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System Design and Modeling

System Design and Modeling. Introduction. Analysis is “What to” approach Design is “How to” approach System Design is a process of defining the architecture, components, interfaces, and other components of the system and also the result of that process. Design Objectives. Practicality

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System Design and Modeling

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  1. System Design and Modeling

  2. Introduction • Analysis is “What to” approach • Design is “How to” approach • System Design is a process of defining the architecture, components, interfaces, and other components of the system and also the result of that process.

  3. Design Objectives • Practicality • Efficient • Cost • Flexibility • Security • System design is further divided into: • Physical Design • Logical Design Logical Design PhysicalDesign

  4. Logical Design • Its concerned with the specification of major features of the system. • DFD shows the logical flow of the system. • It describes the input, output, data stores and data flow. • The following are the steps in logical design: • Review the current physical system. • Prepare the output specifications. • Prepare the input specifications. • Prepare the control specifications. • Prepares the logical design walkthrough. • Reviews the benefits, costs, target dates etc.

  5. Physical Design • Tells the programmer exactly what the candidate system must do. • And then the programmer writes the new program or modifies the existing ones. • Produces reports. • The following are the steps in physical design: • Specify the input/output media • Design DB and specify the procedures. • Design physical information flow through the system. • Plan the system implementation. • Devise test and implementation plan. • Update the benefits, costs and system constraints.

  6. System Design • Carried out after the analysis of the system is done. •  Designing of the system includes • making the conceptual layout of the system using various modeling techniques available • The first step after the analysis of the system is making the conceptual design. • Conceptual design consists of two elements: • data model and • functional models.

  7. Data modeling is a technique for organizing and documenting system's data. • Process model is a technique for organizing and documenting a system's processes, inputs, outputs and data stores. • Generally, these models give the following information. • What all processes make up a system? • What data are used in each process? • What data are stored? • What data enter and leave the system?

  8. Process Modeling/Function Modeling • Tools used are • System Flowcharts • DFD • Data dictionary • Decision table • Decision tree • Structure charts • HIPO Diagram

  9. A process specification (PSPEC) can be used to specify the processing details implied by a bubble within a DFD. • The process specification describes the input to a function, the algorithm. • It indicates restrictions and limitations imposed on the process (function), performance characteristics that are relevant to the process, and design constraints that may influence the way in which the process will be implemented. • In other words, process specification is used to describe the inner workings of a process represented in a flow diagram.

  10. The Control Specifications (CSPEC) is used to indicate • (1) how the software behaves when an event or control signal is sensed and • (2) which processes are invoked as a consequence of the occurrence of the event. • The control specification (CSPEC) contains a number of important modeling tools. • The control specification represents the behavior of the system in two ways. • The CSPEC contains a state transition diagram that is sequential specification of behavior. • It also contains a process activation table (PAT) -a combinatorial specification of behavior.

  11. Structure Charts • Prior to programming, the basic infrastructure of the program layout is prepared based on the concepts of modular programming. • In modular programming, the complete system is coded as small independent interacting modules. • Each module is aimed at doing one specific task. • The design for these modules is prepared in the form of structure charts. • A structure chart is a design tool that pictorially shows the relation between processing modules in computer software. • Describes the hierarchy of components modules and the data are transmitted between them.

  12. Structure charts contd.. • Structure charts show the relation of processing modules in computer software. • It is a design tool that visually displays the relationships between program modules. • It shows which module within a system interacts and graphically depicts the data that are communicated between various modules. • Structure charts are developed prior to the writing of program code. • They are not intended to express procedural logic. • This task is left to flowcharts and pseudocode.

  13. Structure Chart Notation • Program modules are identified by rectangles with the module name written inside the rectangle. • Arrows indicate calls, which are any mechanism used to invoke a particular module.

  14. Annotations on the structure chart indicate the parameter that are passed and the direction of the data movement. • We see that modules A and B interact. Data identified as X and Y are passed to module B, which in turn passes back Z.

  15. Data passing • Two types of data are transmitted. • The first, parameter data, are items of data needed in the called module to perform the necessary work. • A small arrow with an open circle at the end is used to note the passing of data parameters. • In addition, control information (flag data) is also passed. Its purpose is to assist in the control of processing by indicating the occurrence of, say, errors or end-of-conditions. • A small arrow with a closed circle indicates the control information. A brief annotation describes the type of information passed. • Structure chart is a tool to assist the analyst in developing software that meets the objectives of good software design.

  16. Modularity • Modularity is a very important feature of any software and allows a program to be intellectually manageable. • The modular structure should reflect the structure of the problem. It should have the following properties. • Intra-module property: Cohesion • Inter module property: Coupling

  17. HIPO Diagrams (hierarchy plus input-process-output) • It used by systems analysts to present a high-level view of the functions performed by a system, as well as the decomposition of functions into sub functions, and so on. • A useful modeling tool, because they look like the familiar organization chart that describes the hierarchy of managers, sub managers, and so on. • However, the diagram does not show the data used by, or produced by the system. • HIPO Diagram also consists of: VTOC (visual table of contents). • Each function represented by a rectangular box can be described in further detail in an IPO (or input-process-output) diagram; a typical IPO diagram

  18. VTOC Diagram

  19. IPO Diagram

  20. Data Modeling in system analysis (Conceptual Data Modeling) • The data model focuses on what data should be stored in the database while the function model deals with how the data is processed.  • The Data Stores from the DFD are picked up and based on the data being stored by them the Data Model of the system is prepared. • We use ER Diagrams for data modeling.

  21. Designing Distributed Systems • Broad classification of 3 types of systems in the market: • Personal system • Embedded system • Distributed system • In a distributed system information processing is distributed over several computers rather than being done on a single computer. “A distributed system consists of a collection of autonomous computers, connected through a network and distribution middleware, which enables computers to coordinate their activities and to share the resources of the system, so that users perceive the system as a single, integrated computing facility.”

  22. Characteristics of distributed systems Certain common characteristics can be used to assess distributed systems • Resource Sharing Ability to use any hardware, software or data anywhere in the system. • Openness Openness is concerned with extensions and improvements of distributed systems. • Concurrency Components in distributed systems are executed in concurrent processes.

  23. • Scalability Accommodate more users and respond faster. • Fault Tolerance H/w, s/w and network failure • Transparency Distributed systems should be perceived by users and application programmers as a whole rather than as a collection of cooperating components.

  24. Advantages of distributed system • Performance • Reliability • Incremental growth • Sharing of data/resource • Communication

  25. Disadvantages of distributed system • Complexity. • Manageability. • Unpredictability: response time depends on overall load of the network. • Security.

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