diff --git a/Framework/CurveFitting/src/Algorithms/QENSFitSequential.cpp b/Framework/CurveFitting/src/Algorithms/QENSFitSequential.cpp
index d7a8b8ea2140631a2492e344489a3f2eefb8c043..a8d8dc6148da074671a7c96ec24af801533bfd28 100644
--- a/Framework/CurveFitting/src/Algorithms/QENSFitSequential.cpp
+++ b/Framework/CurveFitting/src/Algorithms/QENSFitSequential.cpp
@@ -398,7 +398,7 @@ void QENSFitSequential::init() {
   declareProperty(
       std::make_unique<FunctionProperty>("Function", Direction::InOut),
       "The fitting function, common for all workspaces in the input.");
-  declareProperty("LogValue", "axis-1",
+  declareProperty("LogName", "axis-1",
                   "Name of the log value to plot the "
                   "parameters against. Default: use spectra "
                   "numbers.");
@@ -660,7 +660,7 @@ std::vector<std::size_t> QENSFitSequential::getDatasetGrouping(
 WorkspaceGroup_sptr QENSFitSequential::processIndirectFitParameters(
     ITableWorkspace_sptr parameterWorkspace,
     const std::vector<std::size_t> &grouping) {
-  std::string const columnX = getProperty("LogValue");
+  std::string const columnX = getProperty("LogName");
   std::string const xAxisUnit = getProperty("ResultXAxisUnit");
   auto pifp =
       createChildAlgorithm("ProcessIndirectFitParameters", 0.91, 0.95, false);
@@ -733,7 +733,7 @@ ITableWorkspace_sptr QENSFitSequential::performFit(const std::string &input,
   plotPeaks->setProperty("Minimizer", getPropertyValue("Minimizer"));
   plotPeaks->setProperty("PassWSIndexToFunction", passWsIndex);
   plotPeaks->setProperty("PeakRadius", getPropertyValue("PeakRadius"));
-  plotPeaks->setProperty("LogValue", getPropertyValue("LogValue"));
+  plotPeaks->setProperty("LogValue", getPropertyValue("LogName"));
   plotPeaks->setProperty("EvaluationType", getPropertyValue("EvaluationType"));
   plotPeaks->setProperty("CostFunction", getPropertyValue("CostFunction"));
   plotPeaks->executeAsChildAlg();
diff --git a/qt/scientific_interfaces/Indirect/IndirectFittingModel.cpp b/qt/scientific_interfaces/Indirect/IndirectFittingModel.cpp
index e328a295a018d05715b45428363ae802e9d0af06..9182558d19b2550541352e2eca7b5a3301a494e8 100644
--- a/qt/scientific_interfaces/Indirect/IndirectFittingModel.cpp
+++ b/qt/scientific_interfaces/Indirect/IndirectFittingModel.cpp
@@ -329,8 +329,8 @@ PrivateFittingData::PrivateFittingData(
     std::vector<std::unique_ptr<IndirectFitData>> &&data)
     : m_data(std::move(data)) {}
 
-PrivateFittingData &PrivateFittingData::
-operator=(PrivateFittingData &&fittingData) {
+PrivateFittingData &
+PrivateFittingData::operator=(PrivateFittingData &&fittingData) {
   m_data = std::move(fittingData.m_data);
   return *this;
 }
@@ -738,7 +738,7 @@ std::string IndirectFittingModel::getResultXAxisUnit() const {
   return "MomentumTransfer";
 }
 
-std::string IndirectFittingModel::getResultLogValue() const { return "axis-1"; }
+std::string IndirectFittingModel::getResultLogName() const { return "axis-1"; }
 
 boost::optional<ResultLocation>
 IndirectFittingModel::getResultLocation(std::size_t index,
@@ -816,7 +816,7 @@ IAlgorithm_sptr IndirectFittingModel::createSequentialFit(
   fitAlgorithm->setProperty("Input", input);
   fitAlgorithm->setProperty("OutputWorkspace", sequentialFitOutputName());
   fitAlgorithm->setProperty("PassWSIndexToFunction", true);
-  fitAlgorithm->setProperty("LogValue", getResultLogValue());
+  fitAlgorithm->setProperty("LogName", getResultLogName());
 
   const auto range = initialFitData->getRange(0);
   fitAlgorithm->setProperty("StartX", range.first);
diff --git a/qt/scientific_interfaces/Indirect/IndirectFittingModel.h b/qt/scientific_interfaces/Indirect/IndirectFittingModel.h
index de28554fd8339ca4655526457c6e429198e0cf01..c6f43c3e91f474bded09ca26b7c7a0c8419e52ad 100644
--- a/qt/scientific_interfaces/Indirect/IndirectFittingModel.h
+++ b/qt/scientific_interfaces/Indirect/IndirectFittingModel.h
@@ -159,7 +159,7 @@ private:
   createDefaultParameters(std::size_t index) const;
 
   virtual std::string getResultXAxisUnit() const;
-  virtual std::string getResultLogValue() const;
+  virtual std::string getResultLogName() const;
 
   bool isPreviousModelSelected() const;
 
diff --git a/qt/scientific_interfaces/Indirect/JumpFitModel.cpp b/qt/scientific_interfaces/Indirect/JumpFitModel.cpp
index 98ac826df5b54ab56d2ec0a203cf5696791af685..7e940a9ce28c7069d588a485a74df5554887a724 100644
--- a/qt/scientific_interfaces/Indirect/JumpFitModel.cpp
+++ b/qt/scientific_interfaces/Indirect/JumpFitModel.cpp
@@ -364,7 +364,7 @@ std::string JumpFitModel::singleFitOutputName(std::size_t index,
 
 std::string JumpFitModel::getResultXAxisUnit() const { return ""; }
 
-std::string JumpFitModel::getResultLogValue() const { return "SourceName"; }
+std::string JumpFitModel::getResultLogName() const { return "SourceName"; }
 
 std::string JumpFitModel::constructOutputName() const {
   auto const name = createOutputName("%1%_FofQFit_" + m_fitType, "", 0);
diff --git a/qt/scientific_interfaces/Indirect/JumpFitModel.h b/qt/scientific_interfaces/Indirect/JumpFitModel.h
index c3a3dedd5808575d448bcb507ce645f6ce5b82cb..0deafe0e84ef2d0fe9e313b655ccb7fdf1750d32 100644
--- a/qt/scientific_interfaces/Indirect/JumpFitModel.h
+++ b/qt/scientific_interfaces/Indirect/JumpFitModel.h
@@ -61,7 +61,7 @@ private:
   std::unordered_map<std::string, JumpFitParameters>::const_iterator
   findJumpFitParameters(std::size_t dataIndex) const;
   std::string getResultXAxisUnit() const override;
-  std::string getResultLogValue() const override;
+  std::string getResultLogName() const override;
 
   std::string m_fitType;
   std::unordered_map<std::string, JumpFitParameters> m_jumpParameters;