software development life cycle

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презентация powerpoint software development life cycle system analysis what is sdlc a framework that describes the activities performed at each stage of a software development project approaches to audit of system development process concurrent audit post-implementation audit general audit normative models of the system development process system development life cycle approach sociotechnical design approach political approach soft-systems approach prototyping approach contingency approach normative models of the system development process phase – i preliminary investigation phase – i preliminary investigation tasks what is the problem determine if a new system is needed whether an alternative system will solve the problem results need for improving the existing system is recognised phase-ii feasibility study phase-ii feasibility study tasks evaluate alternatives based upon economic feasibility do benefits justify costs net present value technical feasibility is reliable technology and training available operational feasibility will the management and users support it value analysis phase-ii feasibility study …

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culture define boundaries of the candidate system data collection or data gathering structured systems analysis and design methodology (ssad) a specific technique for systems analysis that covers all activities from initial understanding of the problem through to specification and high-level design of the software system. is a methodology (def. a system of ways of doing things especially regular and orderly procedures), used in the analysis and design stages of systems development. structured systems analysis and design methodology (ssad) the success of ssadm may lie in the fact that it does not rely on a single technique. each of the three system models provides a different viewpoint of the same system, each of which are required to form a complete model of the system. ssadm revolves around the use of three key techniques, namely logical data modeling, data flow modeling entity/event modeling. structured systems analysis logical data modeling this is the …

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red systems analysis structured systems analysis entity event modeling this is the process of identifying, modeling and documenting the business events which affect each entity and the sequence in which these events occur. an entity/event model consists of a set of entity life histories (one for each entity) and appropriate supporting documentation. data modeling logical versus physical database modeling after all business requirements have been gathered for a proposed database, they must be modeled. models are created to visually represent the proposed database so that business requirements can easily be associated with database objects to ensure that all requirements have been completely and accurately gathered. data modeling different types of diagrams are typically produced to illustrate the business processes, rules, entities, and organizational units that have been identified. these diagrams often include entity relationship diagrams, process flow diagrams, and server model diagrams. two types of data modeling are as follows: …

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articular business. data modeling typical deliverables of logical modeling include entity relationship diagrams business process diagrams (hierarchical view of processes) user feedback documentation data modeling note logical modeling affects not only the direction of database design, but also indirectly affects the performance and administration of an implemented database. when time is invested performing logical modeling, more options become available for planning the design of the physical database. data modeling physical modeling involves the actual design of a database according to the requirements that were established during logical modeling logical modeling mainly involves gathering the requirements of the business, with the latter part of logical modeling directed toward the goals and requirements of the database. physical modeling deals with the conversion of the logical, or business model, into a relational database model. data modeling when physical modeling occurs, objects are being defined at the schema level. a schema is a group …

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oft systems hard system analysis hard systems (hs) involves simulations, often using computers and the techniques used in operations research. hard systems look at the “how?” meaning, how to best achieve and test the selected option of development and analysis hs have an explicit objective governed by fixed rules such as those encountered in decision making. hard system analysis operational research is a hard, well defined system. examples of areas that apply hard systems methodology are: project management forecasting simulation mathematical programming decision theory another characteristic of hard systems that it is: stochastic – statistically based on probability. deterministic – fixed inputs and known outputs soft system analysis soft systems methodologies (ssm) are used to tackle systems that cannot easily be quantified, especially those involving people interacting with each other or with "systems". useful for understanding motivations, viewpoints, and interactions but, naturally, it doesn't give quantified answers. soft systems looks …

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презентация powerpoint software development life cycle system analysis what is sdlc a framework that describes the activities performed at each stage of a software development project approaches to audit of system development process concurrent audit post-implementation audit general audit normative models of the system development process system development life cycle approach sociotechnical design approach political approach soft-systems approach prototyping approach contingency approach normative models of the system development process phase – i preliminary investigation phase – i preliminary investigation tasks what is the problem determine if a new system is needed whether an alternative system will solve the problem results need for improving the existing system is recognised phase-...

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