diff --git a/README.md b/README.md
index 840ba4a..85ae1e6 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,8 @@
 # BatchNLPKernels.jl
 
-[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://LearningToOptimize.github.io/BatchNLPKernels.jl/dev/)
-[![Build Status](https://github.com/LearningToOptimize/BatchNLPKernels.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/LearningToOptimize/BatchNLPKernels.jl/actions/workflows/CI.yml?query=branch%3Amain)
+[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://klamike.github.io/BatchNLPKernels.jl/dev/)
+[![Build Status](https://github.com/klamike/BatchNLPKernels.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/klamike/BatchNLPKernels.jl/actions/workflows/CI.yml?query=branch%3Amain)
+[![Coverage](https://codecov.io/gh/LearningToOptimize/BatchNLPKernels.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/LearningToOptimize/BatchNLPKernels.jl)
 
 `BatchNLPKernels.jl` provides [`KernelAbstractions.jl`](https://github.com/JuliaGPU/KernelAbstractions.jl) kernels for evaluating problem data from a (parametric) [`ExaModel`](https://github.com/exanauts/ExaModels.jl) for batches of solutions (and parameters). Currently the following functions (as well as their non-parametric variants) are exported:
 
diff --git a/src/interval.jl b/src/interval.jl
index fd884f5..d31c7ba 100644
--- a/src/interval.jl
+++ b/src/interval.jl
@@ -15,7 +15,6 @@ Base.broadcastable(s::Interval) = Ref(s)
 Base.isempty(s::Interval{VT}) where {VT} = isempty(s.l) || isempty(s.u)
 
 # empty support (unconstrained)
-Interval(::Nothing) = Interval()
 Interval() = Interval(nothing, nothing)
 Base.isempty(::Interval{Nothing}) = true
 @inline _violation(v, ::Interval{Nothing}) = zero(v)
diff --git a/src/kernels.jl b/src/kernels.jl
index 743f75e..27ee83b 100644
--- a/src/kernels.jl
+++ b/src/kernels.jl
@@ -1,3 +1,5 @@
+## COV_EXCL_START
+
 @kernel function kerf_batch(Y, @Const(f), @Const(itr), @Const(X), @Const(Θ))
     I, batch_idx = @index(Global, NTuple)
     @inbounds Y[ExaModels.offset0(f, itr, I), batch_idx] = f.f(itr[I], view(X, :, batch_idx), view(Θ, :, batch_idx))
@@ -102,4 +104,6 @@ end
             Y[j, batch_idx] += V[ind, batch_idx] * X[i, batch_idx]
         end
     end
-end
\ No newline at end of file
+end
+
+## COV_EXCL_STOP
\ No newline at end of file
diff --git a/test/runtests.jl b/test/runtests.jl
index 1b1dfd1..2bc5b19 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -38,6 +38,13 @@ if haskey(ENV, "BNK_TEST_CUDA")
     @info "CUDA detected"
 end
 
+@testset "Empty Intervals" begin
+    empt = BNK.Interval()
+    @test isempty(empt)
+    @test isnothing(empt.l)
+    @test isnothing(empt.u)
+    @test BNK._violation([1.0, 2.0, 3.0], empt) == [0.0, 0.0, 0.0]
+end
 
 include("luksan.jl")
 include("power.jl")