In　general,　residual　faults　still　exist　in　the　software　after　testing　phase.　Within　the　warranty　period,　the　developers　will　remove　the　faults　identified　by　users　and　release　patches　to　improve　software　reliability.　In　this　study,　the　learning　effects　of　faults　detection　by　users　are　considered　and　a　warranty-patch-price　joint　optimization　model　for　software　is　established.　The　effects　of　faults　coverage　rate　on　both　software　reliability　and　demand　function　are　considered　in　this　model.　The　optimal　warranty-patch-price　combination　is　obtained　by　maximizing　total　expected　profits　of　the　developers　over　software　warranty　period.　Case　study　is　implemented　to　illustrate　the　validity　of　the　joint　optimization　model.　It　shows　that　the　joint　optimization　can　achieve　the　greatest　profit　for　the　developers　compared　with　the　individual　optimization　plans.　©　2023　IEEE.