WBJECA 2025 — Computer PYQ

Acceptance testing is the final phase of software testing performed to determine if the system meets the business requirements and is ready for delivery to the end user. While other forms of testing verify technical correctness, acceptance testing focuses on whether the system functions as expected from the user's perspective.

Functional testing is the primary method used during acceptance testing because it evaluates the system against the functional requirements (what the system should do). Mathematically, we can define the success of acceptance testing ($S_{acc}$) as a boolean function of the verified requirements ($R_v$) and total requirements ($R_t$):

$$S_{acc}=\{\begin{array}{llc}1& amp;\text{if }\sum R_v=\sum R_t& \\ 0& amp;\text{if }\sum R_v& lt;\sum R_t\end{array}$$

In this context, the probability of user acceptance ($P_{acc}$) increases as the number of successfully passed functional test cases ($T_p$) approaches the total number of required test cases ($T_{total}$):

$$P_{acc}\propto \frac{T_p}{T_{total}}$$

• Unit Testing: Focuses on individual code components or modules.

• Integration Testing: Focuses on the interfaces and interactions between combined modules.

• Regression Testing: Ensures that new code changes haven't adversely affected existing, previously tested features.