01 fse software&sw-engineering

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B. Computer Sci. (SE) (Hons.) CSEB233: Fundamentals of Software Engineering Software & Software Engineering

Transcript of 01 fse software&sw-engineering

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B. Computer Sci. (SE) (Hons.)

CSEB233: Fundamentals of Software Engineering

Software & Software Engineering

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Lesson Objectives

Define ‘Software’ Discuss issues related to Software

Define ‘Software Engineering’ (SE) Describe Polya’s Four Essence of SE

Practices Explain Hooker’s Seven SE Principles Discuss several myths of SE

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Software & Software Engineering

What is Software?

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What is Software?

Software is developed or engineered, it is not manufactured in the classical sense

Software does not "wear out" Although the industry is moving toward

component-based construction, most software continues to be custom-built

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Wear vs. Deterioration

idealized curve

change

actual curve

Failurerate

Time

increased failurerate due to side effects

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Software Applications

System software Application software Engineering/scientific software Embedded software Product-line software WebApps (Web applications) AI software

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Software — New Categories

Open world computing pervasive, distributed

computing Ubiquitous computing

wireless networks Netsourcing

the Web as a computing engine

Open source “free” source code open to

the computing community a blessing, but also a

potential curse! Also

Data mining Grid computing Cognitive machines Software for

nanotechnologies

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Legacy Software

Why must it change? Software must be adapted to meet the needs of

new computing environments or technology Software must be enhanced to implement new

business requirements Software must be extended to make it

interoperable with other more modern systems or databases

Software must be re-architected to make it viable within a network environment

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Characteristics of WebApps - I

Network Intensiveness A WebApp resides on a network and must serve the needs of a

diverse community of clients Concurrency

A large number of users may access the WebApp at one time Unpredictable load

The number of users of the WebApp may vary by orders of magnitude from day to day

Performance If a WebApp user must wait too long (for access, for server-side

processing, for client-side formatting and display), he or she may decide to go elsewhere

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Characteristics of WebApps - II

Availability Although expectation of 100 percent availability is unreasonable, users of

popular WebApps often demand access on a “24/7/365” basis. Data driven

The primary function of many WebApps is to use hypermedia to present text, graphics, audio, and video content to the end-user.

Content sensitive The quality and aesthetic nature of content remains an important

determinant of the quality of a WebApp. Continuous evolution

Unlike conventional application software that evolves over a series of planned, chronologically-spaced releases, Web applications evolve continuously.

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Characteristics of WebApps - III

Immediacy Although immediacy—the compelling need to get software to

market quickly—is a characteristic of many application domains, WebApps often exhibit a time to market that can be a matter of a few days or weeks

Security Because WebApps are available via network access, it is

difficult, if not impossible, to limit the population of end-users who may access the application

Aesthetics An undeniable part of the appeal of a WebApp is its look and

feel

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Software & Software Engineering

What is Software Engineering?

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Software Engineering

Some realities: a concerted effort should be made to understand

the problem before a software solution is developed

design becomes a pivotal activity software should exhibit high quality software should be maintainable

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Software EngineeringThe Seminal Definition

Software engineering is The establishment and use of sound

engineering principles in order to obtain economically, software that is reliable and works efficiently on real machines

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Software EngineeringThe IEEE Definition

Software Engineering The application of a systematic, disciplined,

quantifiable approach to the development, operation, and maintenance of software; that is, the application of engineering to software

The study of approaches as described above

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A Layered Technology

Software Engineering

a “quality” focus

process model

methods

tools

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A Process Framework

Framework activities work tasks work products milestones & deliverables QA checkpoints

Umbrella Activities

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Framework Activities

Communication Planning Modeling

Analysis of requirements Design

Construction Code generation Testing

Deployment

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Umbrella Activities

Software project management Formal technical reviews Software quality assurance Software configuration management Work product preparation and production Reusability management Measurement Risk management

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Adapting a Process Model

the overall flow of activities, actions, and tasks and the interdependencies among them

the degree to which actions and tasks are defined within each framework activity

the degree to which work products are identified and required

the manner which quality assurance activities are applied

the manner in which project tracking and control activities are applied

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Adapting a Process Model

the overall degree of detail and rigor with which the process is described

the degree to which the customer and other stakeholders are involved with the project

the level of autonomy given to the software team

the degree to which team organization and roles are prescribed

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Software & Software Engineering

Four Essence of SE Practices

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The Essence of SE Practices

Polya suggests: Understand the problem

♦ communication and analysis Plan a solution

♦ modeling and software design Carry out the plan

♦ code generation Examine the result for accuracy

♦ testing and quality assurance

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The Essence of SE Practices1. Understand the Problem

Who has a stake in the solution to the problem? Who are the stakeholders?

What are the unknowns? What data, functions, and features are required to

properly solve the problem? Can the problem be compartmentalized?

Is it possible to represent smaller problems that may be easier to understand?

Can the problem be represented graphically? Can an analysis model be created?

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The Essence of SE Practices 2. Plan the Solution

Have you seen similar problems before? Are there patterns that are recognizable in a potential solution? Is there existing software that implements the data, functions,

and features that are required? Has a similar problem been solved?

If so, are elements of the solution reusable? Can sub-problems be defined?

If so, are solutions readily apparent for the subproblems? Can you represent a solution in a manner that leads to

effective implementation? Can a design model be created?

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The Essence of SE Practices 3. Carry Out the Plan

Does the solution conform to the plan? Is source code traceable to the design model?

Is each component part of the solution provably correct? Has the design and code been reviewed, or

better, have correctness proofs been applied to algorithm?

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The Essence of SE Practices4. Examine the Result

Is it possible to test each component part of the solution? Has a reasonable testing strategy been

implemented? Does the solution produce results that

conform to the data, functions, and features that are required? Has the software been validated against all

stakeholder requirements?

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Software & Software Engineering

Seven General Principles of SE

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Hooker’s General Principles

The Reason It All Exists KISS (Keep It Simple, Stupid!) Maintain the Vision What You Produce, Others Will Consume Be Open to the Future Plan Ahead for Reuse Think!

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Hooker’s General Principles1. The Reason It All Exists

Software exists to provide value to its users All decisions should be made with this in

mind

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Hooker’s General Principles2. Keep It Simple (KISS)

There are many factors to consider in any design effort

Thus, all software design should be as simple as possible but not simpler to ease understanding and maintenance of the software

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Hooker’s General Principles3. Maintain the Vision

A clear vision is essential to the success of a software project

Compromising the architectural vision of a software system weakens and break even well-designed systems

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Hooker’s General Principles4. What You Produce, Others Will Consume

Consume use, maintain, document or depend on

Always specify, design, and implement knowing others will have to understand what you are doing

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Hooker’s General Principles5. Be Open to the Future

True “industrial-strength” software must endure long lifetime

Hence, design the software to: solve the general problem, not just the specific

one, be ready to adapt to changes (in hardware,

computing platform etc.), and be reused

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Hooker’s General Principles6. Plan Ahead for Reuse

Reuse reduces the cost and increases the value of the reused components and the systems into which they are incorporated

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Hooker’s General Principles7. Think

When you think about something (placing clear, complete thought before action), you are more likely to do it right (more importantly, the first time).

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Software & Software Engineering

Software Myths

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Software Myths

Software myths – erroneous beliefs about software and the process that is used to build it

Misleading attitudes that have caused serious problems for managers and practitioners

Classifications of software myths: Management Customer Practitioner

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Software MythsManagement

Myth: We already have a book that’s full of standards and

procedures for building software Won’t that provide my people with everything they

need to know? Reality:

The book of standards may exist, but is it used? Are practitioners’ aware of its existence? Does it reflect modern SE practices? Is it complete? Is it adaptable?

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Software Myths Customer

Myth: Software requirements continuously change, but change

can be easily accommodated because software is flexible Reality:

The impact of change varies with the time at which it is introduced

The cost of impact of changes in early stage of software project is relative small

However, changes introduced at a later development stage may require a lot of resources and major design modification

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Software MythsPractitioner

Myth: “Once we write the program and get it work, our

job is done.” Reality:

Somebody once said the “the sooner you begin ‘writing the code’, the longer it’ll take you to get done.”

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How It all Starts

Every software project is precipitated by some business need the need to correct a defect in an existing

application; the need to adapt a ‘legacy system’ to a changing

business environment; the need to extend the functions and features of an

existing application, or the need to create a new product, service, or

system.

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Summary

Definitions of software and software engineering

Software deteriorates but never wear out Several software application domain – system

software, engineering/scientific software, AI software, embedded software, etc.

The Polya’s Four Essence of SE Practices Understand the problem; Plan a solution; Execute

the plan; Examine the result for accuracy

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Summary

Seven SE Principles The Reason It All Exists; KISS; Maintain the

Vision; What You Produce, Others Will Consume; Be Open to the Future; Plan Ahead for Reuse; Think!

Software myths have caused serious problems for the software industry

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THE ENDCopyright © 2013

Mohd. Sharifuddin Ahmad, PhD

College of Information Technology