Mcs-014-Ignou Assignment Guru PDF

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BCA & MCA (IGNOU) ignouassignmentguru MCS-014 System requirements specification (SRS) 1. Introduction about the system Purpose 2. Aim and objectives 3. Function requirement  Hardware Requirement processor 2 ghz RAM :- 2gb Hard Disk 160 gb  Software Requirement Front end :- visual s...

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MCS-014

System requirements specification (SRS) 1. Introduction about the system Purpose 2. Aim and objectives 3. Function requirement  Hardware Requirement processor 2.2 ghz RAM :- 2gb Hard Disk 160 gb  Software Requirement Front end :- visual studio .net 2010 Back end :- MS-sql server 2010 Framework 4.0 Word process :- ms word 2010 4. System Analysis Model(SDLC) systems development life cycle waterfall model

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This model is simple and easy to understand and use. It is easy to manage due to the rigidity of the model – each phase has specific deliverables and a review process. In this model phases are processed and completed one at a time. Phases do not overlap. Waterfall model works well for smaller projects where requirements are very well understood.

Disadvantages of waterfall model:      

Once an application is in the testing stage, it is very difficult to go back and change something that was not well-thought out in the concept stage. No working software is produced until late during the life cycle. High amounts of risk and uncertainty. Not a good model for complex and object-oriented projects. Poor model for long and ongoing projects. Not suitable for the projects where requirements are at a moderate to high risk of changing.

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Advantages of waterfall model:

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5. System design Number of modules A. B. C. D. E.

Input requirement, Output requirements, Storage requirements, Processing requirements, System control and backup or recovery.

6. Details of modules 7. Data structure of the system A data structure is a specialized format for organizing and storing data 8. Future scope 9. Limitation 10. Report

DFD

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E-R diagram library Management System

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MIS Management information system (MIS) refers to the processing of data through computers to manage and support managerial decisions within an organization.

Decision Support System Decision Support System (DSS) helps to automate routine decision-making functions by managers. Structured decision is easy to program. Various statistical and analytical models are used to provide decision support to the managers.

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The following are the characteristics of Management Information Systems (MIS): • Provides reports to management usually in semi-structured format ( in detailed, summary, and exception); • Usually uses shared database from many sources; • Often based on management or statistical models; • Information presented in both textual and graphical forms, but more often in graphical format; • Provides information on trend analysis, exception reporting and what-if-analysis. It allows the user to ask questions such as , what if we increase price by 10%, the effect on sales of the product? If inflation increases by 5 per cent what will be the effect on the sales forecast?

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Management Information System (MIS) helps decision-making process of managers. Interpretation of data and interface with external data base is required due to broad nature of top management functions.

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Computer Aided Software Engineering (CASE)

Logical Database Design Data modeling is used for logical database design. A conceptual model of data used in an application is obtained by using an entity relationship model (E-R model ). E-R model assists in designing relational databases. A relational database consists of a collection of relations relevant for a specified application. A relation is a table which depicts an entity set. Each column in the relation corresponds to an attribute of the entity. Each row contains a member of the entity set. Normalization is a procedure used to transform a set of relations into another set which has some desirable properties. Normalization ensures that data in the database are not unnecessarily duplicated. It also ensures that addition and

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Computer-aided software engineering (CASE) is the domain of software tools used to design and implement applications. CASE tools are similar to and were partly inspired by computer-aided design (CAD) tools used for designing hardware products.

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deletion of entity rows (or tuples) or change of individual attribute values do not lead to accidental loss of data or errors in database. The steps to be followed during physical design are given below: • Designing physical files and databases — describes how data will be stored and accessed in secondary computer memory and how the quality of data will be ensured. • Designing system and program structure — describes the various programs and program modules that correspond to data flow diagrams and other documentation developed in earlier phases of lifecycle. • Designing distributed processing strategies — describes how your system will make data and processing available to users on computer networks within the capabilities of existing computer networks.

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Reverse engineering is the process of recreation of model based on existing code. First, the existing code is scanned to generate the model. Then the model can be fine tuned in accordance with requirements. Reverse engineering allows developers to create model for old systems, which were never modeled. It analyses existing software with purpose of understanding its design and specification. Reverse engineering tools read program source code and create graphical and textual representation of design

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Forward engineering is the process of building from a high-level model or concept to build in complexities and lower-level details. This type of engineering has different principles in various software and database processes.

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Reengineering It is a process of software development which is done to improve the maintainability of a softwaresystem. Technical Definition: Software Re- engineering is the examination and alteration of a system to reconstitute it in a new form. This process encompasses a combination of sub-processes such as reverse Coupling: Modules should be loosely coupled. It means that modules should have little dependence on other modules in a system. Cohesion: Modules should be highly cohesive. It means that modules should carry out a single processing function. FACT FINDING TECHNIQUES To learn the functions of the existing system, systems analyst needs to collect data related to the existing system. Usually, the data related to organization, staff, documents used, formats used in the input and output processes is collected. This information is obtained through interviews, group discussions, site visits, presentations, and questionnaires.

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Definition of systems analysis. : the act, process, or profession of studying an activity (such as a procedure, a business, or a physiological function) typically by mathematical means in order to define its goals or purposes and to discover operations and procedures for accomplishing them most efficiently

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system analysis

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