Normative Information Model-based Systems Analysis and Design (NIMSAD)
MM
A Structured System Analysis and Design Method (SSADM) and Dynamic System Development Method (DSDM) Comparison
Normative Information Model-based Systems Analysis and Design (NIMSAD)
MM
A Structured System Analysis and Design Method (SSADM) and Dynamic System Development Method (DSDM) Comparison
08
Fall
08
Fall
Table of Contents Introduction 1 Structured System Analysis and Design Method (SSADM) 3 Dynamic Systems Development Method (DSDM) 5 Normative Information Model-based Systems Analysis and Design (NIMSAD) 7 Methodology Context 8 Use Situation 8 Start of Methodology Use 9 Customers and Problem Owners 10 Context Description 10 Culture and Politics of
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Areas of consideration are the “hardware architectures, software to use, the cost of the implementation, the staffing required, the physical limitations, the distribution including any networks which that may require and the overall format of the human computer interface” (Wikipedia, 2012). From that, a technical system is chosen.
Stage 5: Logical Design
Here, the logical design is focused on the requirements for human computer interface. The end products are a “data catalog, required logical data structure and logical process model” (Wikipedia, 2012).
Stage 6: Physical Design
All logical requirements are converted to descriptions of system hardware and software (Wikipedia, 2012). “Logical data structure is converted into a physical architecture in terms of database structures” (Wikipedia, 2012).
Dynamic Systems Development Method (DSDM)
DSDM is an agile development method that is based on Rapid Application Development (RAD). It uses an iterative and incremental approach to system development. Its main goals are to accommodate changing requirements and meet business needs on time and in budget.
DSDM implementation includes 9 essential principals: active user involvement, empowered users or teams, focus on frequent delivery, business fitness criterion for accepted deliverables, iterative and incremental development, reversible changes during development, requirements base lined at high level, integrated
The data structure represents the logical relationships between data elements. In addition the data also determines the organizational structure, access methods, and alternative processing assosiativitas level for information.
Cashman, G. B., Rosenblatt, H. J., & Shelly, G. B. (2013). Systems Analysis and Design (10th ed.). Boston, MA: Thomson - Course Technology.
This consists of hardware/software performance, the characteristics of information and decision-making support provided to the user, system interface characteristics (Tan, Payton, & Tan, 2010, p. 236). The system interface, one of the major factors in system design, can determine if the system is easy to operate for experienced and unexperienced users. Based on their design, HMIS should be designed in a way that the end-users organize themselves, they should be able to incorporate approving factors (like graphics and color), and should have previous users’ knowledge in
These models are used to design the internal schema of a database, represent the data tables, the data columns of those tables, and the relationships between the tables. The physical data model shows the technical details for implementation as a database or data structure. This model also represents a way in which data is physically stored.
Logic models represent a visual way of expressing the rationale or thought behind a program. Two other forms of expression may help concurrently support the development of a logic model, or accompany the model if it is to be communicated through written materials.
Logical and physical models represent the key elements and processes of the software development. The logical model describes the processes, and data, in as much detail as possible, without giving regard to how the system will be implemented. Logical data models include
Agile processes do not devote much time up front to formal system specifications, but rather relies on continuous communication with the customer throughout the development process. The process accounts for the fact that needs often change or cannot be fully developed early on and is flexible to this. (+)
In all information systems, data resources must be organized and structured in some logical manner, so that they can be:
(a) A data model to explain its functional requirements and to produce a formal description
“A logic model is nothing more than a concept map that visually describe the logic of how your program is suppose to work” (Grinnell, Gabor, Unrau, & Grinnell,
“Systems analysis applies scientific methods to analyze large and complex systems.” (bad definition in my opinion) Policy Analysis of Multi-Actor Systems / Bert Enserink, Leon Hermans, Jan Kwakkel, Wil Thissen, Joop Koppenjan and Pieter Bots
Here I want to discuss what is System analysis and design, when and where the concepts are used and how to overcome the problems using these concepts. The methodology of using characterizing the parts, structural engineering, interfaces and information for a framework to fulfil the decided necessities is said as system design. This course is helpful in developing the designing and analysing skills. Overall, system analysis and design is said as analysing and designing the different process.
System development can generally be thought of having two major components: systems analysis and systems design. In System Analysis more emphasis is given to understanding the details of an existing system or a proposed one and then deciding whether the proposed system is desirable or not and whether the existing system needs improvements. Thus, system analysis is the process of investigating a system, identifying problems, and using the information to recommend improvements to the system. System design is the process of planning a new business system or one to replace or complement an existing system.
The purpose of this report is to give information on the subject known as Logical reasoning and its use in Computer Science and computers in general. A historical background behind logic and Logical reasoning is firstly given, followed by an overview of the modern subject and the types it’s divided into. The types are then explained. The overlap between the field of logic and that of computer science is also given an explanation. The report ends with a brief overview on the subject and its tie to computer science and computing.
The interview session has been done by include an open-ended and closed-ended question which are related to the implemented project. Next, sampling technique is executed by system analyst who does evaluation to the current system or prototype. These processes give feedback in evaluation form that filled after tested the system. Lastly, observation is performed by using questionnaire form. According to Burch (1992), the questionnaire is analyzed and transform into structured form that easy to understand. After all information has been collected, structuring of system requirement takes place. It focused on development process modeling which perform “graphically representing the process, or actions, that capture, manipulate, store, and distribute data between a system and environment” (Hoffer, George, & Valacich, 2012, p. 182). In this step, Data flow diagram (DFD) is structured by system analyst using special tools and techniques to create a decision table. According to Hoffer, George and Valacich (2012), decision table is a “diagram of process logic where the logic is reasonably complicated” (p. 200). This table is useful to help system analyst to make a decision toward the project. Then all information’s gained from this phase are documented in System Analysis Report (SAR) that acts as a guideline or reference to the future system development project (Burch, 1992).