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Q. What is Inheritance?
Inheritance:-Inheritance is defined as the property of objects by which instances of a class can have access to data and programs contained in a previously defined class, without those definitions being restated. Classes are linked together in a hierarchy. They form a tree, whose root is the class of "objects". Each class (except for the root class) will have a super class (a class above it in the hierarchy) and possibly subclasses. A class can inherit (i.e. acquire) methods from its super class and in turn can pass methods on to its subclasses. A subclass must have all the properties of the parent class and other properties as well.
Common coupling: Common coupling is when two modules share the similar global data (e.g. a global variable). Changing the shared resource implies changing all the modules using it
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Q. Post-production design feedback for future designs ? Post-production design feedback for future designs Implementation it is introducing the designed solution into
State the Advantages of Prototyping Advantages of prototyping outperform problems of prototyping. Hence overall, it's a beneficial approach to develop prototype. End user can'
Define effector process? The effector process is termed as a process that verifies itself. The effector process exists in specific criteria.
What is a cohesive module? A cohesive module performs only "one task" in software procedure with few interaction with other modules. It means cohesive module serve only one thi
What is stress testing and performance testing? A stress testing executes a system in a way that demands resources in abnormal quantity, volume or frequency. Performance te
CMM is a strategy for enhancing the software process irrespective of the actual life cycle model utilized. SEI (Software Engineering Institute) of Carnegie-Mellon University develo
What is Upward compression? Ans) In software design, "upward compression" means a type of demodularization in which a subordinate module is copied into the body of a better modu
List the guidelines for data design. i. Apply systematic analysis on data. ii. Determine data structures and related operations. iii. Establish data dictionary. iv. Us
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