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Development Life Cycle

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Model of the Systems Development Life Cycle with the Maintenance bubble highlighted.

The Systems Development Life Cycle (SDLC), or Development Life Cycle in , information systems and , is the process of creating or altering systems, and the models and methodologies that people use to develop these systems. The concept generally refers to computer or information systems.

In software engineering the SDLC concept underpins many kinds of software development methodologies. These methodologies form the framework for planning and controlling the creation of an information [1]: the software development process.

Contents

y 1 Overview y 2 History y 3 Systems development phases o 3.1 Requirements gathering and analysis o 3.2 Design o 3.3 Build or coding o 3.4 Testing o 3.5 Operations and maintenance y 4 Systems development life cycle topics o 4.1 Management and control o 4.2 Work breakdown structured organization o 4.3 Baselines in the SDLC o 4.4 Complementary to SDLC y 5 Strengths and weaknesses y 6 See also y 7 References y 8 Further reading y 9 External links

[edit] Overview

Systems and Development Life Cycle (SDLC) is a process used by a systems analyst to develop an information system, including requirements, validation, training, and user (stakeholder) ownership. Any SDLC should result in a high quality system that meets or exceeds customer expectations, reaches completion within time and cost estimates, works effectively and efficiently in the current and planned Information Technology infrastructure, and is inexpensive to maintain and cost-effective to enhance.[2]

Computer systems are complex and often (especially with the recent rise of -Oriented Architecture) link multiple traditional systems potentially supplied by different software vendors. To manage this level of complexity, a number of SDLC models have been created: "waterfall"; "fountain"; "spiral"; "build and fix"; "rapid prototyping"; "incremental"; and "synchronize and stabilize".[citation needed]

SDLC models can be described along a spectrum of agile to iterative to sequential. Agile methodologies, such as XP and Scrum, focus on light-weight processes which allow for rapid changes along the development cycle. Iterative methodologies, such as Rational and Dynamic Systems Development Method, focus on limited scopes and expanding or improving products by multiple iterations. Sequential or big-design-upfront (BDUF) models, such as Waterfall, focus on complete and correct planning to guide large and risks to successful and predictable results[citation needed]. Other models, such as Anamorphic Development, tend to focus on a form of development that is guided by project scope and adaptive iterations of feature development.

In a project can be defined both with a project life cycle (PLC) and an SDLC, during which slightly different activities occur. According to Taylor (2004) "the project life cycle encompasses all the activities of the project, while the systems development life cycle focuses on realizing the product requirements".[3] [edit] History

The systems development life cycle (SDLC) is a type of methodology used to describe the process for building information systems, intended to develop information systems in a very deliberate, structured and methodical way, reiterating each stage of the life cycle. The systems development life cycle, according to Elliott & Strachan & Radford (2004), "originated in the 1960s to develop large scale functional business systems in an age of large scale business conglomerates. Information systems activities revolved around heavy data processing and number crunching routines".[4]

Several systems development frameworks have been partly based on SDLC, such as the Structured and Design Method (SSADM) produced for the UK government Office of Government Commerce in the 1980s. Ever since, according to Elliott (2004), "the traditional life cycle approaches to systems development have been increasingly replaced with alternative approaches and frameworks, which attempted to overcome some of the inherent deficiencies of the traditional SDLC".[4] [edit] Systems development phases

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The System Development Life Cycle framework provides system designers and developers to follow a sequence of activities. It consists of a set of steps or phases in which each phase of the SDLC uses the results of the previous one.

A Systems Development Life Cycle (SDLC) adheres to important phases that are essential for developers, such as planning, analysis, design, and implementation, and are explained in the section below. Several Systems Development Life Cycle Models exist, the oldest of which ² originally regarded as "the Systems Development Life Cycle" ² is the : a sequence of stages in which the output of each stage becomes the input for the next. These stages generally follow the same basic steps, but many different waterfall methodologies give the steps different names and the number of steps seems to vary between four and seven. There is no one correct Systems Development Life Cycle model. The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again.

The SDLC can be divided into ten phases during which defined IT work products are created or modified. The tenth phase occurs when the system is disposed of and the task performed is either eliminated or transferred to other systems. The tasks and work products for each phase are described in subsequent chapters. Not every project will require that the phases be sequentially executed. However, the phases are interdependent. Depending upon the size and complexity of the project, phases may be combined or may overlap.[5]

[edit] Requirements gathering and analysis

The goal of system analysis is to determine where the problem is in an attempt to fix the system. This step involves breaking down the system in different pieces to analyze the situation, analyzing project goals, breaking down what needs to be created and attempting to engage users so that definite requirements can be defined. sometimes requires individuals/teams from client as well as service provider sides to get detailed and accurate requirements....often there has to be a lot of communication to and from to understand these requirements. Requirement gathering is the most crucial aspect as many times communication gaps arise in this phase and this leads to validation errors and bugs in the software program.

[edit] Design In systems, design functions and operations are described in detail, including screen layouts, business rules, process diagrams and other documentation. The output of this stage will describe the new system as a collection of modules or subsystems.

The design stage takes as its initial input the requirements identified in the approved requirements document. For each requirement, a set of one or more design elements will be produced as a result of interviews, workshops, and/or prototype efforts. Design elements describe the desired software features in detail, and generally include functional hierarchy diagrams, screen layout diagrams, tables of business rules, diagrams, pseudocode, and a complete entity-relationship diagram with a full data dictionary. These design elements are intended to describe the software in sufficient detail that skilled programmers may develop the software with minimal additional input design.

[edit] Build or coding

Modular and subsystem programming code will be accomplished during this stage. and module testing are done in this stage by the developers. This stage is intermingled with the next in that individual modules will need testing before integration to the main project.

[edit] Testing

The code is tested at various levels in . Unit, system and user acceptance testings are often performed. This is a grey area as many different opinions exist as to what the stages of testing are and how much if any iteration occurs. Iteration is not generally part of the waterfall model, but usually some occur at this stage.

Below are the following types of testing:

y Data set testing. y Unit testing y System testing y Integration testing y Black box testing y White box testing y y testing y User acceptance testing y Performance testing y Production process that ensures that the program performs the intended task.

[edit] Operations and maintenance

The deployment of the system includes changes and enhancements before the decommissioning or sunset of the system. Maintaining the system is an important aspect of SDLC. As key personnel change positions in the organization, new changes will be implemented, which will require system updates. [edit] Systems development life cycle topics

[edit] Management and control

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SDLC Phases Related to Management Controls.[6]

The Systems Development Life Cycle (SDLC) phases serve as a programmatic guide to project activity and provide a flexible but consistent way to conduct projects to a depth matching the scope of the project. Each of the SDLC phase objectives are described in this section with key deliverables, a description of recommended tasks, and a summary of related control objectives for effective management. It is critical for the to establish and monitor control objectives during each SDLC phase while executing projects. Control objectives help to provide a clear statement of the desired result or purpose and should be used throughout the entire SDLC process. Control objectives can be grouped into major categories (Domains), and relate to the SDLC phases as shown in the figure.[6]

To manage and control any SDLC initiative, each project will be required to establish some degree of a (WBS) to capture and schedule the work necessary to complete the project. The WBS and all programmatic material should be kept in the ³Project Description´ section of the project notebook. The WBS format is mostly left to the project manager to establish in a way that best describes the project work. There are some key areas that must be defined in the WBS as part of the SDLC policy. The following diagram describes three key areas that will be addressed in the WBS in a manner established by the project manager.[6]

[edit] Work breakdown structured organization The image cannot be displayed. Your computer may not have enough memory to open the image, or the image may have been corrupted. Restart your computer, and then open the file again. If the red x still appears, you may have to delete the image and then insert it again.

Work Breakdown Structure.[6]

The upper section of the Work Breakdown Structure (WBS) should identify the major phases and milestones of the project in a summary fashion. In addition, the upper section should provide an overview of the full scope and timeline of the project and will be part of the initial project description effort leading to project approval. The middle section of the WBS is based on the seven Systems Development Life Cycle (SDLC) phases as a guide for WBS task development. The WBS elements should consist of milestones and ³tasks´ as opposed to ³activities´ and have a definitive period (usually two weeks or more). Each task must have a measurable output (e.g. document, decision, or analysis). A WBS task may rely on one or more activities (e.g. software engineering, systems engineering) and may require close coordination with other tasks, either internal or external to the project. Any part of the project needing support from contractors should have a Statement of work (SOW) written to include the appropriate tasks from the SDLC phases. The development of a SOW does not occur during a specific phase of SDLC but is developed to include the work from the SDLC process that may be conducted by external resources such as contractors and struct.[6]

[edit] Baselines in the SDLC

Baselines are an important part of the Systems Development Life Cycle (SDLC). These baselines are established after four of the five phases of the SDLC and are critical to the iterative nature of the model .[7] Each baseline is considered as a milestone in the SDLC.

y Functional Baseline: established after the conceptual design phase. y Allocated Baseline: established after the preliminary design phase. y Product Baseline: established after the detail design and development phase. y Updated Product Baseline: established after the production construction phase.

[edit] Complementary to SDLC

Complementary Software development methods to Systems Development Life Cycle (SDLC) are:

y y Joint Applications Design (JAD) y Rapid Application Development (RAD) y (XP); extension of earlier work in Prototyping and RAD. y Open Source Development y End-user development y Object Oriented Programming

Comparison of Methodology Approaches (Post, & Anderson 2006)[8] Open SDLC RAD Objects JAD Prototyping End User Source Control Formal MIS Weak Standards Joint User User Time Frame Long Short Medium Any Medium Short Short Users Many Few Few Varies Few One or Two One MIS staff Many Few Hundreds Split Few One or Two None Transaction/DSS Transaction Both Both Both DSS DSS DSS Interface Minimal Minimal Weak Windows Crucial Crucial Crucial Documentation In Vital Limited Internal Limited Weak None and training Objects Integrity and In Vital Vital Unknown Limited Weak Weak security Objects Limited Some Maybe Vital Limited Weak None

[edit] Strengths and weaknesses

Few people in the modern computing world would use a strict waterfall model for their Systems Development Life Cycle (SDLC) as many modern methodologies have superseded this thinking. Some will argue that the SDLC no longer applies to models like Agile computing, but it is still a term widely in use in Technology circles. The SDLC practice has advantages in traditional models of software development, that lends itself more to a structured environment. The disadvantages to using the SDLC methodology is when there is need for iterative development or (i.e. web development or e-commerce) where stakeholders need to review on a regular basis the software being designed. Instead of viewing SDLC from a strength or weakness perspective, it is far more important to take the best practices from the SDLC model and apply it to whatever may be most appropriate for the software being designed.

A comparison of the strengths and weaknesses of SDLC:

Strength and Weaknesses of SDLC [8] Strengths Weaknesses Control. Increased development time. Monitor Large projects. Increased development cost. Detailed steps. Systems must be defined up front. Evaluate costs and completion targets. Rigidity. Documentation. Hard to estimate costs, project overruns. Well defined user input. User input is sometimes limited.

Ease of maintenance. Development and design standards. Tolerates changes in MIS staffing.

An alternative to the SDLC is Rapid Application Development, which combines prototyping, Joint Application Development and implementation of CASE tools. The advantages of RAD are speed, reduced development cost, and active user involvement in the development process.

It should not be assumed that just because the waterfall model is the oldest original SDLC model that it is the most efficient system. At one time the model was beneficial mostly to the world of automating activities that were assigned to clerks and accountants. However, the world of technological evolution is demanding[citation needed] that systems have a greater functionality that would assist help desk technicians/administrators or information technology specialists/analysts. [edit] See also

y Application Lifecycle Management [edit] References

1. ^ SELECTING A DEVELOPMENT APPROACH. Retrieved 27 October 2008. 2. ^ "Systems Development Life Cycle". In: Foldoc(2000-12-24) 3. ^ James Taylor (2004). Managing Information Technology Projects. p.39.. 4. ^ a b Geoffrey Elliott & Josh Strachan (2004) Global Business Information Technology. p.87. 5. ^ US Department of Justice (2003). INFORMATION RESOURCES MANAGEMENT Chapter 1. Introduction. 6. ^ a b c d e U.S. House of Representatives (1999). Systems Development Life-Cycle Policy. p.13. 7. ^ Blanchard, B. S., & Fabrycky, W. .(2006) Systems engineering and analysis (4th ed.) New Jersey: Prentice Hall. p.31 8. ^ a b Post, G., & Anderson, D., (2006). Management information systems: Solving business problems with information technology. (4th ed.). New York: McGraw-Hill Irwin. Further reading

y Blanchard, B. S., & Fabrycky, W. J.(2006) Systems engineering and analysis (4th ed.) New Jersey: Prentice Hall. y Cummings, Haag (2006). Management Information Systems for the Information Age. Toronto, McGraw-Hill Ryerson y Beynon-Davies P. (2009). Business Information Systems. Palgrave, Basingstoke. ISBN 978-0-230-20368-6 y Computer World, 2002, Retrieved on June 22, 2006 from the World Wide Web: y Management Information Systems, 2005, Retrieved on June 22, 2006 from the World Wide Web: y This article was originally based on material from the Free On-line Dictionary of Computing, which is licensed under the GFDL. [edit] External links

The image cannot be displayed. Your computer may not Wikimedia Commons has media related to: Systems Development Life Cycle have enough memory tƦ

y US Department of Education - Lifecycle Management Document y System Development Lifecycle (SDLC) Review Document G23 from the Information Systems Audit and Control Association (ISACA) y The Agile System Development Lifecycle y Software as a Service Application Service Provider Systems Development Lifecycle y Pension Benefit Guaranty Corporation - Information Technology Solutions Lifecycle Methodology y SDLC Industry Interest Group y State of Maryland SDLC y HHS Enterprise Performance Life Cycle Framework y CMS Integrated IT Investment & System Life Cycle Framework y Collection of All SDLC Models in One Place With External Good Resources y OpenSDLC.org

v ‡ d ‡ e Software Engineering

Requirements analysis ‡ Systems analysis ‡ ‡ Computer Fields programming ‡ ‡ Software testing ‡ ‡

Data modeling ‡ ‡ ‡ ‡ ‡ Software ‡ Software Concepts architecture ‡ Software development methodology ‡ Software development process ‡ ‡ Software quality assurance ‡ ‡

Agile ‡ Aspect-oriented ‡ Object orientation ‡ Ontology ‡ Service orientation Orientations ‡ SDLC

Agile ‡ Iterative model ‡ RUP ‡ Scrum ‡ Spiral Development models model ‡ Waterfall model ‡ XP ‡ V-Model

Automotive SPICE ‡ CMMI ‡ ‡ Models ‡ ‡ Other models ‡ ‡ Systems model ‡

Modeling languages IDEF ‡ UML

Software Kent Beck ‡ Grady Booch ‡ Fred Brooks ‡ ‡ Ward Cunningham engineers ‡ Ole-Johan Dahl ‡ Tom DeMarco ‡ Martin Fowler ‡ C. A. R. Hoare ‡ Watts Humphrey ‡ Michael A. Jackson ‡ Ivar Jacobson ‡ Craig Larman ‡ James Martin ‡ Bertrand Meyer ‡ David Parnas ‡ Winston W. Royce ‡ Colette Rolland ‡ James Rumbaugh ‡ ‡ Edward Yourdon ‡ Victor Basili

Computer science ‡ ‡ Enterprise engineering ‡ History Related fields ‡ Management ‡ Mathematics ‡ Project management ‡ ‡ Software ergonomics ‡ Systems engineering

v ‡ d ‡ e Systems Engineering

Biological systems engineering ‡ ‡ Earth systems engineering and management ‡ Enterprise systems engineering Fields ‡ ‡ ‡ ‡ Space Systems Engineering

Requirements analysis ‡ Functional specification ‡ ‡ Processes Verification and validation ‡

Business process ‡ System ‡ Systems engineering process ‡ System Concepts lifecycle ‡ Systems Development Life Cycle

Languages Language ‡ IDEF

Decision making ‡ Functional modelling ‡ Optimization ‡ Planning ‡ Tools Reliable analysis ‡ Statistical analysis ‡ Systems analysis ‡ ‡ Systems modeling ‡ V-Model ‡ Work breakdown structure

Wernher von Braun ‡ ‡ Arthur David Hall III ‡ Derek Systems engineers Hitchins ‡ Robert E. Machol ‡ ‡ Joseph Francis Shea ‡ John N. Warfield

Control engineering ‡ Computer engineering ‡ ‡ Related fields ‡ Project management ‡ Quality management ‡ Software engineering

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