Rational Unified Process (RUP) Methodology

The Rational Unified Process attempts to capture many of modern software development's best practices in a form suitable for a wide range of projects and organizations. This process recognizes that the traditional waterfall approach can be inefficient because it idles key team members for extended periods of time. Many feel that the waterfall approach also introduces a lot of risk because it defers testing and integration until the end of the project lifecycle. Problems found at this stage are very expense to fix.

By contrast, RUP represents an iterative approach that is superior for a number of reasons:

It lets you take into account changing requirements which despite the best efforts of all project managers are still a reality on just about every project.
Integration is not one "big bang" at the end; instead, elements are integrated progressively.
Risks are usually discovered or addressed during integration. With the iterative approach, you can mitigate risks earlier.
Iterative development provides management with a means of making tactical changes to the product. It allows you to release a product early with reduced functionality to counter a move by a competitor, or to adopt another vendor for a given technology.
Iteration facilitates reuse; it is easier to identify common parts as they are partially designed or implemented than to recognize them during planning.
When you can correct errors over several iterations, the result is a more robust architecture. Performance bottlenecks are discovered at a time when they can still be addressed, instead of creating panic on the eve of delivery.
Developers can learn along the way, and their various abilities and specialties are more fully employed during the entire lifecycle. Testers start testing early, technical writers begin writing early, and so on.
The development process itself can be improved and refined along the way. The assessment at the end of an iteration not only looks at the status of the project from a product or schedule perspective,
but also analyzes what should be changed in the organization and in the process to make it perform better in the next iteration.

Methodology

the analysis of the principles of methods, rules, and postulates employed by a discipline, the systematic study of methods that are, can be, or have been applied within a discipline
, a particular procedure or set of procedures.

Methodology refers to more than a simple set of methods;[citation needed] rather it refers to the rationale and the philosophical assumptions that underlie a particular study relative to the scientific method. This is why scholarly literature often includes a section on the methodology of the researchers. This section does more than outline the researchers’ methods (as in, We conducted a survey of 50 people over a two-week period and subjected the results to statistical analysis; it might explain what the researchers’ ontological or epistemological views are.

Another key (though arguably imprecise) usage for methodology does not refer to research or to the specific analysis techniques. This often refers to anything and everything that can be encapsulated for a discipline or a series of processes, activities and tasks. Examples of this are found in software development, project management and business process fields. This use of the term is typified by the outline who, what, where, when, and why. In the documentation of the processes that make up the discipline, that is being supported by "this" methodology, that is where we would find the "methods" or processes.

PHASES OF SDLC

Initiation/planning

To generate a high-level view of the intended project and determine the goals of the project. The feasibility study is sometimes used to present the project to upper management in an attempt to gain funding. Projects are typically evaluated in three areas of feasibility: economical, operational, and technical. Furthermore, it is also used as a reference to keep the project on track and to evaluate the progress of the MIS team.The MIS is also a complement of those phases. This phase is also called the analysis phase.

Requirements gathering and analysis

The goal of systems 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 and drawing diagrams to analyze the situation. Analyze project goals, break down functions that need to be created, and attempt to engage users so that definite requirements can be defined. Requirement Gathering sometimes require individual/team from client as well as service provider side to get a detailed and accurate requirements.

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, business process 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.

Build or coding

Modular and subsystem programming code will be accomplished during this stage. Unit testing 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.code will be test in every sections.

Testing

The code is tested at various levels in software testing. Unit, system and user acceptance testing 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 occurs at this stage.

Types of testing:

Data set testing.
Unit testing
System testing
Integration testing
Black box testing
White box testing
Module testing
Regression testing
Automation testing
User acceptance testing
Performance testing
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.

SYSTEM DEVELOPMENT LIFE CYCLE

Software Development Life Cycle in systems engineering and software engineering, 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 systeM: the software development process.

Systems Development Life Cycle (SDLC) is any logical process used by a systems analyst to develop an information system, including requirements, validation, training, and user 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.

Computer systems have become more complex and often (especially with the advent of Service-Oriented Architecture) link multiple traditional systems potentially supplied by different software vendors. To manage this level of complexity, a number of system development life cycle (SDLC) models have been created: "waterfall," "fountain," "spiral," "build and fix," "rapid prototyping," "incremental," and "synchronize and stabilize."

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 Unified Process and Dynamic Systems Development Method, focus on limited project 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 projects and risks to successful and predictable results.

Some agile and iterative proponents confuse the term SDLC with sequential or "more traditional" processes; however, SDLC is an umbrella term for all methodologies for the design, implementation, and release of software.

In project management a project has both a life cycle and a "systems development life cycle," during which a number of typical activities occur. The project life cycle (PLC) encompasses all the activities of the project, while the systems development life cycle focuses on realizing the product requirements.