RAD Model

Introduction to RAD Model

RAD rapid application development, a methodology that has the same objective of speedy response to user needs as does prototypes   but is broader in scope. The RAD term  was coined by  computer consultant and author James martin RAD refers  to a  development  life cycle intended to  produce  system quickly  without  sacrificing  quality:

RAD model is an incremental model combing water fall model with components based development model which:

  • Consumes very less time to develop the software,
  • Is the high speed, very fast processing model.
  • Is the modified version of the waterfall model,
  • Is used in the business oriented applications,
  • Can sue reusable components. And performs various business functions for which the different and independent teams are made for each function.
  • There are various independent teams to complete the work done of various business functions. Each individual business function has a separate RAD team. When the functions are development they are integrated to form it as a whole. This model is divided into five phases, shown diagrammatically in fig 2.9.

All the phases are discussed below one by one:

1. Business modelling: In this phase the information flow among the various functions is described. This information will be generated and processed by software engineers. It is to be checked from where that information is created and where it will go.

2. Data modelling: To refine the information flow of the previous phase, it is partitioned into different data objects. Each data object may have the various attributes and then the relationships and connections are made among these data objects.

 3.Process modelling : the data objects of data  modelling  phase are now  combined to  provide  the information  flow  of each  business  function. Some documents and reports are prepared for addition, updating, editing like, deletion, creation and retrieval of the data objects.

BM: Business Modelling

DM: Data Modelling

PM: Process Modelling

AG: Application Generation 

T&T: Testing and Turnover

4. Application Generation: As previously mentioned, this model uses the concept of reusability. So the product is built using the new components as well as some already existing components.  If any  new built components  of this  business application  is found  to be important  then it can  be stored in the library or data  store  for the later.

Projects and future use. Now this component will act as reusable components in any other new project.

5. Testing and Turnover:  Now, the unit testing is done where all the new built components are tested. The existing ones need not to be tested because that have already been tested in their previous projects. So this reduces the overall testing time. After that all components are merged together to form an integrated one. Now this integrated system will be tested against the mentioned requirements for their fulfilment and satisfaction. In this way, the whole business application is developed and it is now delivered to the customer.

RAD model is built in the time constraints i.e. of2to 3 month. So if a business application is divided into its various functions, each of the function must be completed within three month times. If is not completed within this time limitation then that application is not RAD model based.

Advantages

  • Very less time consuming.
  • Good for the business oriented application.
  • Independent teams for separate function.

Disadvantage

  • Human Resources: RAD requires the sufficient human resource to create the RAD teams.
  • Time Constraints: the RAD process must be completed within the time bounds (60-90days) otherwise this model is useless for particular business requirement.
  • Performance: This model does not suit to all types of application .because model is bounded in the time constraints, and it may or may not achieve good performance.

Risk Handling: RAD is not appropriate when the technical risks are high. These risks occur due to more use of new technology or when any new software requires high interoperability with the existing programs. So when the technical risks become reality, implementation may become impossible.

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