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List the guidelines for data design.
i. Apply systematic analysis on data.
ii. Identify data structures and related operations.
iii. Establish data dictionary.
iv. Use information hiding in the design of data structure.
v. Apply a library of useful data structures and operations.
Distinguish between alpha and beta testing. Alpha and beta testing are the kinds of acceptance testing. Alpha test: The alpha testing is attesting in which the version of compl
Token count: - A program is considered to be series of tokens and if we count the number of tokens, some interesting results might be emerge. Tokens are classified as either opera
Describe the effect of defining a prototype on the overall cost of the software project? The prototyping model: In this model, a prototype (an previous approximation of a fin
What is the difference between Print Preview and Layout Preview? Print Preview and Layout Preview When a report is observed in Print preview, it appears almost exactly as it
What is a boundary value analysis? A boundary value analysis is a testing method in which the elements at the edge of the domain are selected and tested. It is a test case desi
What are the various types of coupling? i. Data coupling - The data coupling is likely by parameter passing or data interaction. ii. Control coupling - The modules share c
Mentoring a class at a university. is project or process??
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Define Requirement Engineering . Requirement Engineering is a process in which all of the activities required to maintain and create a system requirements document. The four
Q. Briefly explain Integration Testing? Integration Testing: In this the module are methodically integrated and tested to find protocol design error, interface problems, errors
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