This document provides an overview of software engineering. It begins by defining software engineering as the application of engineering principles and methods to the development of software. It then discusses some key aspects of software engineering like the software development life cycle, software project management, and paradigms. Finally, it outlines some important characteristics of good software like usability, efficiency, correctness, portability and maintainability.
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
An introduction to software engineering, based on the first chapter of "A (Partial) Introduction to Software Engineering
Practices and Methods" By Laurie Williams
The quality of software systems may be expressed as a collection of Software Quality Attributes. When the system requirements are defined, it is essential also to define what is expected regarding these quality attributes, since these expectations will guide the planning of the system architecture and design.
Software quality attributes may be classified into two main categories: static and dynamic. Static quality attributes are the ones that reflect the system’s structure and organization. Examples of static attributes are coupling, cohesion, complexity, maintainability and extensibility. Dynamic attributes are the ones that reflect the behavior of the system during its execution. Examples of dynamic attributes are memory usage, latency, throughput, scalability, robustness and fault-tolerance.
Following the definitions of expectations regarding the quality attributes, it is essential to devise ways to measure them and verify that the implemented system satisfies the requirements. Some static attributes may be measured through static code analysis tools, while others require effective design and code reviews. The measuring and verification of dynamic attributes requires the usage of special non-functional testing tools such as profilers and simulators.
In this talk I will discuss the main Software Quality attributes, both static and dynamic, examples of requirements, and practical guidelines on how to measure and verify these attributes.
An introduction to software engineering, based on the first chapter of "A (Partial) Introduction to Software Engineering
Practices and Methods" By Laurie Williams
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software Engineering is the set of processes and tools to develop software. Software Engineering is the combination of all the tools, techniques, and processes that used in software production. Therefore Software Engineering encompasses all those things that are used in software production like :
Programming Language
Programming Language Design
Software Design Techniques
Tools
Testing
Maintenance
Development etc.
These days object-oriented programming is widely being used. If programming languages will not support object-orientation then it will be very difficult to implement object-oriented design using object-oriented principles. All these efforts made the basis of software engineering.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software Engineering is the set of processes and tools to develop software. Software Engineering is the combination of all the tools, techniques, and processes that used in software production. Therefore Software Engineering encompasses all those things that are used in software production like :
Programming Language
Programming Language Design
Software Design Techniques
Tools
Testing
Maintenance
Development etc.
These days object-oriented programming is widely being used. If programming languages will not support object-orientation then it will be very difficult to implement object-oriented design using object-oriented principles. All these efforts made the basis of software engineering.
It's about software engineering diversity. To build a software at first we fixed our requirements and according to our requirements we have to choose perfect software design and implementation techniques. For different software we have to select different kinds of techniques.
this pdf file includes software development life cycle, requirement analysis and specification, project management, design, coding, testing, maintenance and quality reuse and case tools.
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,
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5. 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.
Software project management has wider scope than software engineering process as it involves
communication, pre and post delivery support etc.
Software Engineering Home
6. Let us first understand what software engineering stands for. The term is made of two words,
software and engineering.
Software is more than just a program code. A program is an executable code, which serves some
computational purpose. Software is considered to be collection of executable programming code,
associated libraries and documentations. Software, when made for a specific requirement is called
software product.
Engineering on the other hand, is all about developing products, using well-defined, scientific
principles and methods.
Software Engineering Overview
7. 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.
Software Engineering Overview
8. (IEEE (Institute of Electrical and Electronics Engineer
(1) The application of a systematic, disciplined, quantifiable approach to the development , operation
and maintenance of software; that is, the application of engineering to software.
(2) The study of approaches as in the above statement.
Fritz Bauer, a German computer scientist, defines software engineering as:
Software engineering is the establishment and use of sound engineering principles in order to obtain
economically software that is reliable and work efficiently on real machines.
Software Evolution
This includes the initial development of software and its maintenance and updates, till desired software
product is developed, which satisfies the expected requirements.
IEEE defines software engineering as
9. Evolution starts from the requirement gathering process. After which developers create a prototype of
the intended software and show it to the users to get their feedback at the early stage of software
product development.
Software Evolution
10. Software paradigms refer to the methods and steps, which are taken while designing the software.
There are many methods proposed and are in work today, but we need to see where in the software
engineering these paradigms stand. These can be combined into various categories, though each of
them is contained in one another:
Programming paradigm is a subset of Software design paradigm which is further a subset of Software
development paradigm.
Software Paradigms
11. This Paradigm is known as software engineering paradigms where all the engineering concepts
pertaining to the development of software are applied. It includes various researches and requirement
gathering which helps the software product to build. It consists of –
Requirement gathering
Software design
Programming
Software Development Paradigm
12. Software Design Paradigm
This paradigm is a part of Software Development and includes –
Design
Maintenance
Programming
Programing Paradigm
This paradigm is related closely to programming aspect of software development. This includes –
Coding
Testing
Integration
Software Design Paradigm & Programming Paradigm
13. A software product can be judged by what it offers and how well it can be used. This software must
satisfy on the following grounds:
Operational
Transitional
Maintenance
Operational This tells us how well software works in operations. It can be measured on:
Budget
Usability
Efficiency
Correctness
Functionality
Dependability
Security
Safety
Characteristics of good software
14. Transitional
This aspect is important when the software is moved from one platform to another:
Portability
Interoperability
Reusability
Adaptability
Maintenance
This aspect briefs about how well a software has the capabilities to maintain itself in the ever-changing
environment:
Modularity
Maintainability
Flexibility
Scalability
Characteristics of good software
