The document discusses various system development methodologies: Waterfall, Prototyping, Incremental, Spiral, and Rapid Application Development (RAD). For each methodology, it describes the framework type, basic principles, strengths, weaknesses, and situations where most/least appropriate. The Waterfall methodology is described in the most detail. It emphasizes structured development processes but can be inflexible. Prototyping focuses on iterative development and user involvement. Incremental combines linear and iterative approaches. Spiral emphasizes risk assessment. RAD aims for fast delivery through tools, iteration, and user involvement.
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
Requirements analysis, also called requirements engineering, is the process of determining user expectations for a new or modified product. These features, called requirements, must be quantifiable, relevant and detailed. In software engineering, such requirements are often called functional specifications. Requirements analysis is an important aspect of project management.
System Development Life Cycle (SDLC), Types of SDLC | Waterfall Model and Spi...Uttar Tamang ✔
This Slide includes:
#. Meaning of System Development Life Cycle
Process of SDLC
1. System Planning,
2. System Analysis,
3. System Design and Development,
4. System Implementation,
5. System Operation and Support
Types or Models of SDLC
1. Waterfall Model
1.1. Process of Waterfall Model
1.2. Advantages and Disadvantages of Waterfall Model
2. Spiral Model
2.1. Process of Spiral Method
2.2. Spiral Model For System Development
2.3. Advantages and Disadvantages of Spiral Model
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
Requirements analysis, also called requirements engineering, is the process of determining user expectations for a new or modified product. These features, called requirements, must be quantifiable, relevant and detailed. In software engineering, such requirements are often called functional specifications. Requirements analysis is an important aspect of project management.
System Development Life Cycle (SDLC), Types of SDLC | Waterfall Model and Spi...Uttar Tamang ✔
This Slide includes:
#. Meaning of System Development Life Cycle
Process of SDLC
1. System Planning,
2. System Analysis,
3. System Design and Development,
4. System Implementation,
5. System Operation and Support
Types or Models of SDLC
1. Waterfall Model
1.1. Process of Waterfall Model
1.2. Advantages and Disadvantages of Waterfall Model
2. Spiral Model
2.1. Process of Spiral Method
2.2. Spiral Model For System Development
2.3. Advantages and Disadvantages of Spiral Model
MANAGEMENT INFORMATION SYSTEM, MIS, CASE REPORT, ROLE OF INFORMATION TECHNOLOGY (IT) IN INFORMATION SYSTEM (IS), IT VS IS, CLASSIFICATION OF INFORMATION SYSTEMS, INFORMATION SYSTEM (IS) SUCCESS AND FAILURE, LIBCORPIO786, BUSINESS ADMINISTRATION, MANAGEMENT SCIENCE, EDUCATION AND LEARNING,
SDLC is the acronym of Software Development Life Cycle. It is also called as Software development process. The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process.
Decision Making and Information SystemsAriful Saimon
Premier University
[B.B.A]
Submitted To : Lecturer MS. Samima Parvez
Subject : Decision Making and Information
Semester: 5th Section: “A” Batch :22nd
Group Name: D’5
E-mail : Saimonchy20@gmail.com
Discuss about the system development methodologies with brief introduction and some main methodologies. Each and every methodology describe the Basic Principle, Strengths, Weaknesses, Situations where most appropriate and Situations where least appropriate with diagrams.
This presentation gives an introduction about different types of information systems, the information system's development methodologies and required infrastructures.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
Information system development
Presented by
Sanoob Sidiq
Sandra Madhu
Visakh Anand
for IT for Managers
MBA (FT) 2014 - 2016
School of Management Studies, CUSAT
MANAGEMENT INFORMATION SYSTEM, MIS, CASE REPORT, ROLE OF INFORMATION TECHNOLOGY (IT) IN INFORMATION SYSTEM (IS), IT VS IS, CLASSIFICATION OF INFORMATION SYSTEMS, INFORMATION SYSTEM (IS) SUCCESS AND FAILURE, LIBCORPIO786, BUSINESS ADMINISTRATION, MANAGEMENT SCIENCE, EDUCATION AND LEARNING,
SDLC is the acronym of Software Development Life Cycle. It is also called as Software development process. The software development life cycle (SDLC) is a framework defining tasks performed at each step in the software development process.
Decision Making and Information SystemsAriful Saimon
Premier University
[B.B.A]
Submitted To : Lecturer MS. Samima Parvez
Subject : Decision Making and Information
Semester: 5th Section: “A” Batch :22nd
Group Name: D’5
E-mail : Saimonchy20@gmail.com
Discuss about the system development methodologies with brief introduction and some main methodologies. Each and every methodology describe the Basic Principle, Strengths, Weaknesses, Situations where most appropriate and Situations where least appropriate with diagrams.
This presentation gives an introduction about different types of information systems, the information system's development methodologies and required infrastructures.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
Information system development
Presented by
Sanoob Sidiq
Sandra Madhu
Visakh Anand
for IT for Managers
MBA (FT) 2014 - 2016
School of Management Studies, CUSAT
All businesses large or small are turning towards software solutions to effectively run their businesses. Take a look at the importance of software development. See More At : http://www.greymatterindia.com/offshore-software-development
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Structured Systems Analysis and Design Method, originally released as methodology, is a systems approach to the analysis and design of information systems./waterfall method/ v method
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2. Introduction
A system development methodology refers to the framework that
is used to structure, plan, and control the process of developing
an information system.
A wide variety of such frameworks have evolved over the years,
each with its own recognized strengths and weaknesses.
One system development methodology is not necessarily
suitable for use by all projects. Each of the available
methodologies is best suited to specific kinds of projects, based
on various technical, organizational, project and team
considerations.
3. Types of System Development Methodologies
1 – Waterfall
2 – Prototyping
3 – Incremental
4 – Spiral
5 – Rapid Application Development (RAD)
4. 1 – Waterfall
Strengths:
1. Ideal for supporting less experienced project teams and project managers,
or project teams whose composition fluctuates.
2. The orderly sequence of development steps and strict controls for ensuring
the adequacy of documentation and design reviews helps ensure the
quality, reliability, and maintainability of the developed software.
3. Progress of system development is measurable. 4. Conserves resources.
5. 1 – Waterfall
Weaknesses:
1. Inflexible, slow, costly and cumbersome due to significant structure and tight
controls.
2. Project progresses forward, with only slight movement backward.
3. Little room for use of iteration, which can reduce manageability if used.
4. Depends upon early identification and specification of requirements, yet
users may not be able to clearly define what they need early in the project.
5. Requirements inconsistencies, missing system components, and
unexpected development needs are often discovered during design and
coding.
6. Problems are often not discovered until system testing.
6. 1 – Waterfall
Weaknesses:
7. System performance cannot be tested until the system is almost fully coded,
and under-capacity may be difficult to correct.
8. Difficult to respond to changes. Changes that occur later in the life cycle are
more costly and are thus discouraged.
9. Produces excessive documentation and keeping it updated as the project
progresses is time-consuming.
10.Written specifications are often difficult for users to read and thoroughly
appreciate.
11.Promotes the gap between users and developers with clear division of
responsibility.
7. 1 – Waterfall
Situations where most appropriate:
1. Project is for development of a mainframe-based or transaction-oriented
batch system.
2. Project is large, expensive, and complicated.
3. Project has clear objectives and solution.
4. Pressure does not exist for immediate implementation.
5. Project requirements can be stated unambiguously and comprehensively.
6. Project requirements are stable or unchanging during the system
development life cycle.
7. User community is fully knowledgeable in the business and application.
8. Team members may be inexperienced.
8. 1 – Waterfall
Situations where most appropriate:
9. Team composition is unstable and expected to fluctuate.
10.Project manager may not be fully experienced.
11.Resources need to be conserved.
12.Strict requirement exists for formal approvals at designated milestones.
9. 1 – Waterfall
Situations where least appropriate:
1. Large projects where the requirements are not well understood or are
changing for any reasons such as external changes, changing expectations,
budget changes or rapidly changing technology.
2. Web Information Systems (WIS) primarily due to the pressure of
implementing a WIS project quickly; the continual evolution of the project
requirements; the need for experienced, flexible team members drawn from
multiple disciplines; and the inability to make assumptions regarding the
users’ knowledge level.
3. Real-time systems.
4. Event-driven systems.
5. Leading-edge applications.
10. 2 – Prototyping
Framework Type: Iterative
Basic Principles:
1. Not a standalone, complete development methodology, but rather an
approach to handling selected portions of a larger, more traditional
development methodology (i, e Incremental, Spiral, or Rapid Application
Development (RAD)).
2. Attempts to reduce inherent project risk by breaking a project into smaller
segments and providing more ease-of-change during the development
process.
3. User is involved throughout the process, which increases the likelihood of
user acceptance of the final implementation.
11. 2 – Prototyping
Basic Principles:
4. Small-scale mock-ups of the system are developed following an iterative
modification process until the prototype evolves to meet the users’
requirements.
5. While most prototypes are developed with the expectation that they will be
discarded, it is possible in some cases to evolve from prototype to working
system.
6. A basic understanding of the fundamental business problem is necessary to
avoid solving the wrong problem.
12. 2 – Prototyping
Strengths:
1. “Addresses the inability of many users to specify their information needs,
and the difficulty of systems analysts to understand the user’s environment,
by providing the user with a tentative system for experimental purposes at
the earliest possible time.” (Janson and Smith, 1985)
2. “Can be used to realistically model important aspects of a system during
each phase of the traditional life cycle.” (Huffaker, 1986)
3. Improves both user participation in system development and communication
among project stakeholders.
4. Especially useful for resolving unclear objectives; developing and validating
user requirements; experimenting with or comparing various design
solutions; or investigating
13. 2 – Prototyping
Strengths:
4. Especially useful for resolving unclear objectives; developing and validating
user requirements; experimenting with or comparing various design
solutions; or investigating both performance and the human computer
interface.
5. Potential exists for exploiting knowledge gained in an early iteration as later
iterations are developed.
6. Helps to easily identify confusing or difficult functions and missing
functionality.
7. May generate specifications for a production application.
8. Encourages innovation and flexible designs.
9. Provides quick implementation of an incomplete, but functional, application.
14. 2 – Prototyping
Weaknesses:
1. Approval process and control is not strict.
2. Incomplete or inadequate problem analysis may occur whereby only the
most obvious and superficial needs will be addressed, resulting in current
inefficient practices being easily built into the new system.
3. Requirements may frequently change significantly.
4. Identification of non-functional elements is difficult to document.
5. Designers may prototype too quickly, without sufficient up-front user needs
analysis, resulting in an inflexible design with narrow focus that limits future
system potential.
6. Designers may neglect documentation, resulting in insufficient justification
for the finaproduct and inadequate records for the future.
15. 2 – Prototyping
Weaknesses:
7. Can lead to poorly designed systems. Unskilled designers may substitute
prototyping for sound design, which can lead to a “quick and dof the
integration of all other components. While initial software development is
often built to be a “throwaway”, attempting to retroactively produce a solid
system design can sometimes be problematic.
8. Can lead to false expectations, where the customer mistakenly believes that
the system is “finished” when in fact it is not; the system looks good and has
adequate user interfaces, but is not truly functional.
9. Iterations add to project budgets and schedules, thus the added costs must
be weighed against the potential benefits. Very
16. 2 – Prototyping
Weaknesses:
9. Iterations add to project budgets and schedules, thus the added costs must
be weighed against the potential benefits. Very small projects may not be
able to justify the added time and money, while only the high-risk portions of
very large, complex projects maygain benefit from prototyping.
10.Prototype may not have sufficient checks and balances incorporated.
17. 2 – Prototyping
Situations where most appropriate:
1. Project is for development of an online system requiring extensive user
dialog, or for a less well-defined expert and decision support system.
2. Project is large with many users, interrelationships, and functions, where
project risk relating to requirements definition needs to be reduced.
3. Project objectives are unclear.
4. Pressure exists for immediate implementation of something.
5. Functional requirements may change frequently and significantly.
6. User is not fully knowledgeable. 7. Team members are experienced
(particularly if the prototype is not a throw-away).
7. Team composition is stable.
18. 2 – Prototyping
Situations where most appropriate:
9. Project manager is experienced.
10.No need exists to absolutely minimize resource consumption.
11.No strict requirement exists for approvals at designated milestones.
12.Analysts/users appreciate the business problems involved, before they
begin the project.
13.Innovative, flexible designs that will accommodate future changes are not
critical.
19. 2 – Prototyping
Situations where least appropriate:
1. Mainframe-based or transaction-oriented batch systems.
2. Web-enabled e-business systems.
3. Project team composition is unstable.
4. Future scalability of design is critical.
5. Project objectives are very clear; project risk regarding requirements
definition is low.
20. 3 – Incremental
Framework Type: Combination Linear and Iterative
Basic Principles:
Various methods are acceptable for combining linear and iterative system
development methodologies, with the primary objective of each being to
reduce inherent project risk by breaking a project into smaller segments and
providing more ease-of-change during the development process:
1. A series of mini-Waterfalls are performed, where all phases of the Waterfall
development model are completed for a small part of the system, before
proceeding to the next increment; OR
2. Overall requirements are defined before proceeding to evolutionary, mini-
Waterfall development of individual increments of the system, OR
21. 3 – Incremental
3. The initial software concept, requirements analysis, and design of
architecture and system core are defined using the Waterfall approach,
followed by iterative Prototyping, which culminates in installation of the final
prototype (i.e., working system).
22. 3 – Incremental
Strengths :
1. Potential exists for exploiting knowledge gained in an early increment as
later increments are developed.
2. Moderate control is maintained over the life of the project through the use of
written documentation and the formal review and approval/signoff by the
user and information technology management at designated major
milestones.
3. Stakeholders can be given concrete evidence of project status throughout
the life cycle.
4. Helps to mitigate integration and architectural risks earlier in the project.
23. 3 – Incremental
Strengths :
5. Allows delivery of a series of implementations that are gradually more
complete and can go into production more quickly as incremental releases.
6. isolate issues and make adjustments before the organization is negatively
impacted.
24. 3 – Incremental
Weakness:
1. When utilizing a series of mini-Waterfalls for a small part of the system
before moving on to the next increment, there is usually a lack of overall
consideration of the business problem and technical requirements for the
overall system.
2. Since some modules will be completed much earlier than others, well-
defined interfaces are required.
3. Difficult problems tend to be pushed to the future to demonstrate early
success to management.
25. 3 – Incremental
Situations where most appropriate:
1. Large projects where requirements are not well understood or are changing
due to external changes, changing expectations, budget changes or rapidly
changing technology.
2. Web information systems (WIS) and event-driven systems.
3. Leading-edge applications.
26. 3 – Incremental
Situations where least appropriate:
1. Very small projects of very short duration.
2. Integration and architectural risks are very low.
3. Highly interactive applications where the data for the project already exists
(completely or in part), and the project largely comprises analysis or
reporting of the data.
27. 4 – Spiral
Framework Type: Combination Linear and Iterative
Basic Principles:
1. Focus is on risk assessment and on minimizing project risk by breaking a
project into smaller segments and providing more ease-of-change during the
development process, as well as providing the opportunity to evaluate risks
and weigh consideration of project continuation throughout the life cycle.
2. “Each cycle involves a progression through the same sequence of steps, for
each portion of the product and for each of its levels of elaboration, from an
overall concept-of-operation document down to the coding of each individual
program.” (Boehm, 1986)
28. 4 – Spiral
Basic Principles:
3. Each trip around the spiral traverses four basic quadrants:
(1) determine objectives, alternatives, and constraints of the iteration;
(2) evaluate alternatives; identify and resolve risks;
(3) develop and verify deliverables from the iteration; and
(4) plan the next iteration. (Boehm, 1986 and 1988)
4. Begin each cycle with an identification of stakeholders and their win
conditions, and end each cycle with review and commitment. (Boehm, 2000)
29. 4 – Spiral
Strengths:
1. Enhances risk avoidance.
2. Useful in helping to select the best methodology to follow for development of
a given software iteration, based on project risk.
3. Can incorporate Waterfall, Prototyping, and Incremental methodologies as
special cases in the framework, and provide guidance as to which
combination of these models best fits a given software iteration, based upon
the type of project risk. For example, a project with low risk of not meeting
user requirements, but high risk of missing budget or schedule targets would
essentially follow a linear Waterfall approach for a given software iteration.
Conversely, if the risk factors were reversed, the Spiral methodology could
yield an iterative Prototyping approach.
30. 4 – Spiral
Weaknesses:
1. Challenging to determine the exact composition of development
methodologies to use for each iteration around the Spiral.
2. Highly customized to each project, and thus is quite complex, limiting
reusability.
3. A skilled and experienced project manager is required to determine how to
apply it to any given project.
4. There are no established controls for moving from one cycle to another
cycle. Without controls, each cycle may generate more work for the next
cycle.
5. There are no firm deadlines. Cycles continue with no clear termination
condition, so there is an inherent risk of not meeting budget or schedule.
31. 4 – Spiral
Weaknesses:
6. Possibility exists that project ends up implemented following a Waterfall
framework.
32. 4 – Spiral
Situations where most appropriate: :
1. Real-time or safety-critical systems.
2. Risk avoidance is a high priority.
3. Minimizing resource consumption is not an absolute priority.
4. Project manager is highly skilled and experienced.
5. Requirement exists for strong approval and documentation control.
6. Project might benefit from a mix of other development methodologies.
7. A high degree of accuracy is essential.
8. Implementation has priority over functionality, which can be added in later
version.
33. 4 – Spiral
Situations where least appropriate: :
1. Risk avoidance is a low priority.
2. A high degree of accuracy is not essential.
3. Functionality has priority over implementation.
4. Minimizing resource consumption is an absolute priority.
34. 5 – Rapid Application Development
Framework Type: Iterative
Basic Principles:
1. Key objective is for fast development and delivery of a high quality system at
a relatively low investment cost.
2. Attempts to reduce inherent project risk by breaking a project into smaller
segments and providing more ease-of-change during the development
process.
3. Aims to produce high quality systems quickly, primarily through the use of
iterative Prototyping (at any stage of development), active user involvement,
and computerized development tools. These tools may include Graphical
User Interface (GUI) builders, Computer Aided Software Engineering
(CASE) tools, Database Management Systems (DBMS), fourth-generation
programming languages, code generators, and object-oriented techniques.
35. 5 – Rapid Application Development
Basic Principles:
3. Aims to produce high quality systems quickly, primarily through the use of
iterative Prototyping (at any stage of development), active user involvement,
and computerized development tools. These tools may include Graphical
User Interface (GUI) builders, Computer Aided Software Engineering
(CASE) tools, Database Management Systems (DBMS), fourth-generation
programming languages, code generators, and object-oriented techniques.
4. Key emphasis is on fulfilling the business need, while technological or
engineering excellence is of lesser importance.
36. 5 – Rapid Application Development
Basic Principles:
5. Project control involves prioritizing development and defining delivery
deadlines or “time boxes”. If the project starts to slip, emphasis is on
reducing requirements to fit the time box, not in increasing the deadline.
6. Generally includes Joint Application Development (JAD), where users are
intensely involved in system design, either through consensus building in
structured workshops, or through electronically facilitated interaction.
7. Active user involvement is imperative.
8. Iteratively produces production software, as opposed to a throwaway
prototype.
37. 5 – Rapid Application Development
Basic Principles:
9. Produces documentation necessary to facilitate future development and
maintenance.
10.Standard systems analysis and design techniques can be fitted into this
framework.
38. 5 – Rapid Application Development
Strengths:
1. The operational version of an application is available much earlier than with
Waterfall, Incremental, or Spiral frameworks.
2. Because RAD produces systems more quickly and to a business focus, this
approach tends to produce systems at a lower cost.
3. Engenders a greater level of commitment from stakeholders, both business
and technical, than Waterfall, Incremental, or Spiral frameworks. Users are
seen as gaining more of a sense of ownership of a system, while developers
are seen as gaining more satisfaction from producing successful systems
quickly.
4. Concentrates on essential system elements from user viewpoint.
5. Provides the ability to rapidly change system design as demanded by users.
39. 5 – Rapid Application Development
Strengths:
6. Produces a tighter fit between user requirements and system specifications.
7. Generally produces a dramatic savings in time, money, and human effort.
40. 5 – Rapid Application Development
Weaknesses:
1. More speed and lower cost may lead to lower overall system quality.
2. Danger of misalignment of developed system with the business due to
missing information.
3. Project may end up with more requirements than needed (gold-plating).
4. Potential for feature creep where more and more features are added to the
system course of dev over the development.
5. Potential for inconsistent designs within and across systems.
6. Potential for violation of programming standards related to inconsistent
naming conventions and inconsistent documentation.
7. Difficulty with module reuse for future systems.
8. Potential for designed system to lack scalability.
41. 5 – Rapid Application Development
Weaknesses:
9. Potential for lack of attention to later system administration needs built into
system.
10.High cost of commitment on the part of key user personnel.
11.Formal reviews and audits are more difficult to implement than for a
complete system.
12.Tendency for difficult problems to be pushed to the future to demonstrate
early success to management.
13.Since some modules will be completed much earlier than others, well-
defined interfaces are required.
42. 5 – Rapid Application Development
Situations where most appropriate:
1. Project is of small-to-medium scale and of short duration (no more than 6
man-years of development effort).
2. Project scope is focused, such that the business objectives are well defined
and narrow.
3. Application is highly interactive, has a clearly defined user group, and is not
computationally complex.
4. Functionality of the system is clearly visible at the user interface.
5. Users possess detailed knowledge of the application area.
6. Senior management commitment exists to ensure end-user involvement.
7. Requirements of the system are unknown or uncertain.
43. 5 – Rapid Application Development
Situations where most appropriate:
8. It is not possible to define requirements accurately ahead of time because
the situation is new or the system being employed is highly innovative.
9. Team members are skilled both socially and in terms of business.
10.Team composition is stable; continuity of core development team can be
maintained.
11. Effective project control is definitely available.
12.Developers are skilled in the use of advanced tools.
13.Data for the project already exists (completely or in part), and the project
largely comprises analysis or reporting of the data.
14.Technical architecture is clearly defined.
15.Key technical components are in place and tested.
44. 5 – Rapid Application Development
Situations where most appropriate:
16.Technical requirements (e.g., response times, throughput, database sizes,
etc.) are reasonable and well within the capabilities of the technology being
used. Targeted performance should be less than 70% of the published
limits of the technology.
17.Development team is empowered to make design decisions on a day-to-day
basis without the need for consultation with their superiors, and decisions
can be made by a small number of people who are available and preferably
co-located.
45. 5 – Rapid Application Development
Situations where least appropriate:
1. Very large, infrastructure projects; particularly large, distributed1.
information systems such as corporate-wide databases.
2. Real-time or safety-critical systems.
3. Computationally complex systems, where complex and voluminous data
must be analyzed, designed, and created without the scope of the project.
4. Project scope is broad and the business objectives are obscure.
5. Applications in which the functional requirements have to be fully specified
before any programs are written.
6. Many people must be involved in the decisions on the project, a nd the
decision makers are not available on a timely basis or they are
geographically dispersed.
46. 5 – Rapid Application Development
Situations where least appropriate:
7. The project team is large or there are multiple teams whose work needs to
be coordinated.
8. When user resource and/or commitment is lacking.
9. There is no project champion at the required level to make things happen.
10.Many new technologies are to be introduced within the scope of the project,
or the technical architecture is unclear and much of the technology will be
used for the first time within the project.
11.Technical requirements (e.g., response times, throughput, database sizes,
etc.) are tight for the equipment that is to be used.
47. References:
1. “System Development Methodologies for Web Enabled E-Business: A
Customization Paradigm”; Linda Night, Theresa Steinbach, and Vince
Kellen; November 2001;
(http://www.kellen.net/SysDev.htm)
2. “A Survey of System Development Process Models”; Darryl Green and Ann
DiCaterino; Center for Technology in Government; February 1998;
(http://www.ctg.albany.edu/publications/reports/survey_of_sysdeev)
3. “Rapid Application Development: A Review and Case Study”; Paul Beynon-
Davies; Kane Thompson Centre; December 1998;
(http://www.comp.glam.ac.uk/SOC_Server/research/gisc/RADbrf1.htm)
48. References:
4. “Introduction to Systems Analysis, Topic 19, Rapid Application
Development”; J. R. McBride; Copyright 2002 Prentice-Hall, Inc.;
(http://www.csc.uvic.ca/~jmcbride/c375t19.pdf)
5. “System Development Life Cycle Models and Methodologies”; Paul Fisher,
James McDaniel, and Peter Hughes; Canadian Society for International
Health Certificate Course in Health Information Systems, Module 3: System
Analysis & Database Development, Part 3: Life Cycle Models and
Methodologies;
(http://famed.ufrgs.br/pdf/csih/mod3/Mod_3_3.htm)