrationSuiteV1 extends IntegrationSuite("com.crealytics.spark.excel")
+class IntegrationSuiteV2 extends IntegrationSuite("excel")