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Black Box Testing:-Black Box Testing is also known as behavioural testing, focuses on the functional requirements of the software. It allows the software engineer to derive sets of input conditions that will fully exercise all functional needs for a program. It is a complementary approach that is likely to uncover a dissimilar class of errors than white box testing. Black Box Testing attempts to find errors in the following categories:-
1) Incorrect or missing functions.
2) Errors in data structures or external database access.
3) Interface errors.
4) Behavior or performance errors.
5) Initialization and termination errors.
Explain Process? The work effort that makes a product. This contains efforts of people and equipment guided by policies, standards, and procedures.
QUESTION - RMI (a) Figure illustrates an RMI communication. Describe the role of each component in the RMI. (b) Explain the ter
How to handle concurrency: Mechanisms Locks Semaphores Monitors Synchronized methods Methods Deadlock avoidance Verification Sim
What are the challenges in software? Copying with legacy systems. Heterogeneity challenge Delivery times challenge
Define sandwich testing. Testing combines the ideas of both bottom-up and top-down testing by defining a certain target layer in the hierarchy of the module. The modules below
The terms "test scenario" and "test case" are certain used synonymously. Test scenarios are test cases or test scripts, and the series in which they are to be implemented. Test sce
(a) Draw an Entity-Relationship model for the relational schema given in the Appendix. Show all the entities, relationships, relationship names, and attributes and also underline
Q. Compute the McCobes cyclomatic complexity? (i) compute the McCobe's cyclomatic complexity (ii) Find out independent path Ans (i) Cyclomate complexity V (
What is Prototype Prototype is developed so that customers, developers and users can learn more about problem. Hence prototype serves as a mechanism for identifying software r
Data validity is the reasonableness and correctness of data.
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