diff --git a/math/mathmore/test/testInterpolation.cxx b/math/mathmore/test/testInterpolation.cxx
index 631978201a8b5..50766c1c09378 100644
--- a/math/mathmore/test/testInterpolation.cxx
+++ b/math/mathmore/test/testInterpolation.cxx
@@ -34,7 +34,7 @@ void interpolate( const  ROOT::Math::Interpolator & itp, bool drawSame = false )
    double xi = 0.;
    Float_t xcoord[n], ycoord[n];
 
-   for ( i = 0; i < 50; ++i) { 
+   for (i = 0; i < n; ++i) {
       xi = 0.2 * i;
       // JH replacing for ( double xi = 0; xi < 10.01; xi += 0.2) {
       xcoord[i] = xi;
diff --git a/test/stressHistogram.cxx b/test/stressHistogram.cxx
index acb8f86497229..3e9a49c089541 100644
--- a/test/stressHistogram.cxx
+++ b/test/stressHistogram.cxx
@@ -10229,6 +10229,10 @@ int stressHistogram()
              << gROOT->GetGitBranch() << "@" << gROOT->GetGitCommit() << std::endl;
    std::cout <<"****************************************************************************\n";
 
+   if (cleanHistos) {
+      delete ht2;
+      delete htp2;
+   }
    return GlobalStatus;
 }
 
diff --git a/test/stressLinear.cxx b/test/stressLinear.cxx
index 4a198019277f3..e9b9c52aaadb5 100644
--- a/test/stressLinear.cxx
+++ b/test/stressLinear.cxx
@@ -2249,11 +2249,11 @@ void spstress_matrix_fill(Int_t rsize,Int_t csize)
 {
   Bool_t ok = kTRUE;
 
-  if (csize < 4) {
-    Error("spstress_matrix_fill","rsize should be >= 4");
-    ok = kFALSE;
-    StatusPrint(2,"Filling, Inserting, Using",ok);
-    return;
+  if (rsize < 4) {
+     Error("spstress_matrix_fill", "rsize should be >= 4");
+     ok = kFALSE;
+     StatusPrint(2, "Filling, Inserting, Using", ok);
+     return;
   }
 
   if (csize < 4) {
diff --git a/tmva/tmva/inc/TMVA/DNN/Layer.h b/tmva/tmva/inc/TMVA/DNN/Layer.h
index 3453057594f38..08fdc60a29c14 100644
--- a/tmva/tmva/inc/TMVA/DNN/Layer.h
+++ b/tmva/tmva/inc/TMVA/DNN/Layer.h
@@ -249,6 +249,7 @@ TLayer<Architecture_t>::TLayer(const TLayer &layer)
 {
    Architecture_t::Copy(fWeights, layer.GetWeights());
    Architecture_t::Copy(fBiases,  layer.GetBiases());
+   fDropoutProbability = 0.;
 }
 
 //______________________________________________________________________________
diff --git a/tmva/tmva/src/HyperParameterOptimisation.cxx b/tmva/tmva/src/HyperParameterOptimisation.cxx
index 6e96c0ada093d..1b2968022163e 100644
--- a/tmva/tmva/src/HyperParameterOptimisation.cxx
+++ b/tmva/tmva/src/HyperParameterOptimisation.cxx
@@ -32,6 +32,7 @@
 TMVA::HyperParameterOptimisationResult::HyperParameterOptimisationResult()
    : fROCAVG(0.0), fROCCurves(std::make_shared<TMultiGraph>())
 {
+   fROCAVG = 0.;
 }
 
 TMVA::HyperParameterOptimisationResult::~HyperParameterOptimisationResult()
diff --git a/tmva/tmvagui/src/rulevisHists.cxx b/tmva/tmvagui/src/rulevisHists.cxx
index 1edd521d1143d..2187ef89cb97c 100644
--- a/tmva/tmvagui/src/rulevisHists.cxx
+++ b/tmva/tmvagui/src/rulevisHists.cxx
@@ -263,4 +263,5 @@ void TMVA::rulevisHists( TDirectory *rfdir, TDirectory *vardir, TDirectory *corr
       TString fname = Form( "plots/%s_c%i", outputName.Data(), countCanvas+1 );
       TMVAGlob::imgconv( c[countCanvas], fname );
    }
+   delete[] c;
 }