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To develop software of lasting quality you have to lay down a solid architectural foundation that is resilient to change. Modelling is at the heart of the development of good quality software. The Unified Modelling Language has become a standard software modelling language standardised by the Object Management Group (OMG).
To enable effective modelling to develop software systems, UML employs the concepts of the object-oriented paradigm.
With reference to the above answer the following questions.
(a) What is a model?
(b) Why do we model?
(c) Explain in detail, four principles of modelling?
What is meant by Throw away Prototyping? Giving the user a system which is incomplete and then changing and augmenting it as the user requires become clear. The objective
Question 1: (a) A company wishes to under-go a Business Process Re-engineering activity with respect to its core business processes. Explain the extent to which MIS could be
Discuss any two software characteristics. Software is not manufactured : The life of software is from method exploration to the retirement of the software product. It is one t
Q. How Abstraction used in stepwise refinement? Abstraction:- Abstraction permits one to concentrate on a problem at some level of generalization without regard to irrelevant l
Software measurement Software measurement is anxious with deriving a numeric value for an attribute of a software product or process. This permits for objective comparisons
Explain about Virtual memory Virtual memory is a method used in some large computer that permit the user to construct programs as by a large memory space were available, equal
Q. What do you mean by Static analysers? Static analysers A static analyser operates from a pre-computed database of descriptive information derived from the source text of t
State Lehman's First law. A program that is used in true world environment essentially must change or become progressively less useful in that environment.
The worst type of coupling is content coupling.
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
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