This document provides an overview of system analysis and design. It discusses key concepts in software engineering like the software lifecycle, requirements analysis, design, and testing. The document also contrasts programs with larger software products, defines software engineering as an engineering discipline, and discusses characteristics like using past experience and tradeoffs. It outlines the history of software development techniques and common modern techniques like various lifecycle models, analysis/specification, metrics, quality assurance, and project management.
System Development Life Cycle (SDLC), Types of SDLC | Waterfall Model and Spi...Uttar Tamang ✔
This Slide includes:
#. Meaning of System Development Life Cycle
Process of SDLC
1. System Planning,
2. System Analysis,
3. System Design and Development,
4. System Implementation,
5. System Operation and Support
Types or Models of SDLC
1. Waterfall Model
1.1. Process of Waterfall Model
1.2. Advantages and Disadvantages of Waterfall Model
2. Spiral Model
2.1. Process of Spiral Method
2.2. Spiral Model For System Development
2.3. Advantages and Disadvantages of Spiral Model
System Development Life Cycle (SDLC), Types of SDLC | Waterfall Model and Spi...Uttar Tamang ✔
This Slide includes:
#. Meaning of System Development Life Cycle
Process of SDLC
1. System Planning,
2. System Analysis,
3. System Design and Development,
4. System Implementation,
5. System Operation and Support
Types or Models of SDLC
1. Waterfall Model
1.1. Process of Waterfall Model
1.2. Advantages and Disadvantages of Waterfall Model
2. Spiral Model
2.1. Process of Spiral Method
2.2. Spiral Model For System Development
2.3. Advantages and Disadvantages of Spiral Model
Large software projects cannot be built without some amount of analysis and design. But not all parts of the system require the same amount of design. Some may not require any upfront design at all. Others require a few minutes of architecture discussion; some require weeks of analysis, documents and review. A balance is necessary: too much design and you're delaying the project; too little and you will add technical debt which you'll have to pay in future rewrites and painful maintaining.
How do we decide when design is needed and how much of it is needed? How do other Agile projects do it?
In this talk I discuss what the Agile literature has to say about architecture and how we can answer this question.
Software engineering is an engineering branch associated with development of software product using well-defined scientific principles, methods and procedures. The outcome of software engineering is an efficient and reliable software product.
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Large software projects cannot be built without some amount of analysis and design. But not all parts of the system require the same amount of design. Some may not require any upfront design at all. Others require a few minutes of architecture discussion; some require weeks of analysis, documents and review. A balance is necessary: too much design and you're delaying the project; too little and you will add technical debt which you'll have to pay in future rewrites and painful maintaining.
How do we decide when design is needed and how much of it is needed? How do other Agile projects do it?
In this talk I discuss what the Agile literature has to say about architecture and how we can answer this question.
Software engineering is an engineering branch associated with development of software product using well-defined scientific principles, methods and procedures. The outcome of software engineering is an efficient and reliable software product.
7 Habits of Highly Effective Enterprise Risk ManagersAndrew Koh
This Presentation serves as a life inspiration for highly effective enterprise risk managers. It has been greatly inspired by Stephen R. Covey's book, The 7 Habits of Highly Effective People®, has been a top-seller for the simple reason that it ignores trends and pop psychology for proven principles of fairness, integrity, honesty, and human dignity. Enjoy!
MODULE 1 :
Software Product and Process
Introduction –FAQs About Software Engineering,
Definition Of Software Engineering,
Difference Between Software Engineering And Computer Science,
Difference Between Software Engineering And System Engineering,
Software Process,
Software Process Models,
The Waterfall Model,
Incremental Process Models,
Evolutionary Process Models
Spiral Development, Prototyping,
Component Based Software Engineering ,
The Unified Process, Attributes Of Good Software,
Key Challenges Facing By Software Engineering,
Verification – Validation,
Computer Based System,
Business Process Engineering,
Integrated Analysis of Traditional Requirements Engineering Process with Agil...zillesubhan
In the past few years, agile software development approach has emerged as a most attractive software development approach. A typical CASE environment consists of a number of CASE tools operating on a common hardware and software platform and note that there are a number of different classes of users of a CASE environment. In fact, some users such as software developers and managers wish to make use of CASE tools to support them in developing application systems and monitoring the progress of a project. This development approach has quickly caught the attention of a large number of software development firms. However, this approach particularly pays attention to development side of software development project while neglects critical aspects of requirements engineering process. In fact, there is no standard requirement engineering process in this approach and requirements engineering activities vary from situation to situation. As a result, there emerge a large number of problems which can lead the software development projects to failure. One of major drawbacks of agile approach is that it is suitable for small size projects with limited team size. Hence, it cannot be adopted for large size projects. We claim that this approach can be used for large size projects if traditional requirements engineering approach is combined with agile manifesto. In fact, the combination of traditional requirements engineering process and agile manifesto can also help resolve a large number of problems exist in agile development methodologies. As in software development the most important thing is to know the clear customer’s requirements and also through modeling (data modeling, functional modeling, behavior modeling). Using UML we are able to build efficient system starting from scratch towards the desired goal. Through UML we start from abstract model and develop the required system through going in details with different UML diagrams. Each UML diagram serves different goal towards implementing a whole project.
Introduction to Software Engineering, Software Process, Perspective and Specialized Process Models – Introduction to Agility – Agile process – Extreme programming – XP process - Estimation-FP,LOC and COCOMO I and II,Risk Management, Project Scheduling.
Introduction to software engineering
Software products
Why Software is Important?
Software costs
Features of Software?
Software Applications
Software—New Categories
Software Engineering
Importance of Software Engineering
Essential attributes / Characteristics of good software
Software Components
Software Process
Five Activities of a Generic Process framework
Relative Costs of Fixing Software Faults
Software Qualities
Software crisis
Software Development Stages/SDLC
What is Software Verification
Advantages of Software Verification
Advantages of Validation
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2. Outcomes: Knowledge, Skills,
Attitude
Ability to define and describe basic software engineering
concepts such as lifecycle models, metrics, and testing
methods.
Ability to accurately and consistently elicit and
communicate the requirements of a system via a structured
analysis using data flow diagrams.
Ability to design an appropriate set of modules from a
structured analysis, and communicate them in the form of a
structure chart.
Ability to construct the main elements of a project plan.
Ability to use a dictionary-based CASE tool (e.g.
WinA&D) and a project management tool (e.g. MS
Project).
Ability to apply simple metrics and estimation techniques.
3. What is Software
S/W is not just the programs, but also associated
documentation and configuration data (to operate
the program) needed to make the programs
operate correctly.
A S/W system consists of
Number of separate programs
Configuration files used to setup the programs
System documentation – structure of the system
User documentation – how to use the system
4. Programs Vs Software Products
Programs:
Small
Single developer
Single user (author)
Simple user interface
Sparse documentation
No user manual
Ad hoc development
Software Products:
Large
Team of developers
Multiple users (customer)
Complex user interface
Detailed documentation
User manual
Systematic development
5. What is software Engineering?
Software engineering is an engineering discipline,
concerned with all aspects of software production
from early stages of system specification through
maintaining the system.
engineering discipline – make things work by applying
theories, methods and tools where appropriate and also
try to find solutions to problems when there’s no
suitable theories/methods.
all aspects of software production – not just technical,
but project management and development of tools,
methods and theories to support S/W production.
6. Characteristics of Software
Engineering
Software engineering deals with team-based
production of large software systems:
no single person has complete knowledge of all
the details of a software engineering project.
Software engineering borrows from:
computer science & information technology;
electrical & computer engineering;
mathematics & physics;
business & management;
psychology & sociology.
7. Characteristics of Software
Engineering contd.
Modern engineering is based on the
systematic collection of past experience:
methodologies; techniques; guidelines.
It involves tradeoffs between alternatives:
a pragmatic approach to cost-effectiveness;
a rigorous approach to quality and safety!
It uses a variety of quantitative techniques
with a sound theoretical basis:
yet many SE techniques are just rules of thumb!
10. Software Engineering History
1950s: Early Programming
Early 1960s: High Level languages and
Control flow design
Late 1960s: The demise of GOTO and
Structured programming
Early 1970s: Data Structure Design
Late 1970s: Structured Analysis
1980s:Object Oriented Design
12. Modern SE Techniques
In addition to software design, many other SE
techniques have evolved:
analysis & specification techniques;
debugging & testing techniques;
software metrics (used to measure SE);
software project management;
software quality assurance;
Most of the above are examined in this unit.
13. Modern SE Techniques –
The software life cycle
A series of phases through which a software
product passes during its lifetime, such as:
Feasibility Study;
Requirements Analysis & Specification;
Design;
Implementation (coding);
Testing;
Maintenance.
Many different activities may be carried out in
each phase.
14. Life Cycle (process) Models
A program is developed by a single
programmer who is free to make decisions.
A software product is developed by a team of
software engineers:
there must be agreement between team members
about what to do when;
communication is essential – breakdown will
quickly lead to chaos project failure.
A software development team must identify a
suitable life cycle model and stick to it!
15. Life Cycle (process) Models
A software life cycle (process) model:
is a descriptive and diagrammatic model of
the life cycle of a software product;
identifies all the activities and phases
necessary for software development;
establishes a precedence ordering among
the different activities.
Life cycle models encourage systematic
and disciplined software development.
16. Life Cycle (process) Models
Examples of well-known process models:
classical waterfall model;
iterative waterfall model;
prototyping model;
incremental model;
spiral model.
17. References
Essential Reading:
Pressman – Chapter 1.
Dijkstra, E: 1968. “Goto statement
considered harmful.” Communications of
the ACM: vol 11, no 3, pp 147-148.
Background Reading:
Pfleeger – Chapter 1;
Sommerville – Chapter 1.