SciML · ChrisRackauckas · Jun 14, 2026 · Jun 14, 2026
diff --git a/Project.toml b/Project.toml
@@ -39,8 +39,10 @@ PenaltyFunctions = "0.3"
 PreallocationTools = "0.4.34, 1.0"
 Random = "1"
 RecursiveArrayTools = "3.50, 4"
+SafeTestsets = "0.1, 1"
 SciMLBase = "2.153, 3"
 SciMLSensitivity = "7.80"
+SciMLTesting = "1"
 SteadyStateDiffEq = "2"
 Statistics = "1.10"
 StatsAPI = "1.8.0"
@@ -63,14 +65,15 @@ OptimizationBBO = "3e6eede4-6085-4f62-9a71-46d9bc1eb92b"
 OptimizationNLopt = "4e6fcdb7-1186-4e1f-a706-475e75c168bb"
 OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
-Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 SteadyStateDiffEq = "9672c7b4-1e72-59bd-8a11-6ac3964bc41f"
 StochasticDiffEq = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
 Sundials = "c3572dad-4567-51f8-b174-8c6c989267f4"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["Test", "ExplicitImports", "BlackBoxOptim", "DelayDiffEq", "ForwardDiff", "Logging", "NLopt", "Optim", "Optimization", "OptimizationBBO", "OptimizationNLopt", "OptimizationOptimJL", "OrdinaryDiffEq", "Pkg", "Random", "SciMLSensitivity", "StochasticDiffEq", "SteadyStateDiffEq", "Sundials", "Zygote"]
+test = ["Test", "ExplicitImports", "BlackBoxOptim", "DelayDiffEq", "ForwardDiff", "Logging", "NLopt", "Optim", "Optimization", "OptimizationBBO", "OptimizationNLopt", "OptimizationOptimJL", "OrdinaryDiffEq", "Random", "SafeTestsets", "SciMLSensitivity", "SciMLTesting", "StochasticDiffEq", "SteadyStateDiffEq", "Sundials", "Zygote"]
diff --git a/test/tests_on_odes/blackboxoptim_test.jl → test/blackboxoptim_test.jl b/test/tests_on_odes/blackboxoptim_test.jl → test/blackboxoptim_test.jl
@@ -1,4 +1,6 @@
+using DiffEqParamEstim, OrdinaryDiffEq
 using Optimization, OptimizationBBO, Logging
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 
 prob1.u0 .= [1.0, 1.0]
 prob2.u0 .= [1.0, 1.0]

diff --git a/test/tests_on_odes/l2_colloc_grad_test.jl → test/l2_colloc_grad_test.jl b/test/tests_on_odes/l2_colloc_grad_test.jl → test/l2_colloc_grad_test.jl
@@ -1,3 +1,7 @@
+using DiffEqParamEstim, OrdinaryDiffEq
+using Optim
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
+
 weight = 1.0e-6
 
 cost_function = build_loss_objective(

diff --git a/test/tests_on_odes/l2loss_test.jl → test/l2loss_test.jl b/test/tests_on_odes/l2loss_test.jl → test/l2loss_test.jl
@@ -1,4 +1,6 @@
+using DiffEqParamEstim, OrdinaryDiffEq
 using Optimization, OptimizationBBO, Optim, Logging
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 
 cost_function = build_loss_objective(
     prob1, Tsit5(), L2Loss(t, data),

diff --git a/test/tests_on_odes/nlopt_test.jl → test/nlopt_test.jl b/test/tests_on_odes/nlopt_test.jl → test/nlopt_test.jl
@@ -1,4 +1,6 @@
-using OptimizationNLopt, Zygote
+using DiffEqParamEstim, OrdinaryDiffEq
+using Optimization, OptimizationNLopt, Zygote
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 
 println("Use NLOpt to fit the parameter")
 

diff --git a/test/tests_on_odes/optim_test.jl → test/optim_test.jl b/test/tests_on_odes/optim_test.jl → test/optim_test.jl
@@ -1,4 +1,6 @@
+using DiffEqParamEstim, OrdinaryDiffEq
 using Optim, Random
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 obj = build_loss_objective(
     prob1, Tsit5(), L2Loss(t, data),
     maxiters = 10000

diff --git a/test/qa/Project.toml b/test/qa/Project.toml
@@ -2,6 +2,8 @@
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 DiffEqParamEstim = "1130ab10-4a5a-5621-a13d-e4788d82bd4c"
 JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [sources]
@@ -10,5 +12,7 @@ DiffEqParamEstim = {path = "../.."}
 [compat]
 Aqua = "0.8"
 JET = "0.9,0.10,0.11"
+SafeTestsets = "0.1, 1"
+SciMLTesting = "1"
 Test = "1"
 julia = "1.10"
diff --git a/test/tests_on_odes/regularization_test.jl → test/regularization_test.jl b/test/tests_on_odes/regularization_test.jl → test/regularization_test.jl
@@ -1,4 +1,6 @@
-using PenaltyFunctions, OptimizationOptimJL, LinearAlgebra, SciMLSensitivity
+using DiffEqParamEstim, OrdinaryDiffEq
+using Optimization, PenaltyFunctions, OptimizationOptimJL, LinearAlgebra, SciMLSensitivity
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 
 cost_function_1 = build_loss_objective(
     prob1, Tsit5(), L2Loss(t, data),

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -1,50 +1,2 @@
-using Pkg
-using DiffEqParamEstim, Test
-
-const GROUP = get(ENV, "GROUP", "All")
-
-if GROUP == "QA"
-    Pkg.activate("qa")
-    Pkg.develop(PackageSpec(path = dirname(@__DIR__)))
-    Pkg.instantiate()
-    include("qa/qa.jl")
-else
-    @time @testset "Explicit Imports" begin
-        include("explicit_imports.jl")
-    end
-
-    @time @testset "Tests on ODEs" begin
-        include("tests_on_odes/test_problems.jl")
-        include("tests_on_odes/l2loss_test.jl")
-        include("tests_on_odes/optim_test.jl")
-        include("tests_on_odes/nlopt_test.jl")
-        include("tests_on_odes/two_stage_method_test.jl")
-        include("tests_on_odes/blackboxoptim_test.jl")
-        include("tests_on_odes/regularization_test.jl")
-        include("tests_on_odes/weighted_loss_test.jl")
-        include("tests_on_odes/l2_colloc_grad_test.jl")
-        #include("tests_on_odes/genetic_algorithm_test.jl") # Not updated to v0.6
-    end
-
-    @time @testset "Multiple Shooting Objective" begin
-        include("multiple_shooting_objective_test.jl")
-    end
-    @time @testset "Likelihood Loss" begin
-        include("likelihood.jl")
-    end
-    @time @testset "Out-of-place ODE Tests" begin
-        include("out_of_place_odes.jl")
-    end
-    @time @testset "Steady State Tests" begin
-        include("steady_state_tests.jl")
-    end
-    @time @testset "DAE Tests" begin
-        include("dae_tests.jl")
-    end
-    @time @testset "DDE Tests" begin
-        include("dde_tests.jl")
-    end
-    @time @testset "Test on Monte" begin
-        include("test_on_monte.jl")
-    end
-end
+using SciMLTesting
+run_tests()
diff --git a/test/tests_on_odes/genetic_algorithm_test.jl → test/shared/genetic_algorithm_test.jl b/test/tests_on_odes/genetic_algorithm_test.jl → test/shared/genetic_algorithm_test.jl
diff --git a/test/lorenz_test.jl → test/shared/lorenz_test.jl b/test/lorenz_test.jl → test/shared/lorenz_test.jl
diff --git a/test/lorenz_true_test.jl → test/shared/lorenz_true_test.jl b/test/lorenz_true_test.jl → test/shared/lorenz_true_test.jl
diff --git a/test/tests_on_odes/test_problems.jl → test/shared/test_problems.jl b/test/tests_on_odes/test_problems.jl → test/shared/test_problems.jl
diff --git a/test/tests_on_odes/two_stage_method_test.jl → test/two_stage_method_test.jl b/test/tests_on_odes/two_stage_method_test.jl → test/two_stage_method_test.jl
@@ -1,4 +1,6 @@
-using Optim, NLopt, OptimizationOptimJL
+using DiffEqParamEstim, OrdinaryDiffEq
+using Optimization, OptimizationNLopt, Optim, NLopt, OptimizationOptimJL
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 
 println("Use Two Stage Method to fit the parameter")
 

diff --git a/test/tests_on_odes/weighted_loss_test.jl → test/weighted_loss_test.jl b/test/tests_on_odes/weighted_loss_test.jl → test/weighted_loss_test.jl
@@ -1,4 +1,6 @@
+using DiffEqParamEstim, OrdinaryDiffEq
 using Distributions, RecursiveArrayTools, NLopt, Random
+include(joinpath(@__DIR__, "shared", "test_problems.jl"))
 Random.seed!(123)
 
 original_solution = VectorOfArray([(sol(t[i])) for i in 1:length(t)])