SlideShare a Scribd company logo
What is Software?
Software encompasses: (1) instructions (computer programs)
that when executed provide desired features, function, and
performance; (2) data structures that enable the programs to
adequately store and manipulate information and (3)
documentation that describes the operation and use of the
programs.
Software products
Generic products
◦ Stand-alone systems that are marketed and sold to any customer who wishes to buy
them.
◦ Examples – PC software such as editing, graphics programs, project management
tools; CAD software; software for specific markets such as appointments systems for
dentists.
Customized products
◦ Software that is commissioned by a specific customer to meet their own needs.
◦ Examples – embedded control systems, air traffic control software, traffic
monitoring systems.
Why Software is Important?
The economies of ALL developed nations are dependent on software.
More and more systems are software controlled ( transportation, medical,
telecommunications, military, industrial, entertainment,)
Software engineering is concerned with theories, methods and tools for
professional software development.
Software costs
Software costs often dominate computer system costs. The costs of software
on a PC are often greater than the hardware cost.
Software costs more to maintain than it does to develop. For systems with a
long life, maintenance costs may be several times development costs.
Software engineering is concerned with cost-effective software development.
Features of Software?
Its characteristics that make it different from other things human being
build.
Features of such logical system:
Software is developed or engineered, it is not manufactured in the classical
sense which has quality problem.
Software doesn't "wear out.” but it deteriorates (due to change).
Although the industry is moving toward component-based construction,
most software continues to be custom-built. Modern reusable components
encapsulate data and processing into software parts to be reused by
different programs. E.g. graphical user interface, window, pull-down menus
in library etc.
Wear vs. Deterioration
Software Applications
1. System software: such as compilers, editors, file management utilities
2. Application software: stand-alone programs for specific needs.
3. Engineering/scientific software: Characterized by “number crunching”algorithms. such
as automotive stress analysis, molecular biology, orbital dynamics etc
4. Embedded software resides within a product or system. (key pad control of a microwave
oven, digital function of dashboard display in a car)
5. Product-line software focus on a limited marketplace to address mass consumer market.
(word processing, graphics, database management)
6. WebApps (Web applications) network centric software.
7. AI software uses non-numerical algorithm to solve complex problem. Robotics, expert
system, pattern recognition game playing
Software—New Categories
Open world computing—pervasive, ubiquitous, distributed computing due to
wireless networking. How to allow mobile devices, personal computer, enterprise
system to communicate across vast network.
Open source—”free” source code open to the computing community (a blessing,
but also a potential curse!)
◦ Data mining
◦ Grid computing
◦ Cognitive machines
◦ Software for nanotechnologies
The IEEE definition:
Software Engineering: (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 (1).
[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.
Software Engineering Definition
Importance of Software Engineering
More and more, individuals and society rely on advanced software systems.
We need to be able to produce reliable and trustworthy systems economically
and quickly.
It is usually cheaper, in the long run, to use software engineering methods and
techniques for software systems rather than just write the programs as if it
was a personal programming project. For most types of system, the majority of
costs are the costs of changing the software after it has gone into use.
A Layered Technology
Software Engineering
a “quality” focus
process model
methods
tools
A Layered Technology
Software Engineering
 Any engineering approach must rest on organizational commitment to quality which
fosters a continuous process improvement culture.
 Process layer as the foundation defines a framework with activities for effective
delivery of software engineering technology. Establish the context where products
(model, data, report, and forms) are produced, milestone are established, quality is
ensured and change is managed.
 Method provides technical how-to’s for building software. It encompasses many
tasks including communication, requirement analysis, design modeling, program
construction, testing and support.
 Tools provide automated or semi-automated support for the process and methods.
Software Process
A process is a collection of activities, actions and tasks that are
performed when some work product is to be created. It is not a rigid
prescription for how to build computer software. Rather, it is an
adaptable approach that enables the people doing the work to pick and
choose the appropriate set of work actions and tasks.
Purpose of process is to deliver software in a timely manner and with
sufficient quality to satisfy those who have sponsored its creation and
those who will use it.
Five Activities of a Generic
Process framework
Communication: Before any technical work can commence, it is critically
important to communicate and collaborate with the customer (and other
stakeholders).
◦ The intent is to understand stakeholders’ objectives for the project and
◦ to gather requirements that help define software features and functions.
Planning: A software project is a complicated journey, and the planning
activity creates a “map” that helps guide the team as it makes the journey.
The map—called a software project Plan
◦ defines the software engineering work by describing
◦ the technical tasks to be conducted, the risks that are likely, the resources that
will be required, the work products to be produced, and a work schedule.
Five Activities of a Generic
Process framework
Modeling: what it will look like architecturally,
◦ how the constituent parts fit together, and many other characteristics.
A software engineer does the same thing by creating models to better
understand software requirements and the design that will achieve
those requirements.
Construction: This activity combines code generation and the testing
that is required to uncover errors in the code.
Deployment: Delivered to the customer who evaluates the products and
provides feedback based on the evaluation.
Umbrella Activities
Complement the five process framework activities and help team
manage and control progress, quality, change, and risk.
Software project tracking and control: assess progress against the plan
and take actions to maintain the schedule.
Risk management: assesses risks that may affect the outcome and
quality.
Software quality assurance: defines and conduct activities to ensure
quality.
Technical reviews: assesses work products to uncover and remove
errors before going to the next activity.
Umbrella Activities
Software configuration management: manage the effects of change
throughout the software process.
Reusability management: defines criteria for work product reuse and
establishes mechanism to achieve reusable components.
Work product preparation and production: create work products such
as models, documents, logs, forms and lists.
Adapting a Process Model
The process should be agile and adaptable to problems. Process adopted for
one project might be significantly different than a process adopted from
another project. (to the problem, the project, the team, organizational
culture). Among the differences are:
◦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
Adapting a Process Model
◦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
◦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
Prescriptive and Agile
Process Models
◦The prescriptive process models stress detailed definition, identification,
and application of process activates and tasks.
◦Intent is to improve system quality, make projects more manageable, make
delivery dates and costs more predictable, and guide teams of software
engineers as they perform the work required to build a system.
Prescriptive and Agile
Process Models
◦Agile process models emphasize project “agility” and follow a set of
principles that lead to a more informal approach to software process. It
emphasizes maneuverability and adaptability. It is particularly useful when
Web applications are engineered.
Hooker’s General Principles for Software
Engineering Practice: important underlying law
Help you establish mind-set for solid software engineering practice (David
Hooker 96).
1: The Reason It All Exists: provide values to users
2: KISS (Keep It Simple, Stupid! As simple as possible)
3: Maintain the Vision (otherwise, incompatible design)
4: What You Produce, Others Will Consume (code with concern for those that
must maintain and extend the system)
5: Be Open to the Future (never design yourself into a corner as specification
and hardware changes)
6: Plan Ahead for Reuse
7: Think! Place clear complete thought before action produces better results.
Software Myths
Erroneous beliefs about software and the process that is used to build
it.
Affect managers, customers (and other non-technical stakeholders)
and practitioners
Are believable because they often have elements of truth,
but …
Invariably lead to bad decisions,
therefore …
Insist on reality as you navigate your way through software
engineering
Software Myths Examples
Myth 1: Once we write the program and get it to work, our job is done.
Reality: the sooner you begin writing code, the longer it will take you to get
done. 60% to 80% of all efforts are spent after software is delivered to the
customer for the first time.
Myth 2: Until I get the program running, I have no way of assessing its quality.
Reality: technical review are a quality filter that can be used to find certain
classes of software defects from the inception of a project.
Software Myths Examples
Myth 3: software engineering will make us create voluminous and unnecessary
documentation and will invariably slow us down.
Reality: it is not about creating documents. It is about creating a quality product.
Better quality leads to a reduced rework. Reduced work results in faster delivery
times.
Many people recognize the fallacy of the myths. Regrettably,
habitual attitudes and methods foster poor management and
technical practices, even when reality dictates a better approach.
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 extend the functions and features of an existing
application, or
◦ the need to create a new product, service, or system.

More Related Content

What's hot

Algorithmic Software Cost Modeling
Algorithmic Software Cost ModelingAlgorithmic Software Cost Modeling
Algorithmic Software Cost Modeling
Kasun Ranga Wijeweera
 
Software metrics
Software metricsSoftware metrics
Use Case Diagram
Use Case DiagramUse Case Diagram
Use Case Diagram
Ashesh R
 
Metrics for project size estimation
Metrics for project size estimationMetrics for project size estimation
Metrics for project size estimationNur Islam
 
RMMM-Risk Management,Mitigation and Monitoring.
RMMM-Risk Management,Mitigation and Monitoring.RMMM-Risk Management,Mitigation and Monitoring.
RMMM-Risk Management,Mitigation and Monitoring.
Aparna Nayak
 
Software System Engineering - Chapter 1
Software System Engineering - Chapter 1Software System Engineering - Chapter 1
Software System Engineering - Chapter 1
Fadhil Ismail
 
Introduction to Software Engineering
Introduction to Software EngineeringIntroduction to Software Engineering
Introduction to Software Engineering
Saqib Raza
 
Software Engineering (Project Planning & Estimation)
Software Engineering (Project Planning &  Estimation)Software Engineering (Project Planning &  Estimation)
Software Engineering (Project Planning & Estimation)
ShudipPal
 
Lecture 01 Introduction to Software Engineering
Lecture 01 Introduction to Software EngineeringLecture 01 Introduction to Software Engineering
Lecture 01 Introduction to Software Engineering
Achmad Solichin
 
Web Engineering
Web EngineeringWeb Engineering
Web Engineering
Muhammad Muzammal
 
Software Engineering Diversity
Software Engineering DiversitySoftware Engineering Diversity
Software Engineering Diversity
SayedMokarrom
 
Agile Methodology - Software Engineering
Agile Methodology - Software EngineeringAgile Methodology - Software Engineering
Agile Methodology - Software Engineering
Purvik Rana
 
Uml Presentation
Uml PresentationUml Presentation
Uml Presentationmewaseem
 
Software Project Management
Software Project ManagementSoftware Project Management
Software Project Management
NoorHameed6
 
software engineering
software engineeringsoftware engineering
software engineering
Azad public school
 
software project management Waterfall model
software project management Waterfall modelsoftware project management Waterfall model
software project management Waterfall model
REHMAT ULLAH
 
UML Diagrams
UML DiagramsUML Diagrams
UML Diagrams
Kartik Raghuvanshi
 
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
IrtazaAfzal3
 
Chapter 15 software product metrics
Chapter 15 software product metricsChapter 15 software product metrics
Chapter 15 software product metrics
SHREEHARI WADAWADAGI
 

What's hot (20)

Algorithmic Software Cost Modeling
Algorithmic Software Cost ModelingAlgorithmic Software Cost Modeling
Algorithmic Software Cost Modeling
 
Software metrics
Software metricsSoftware metrics
Software metrics
 
Use Case Diagram
Use Case DiagramUse Case Diagram
Use Case Diagram
 
Metrics for project size estimation
Metrics for project size estimationMetrics for project size estimation
Metrics for project size estimation
 
RMMM-Risk Management,Mitigation and Monitoring.
RMMM-Risk Management,Mitigation and Monitoring.RMMM-Risk Management,Mitigation and Monitoring.
RMMM-Risk Management,Mitigation and Monitoring.
 
Software System Engineering - Chapter 1
Software System Engineering - Chapter 1Software System Engineering - Chapter 1
Software System Engineering - Chapter 1
 
System engineering
System engineeringSystem engineering
System engineering
 
Introduction to Software Engineering
Introduction to Software EngineeringIntroduction to Software Engineering
Introduction to Software Engineering
 
Software Engineering (Project Planning & Estimation)
Software Engineering (Project Planning &  Estimation)Software Engineering (Project Planning &  Estimation)
Software Engineering (Project Planning & Estimation)
 
Lecture 01 Introduction to Software Engineering
Lecture 01 Introduction to Software EngineeringLecture 01 Introduction to Software Engineering
Lecture 01 Introduction to Software Engineering
 
Web Engineering
Web EngineeringWeb Engineering
Web Engineering
 
Software Engineering Diversity
Software Engineering DiversitySoftware Engineering Diversity
Software Engineering Diversity
 
Agile Methodology - Software Engineering
Agile Methodology - Software EngineeringAgile Methodology - Software Engineering
Agile Methodology - Software Engineering
 
Uml Presentation
Uml PresentationUml Presentation
Uml Presentation
 
Software Project Management
Software Project ManagementSoftware Project Management
Software Project Management
 
software engineering
software engineeringsoftware engineering
software engineering
 
software project management Waterfall model
software project management Waterfall modelsoftware project management Waterfall model
software project management Waterfall model
 
UML Diagrams
UML DiagramsUML Diagrams
UML Diagrams
 
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)
 
Chapter 15 software product metrics
Chapter 15 software product metricsChapter 15 software product metrics
Chapter 15 software product metrics
 

Similar to Chapter_01.ppt

Week_01-Intro to Software Engineering-1.ppt
Week_01-Intro to Software Engineering-1.pptWeek_01-Intro to Software Engineering-1.ppt
Week_01-Intro to Software Engineering-1.ppt
23017156038
 
SE
SESE
Lecture-1,2-Introduction to SE.pptx
Lecture-1,2-Introduction to SE.pptxLecture-1,2-Introduction to SE.pptx
Lecture-1,2-Introduction to SE.pptx
YaseenNazir3
 
Unit 1 importance ofsoftengg_b.tech iii year
Unit 1  importance ofsoftengg_b.tech iii yearUnit 1  importance ofsoftengg_b.tech iii year
Unit 1 importance ofsoftengg_b.tech iii year
Preeti Mishra
 
Unit 1 introduction tosoftengg_mba tech ii year
Unit 1  introduction tosoftengg_mba tech ii yearUnit 1  introduction tosoftengg_mba tech ii year
Unit 1 introduction tosoftengg_mba tech ii year
Preeti Mishra
 
Java learn from basic part chapter_01 short notes to understand the java quic...
Java learn from basic part chapter_01 short notes to understand the java quic...Java learn from basic part chapter_01 short notes to understand the java quic...
Java learn from basic part chapter_01 short notes to understand the java quic...
GaytriMate
 
2- THE CHANGING NATURE OF SOFTWARE.pdf
2- THE CHANGING NATURE OF SOFTWARE.pdf2- THE CHANGING NATURE OF SOFTWARE.pdf
2- THE CHANGING NATURE OF SOFTWARE.pdf
bcanawakadalcollege
 
Software engineering
Software engineeringSoftware engineering
Software engineering
AnanthiP8
 
SE Lecture 1.ppt
SE Lecture 1.pptSE Lecture 1.ppt
SE Lecture 1.ppt
ssusere16bd9
 
SE Lecture 1.ppt
SE Lecture 1.pptSE Lecture 1.ppt
SE Lecture 1.ppt
ssusere16bd9
 
ccs356-software-engineering-notes.pdf
ccs356-software-engineering-notes.pdfccs356-software-engineering-notes.pdf
ccs356-software-engineering-notes.pdf
VijayakumarKadumbadi
 
Introduction to Software Engineering
Introduction to Software EngineeringIntroduction to Software Engineering
Lecture 2 introduction to Software Engineering 1
Lecture 2   introduction to Software Engineering 1Lecture 2   introduction to Software Engineering 1
Lecture 2 introduction to Software Engineering 1
IIUI
 
Introduction of software engineering
Introduction of software engineeringIntroduction of software engineering
Introduction of software engineering
BhagyashriMore10
 
Lecture 1 SE.pptx
Lecture 1 SE.pptxLecture 1 SE.pptx
Lecture 1 SE.pptx
MUHAMMADUMERMEHMOOD1
 
Chapter1
Chapter1Chapter1
Chapter1
mansab MIRZA
 
Chapter 01
Chapter 01Chapter 01
Chapter 01
ryan aja
 
Chapter 01
Chapter 01Chapter 01
Chapter 01
AlenaDion
 
Unit 1.pdf
Unit 1.pdfUnit 1.pdf
Unit 1.pdf
dsffdfddv
 
CS8494 SOFTWARE ENGINEERING Unit-1
CS8494 SOFTWARE ENGINEERING Unit-1CS8494 SOFTWARE ENGINEERING Unit-1
CS8494 SOFTWARE ENGINEERING Unit-1
SIMONTHOMAS S
 

Similar to Chapter_01.ppt (20)

Week_01-Intro to Software Engineering-1.ppt
Week_01-Intro to Software Engineering-1.pptWeek_01-Intro to Software Engineering-1.ppt
Week_01-Intro to Software Engineering-1.ppt
 
SE
SESE
SE
 
Lecture-1,2-Introduction to SE.pptx
Lecture-1,2-Introduction to SE.pptxLecture-1,2-Introduction to SE.pptx
Lecture-1,2-Introduction to SE.pptx
 
Unit 1 importance ofsoftengg_b.tech iii year
Unit 1  importance ofsoftengg_b.tech iii yearUnit 1  importance ofsoftengg_b.tech iii year
Unit 1 importance ofsoftengg_b.tech iii year
 
Unit 1 introduction tosoftengg_mba tech ii year
Unit 1  introduction tosoftengg_mba tech ii yearUnit 1  introduction tosoftengg_mba tech ii year
Unit 1 introduction tosoftengg_mba tech ii year
 
Java learn from basic part chapter_01 short notes to understand the java quic...
Java learn from basic part chapter_01 short notes to understand the java quic...Java learn from basic part chapter_01 short notes to understand the java quic...
Java learn from basic part chapter_01 short notes to understand the java quic...
 
2- THE CHANGING NATURE OF SOFTWARE.pdf
2- THE CHANGING NATURE OF SOFTWARE.pdf2- THE CHANGING NATURE OF SOFTWARE.pdf
2- THE CHANGING NATURE OF SOFTWARE.pdf
 
Software engineering
Software engineeringSoftware engineering
Software engineering
 
SE Lecture 1.ppt
SE Lecture 1.pptSE Lecture 1.ppt
SE Lecture 1.ppt
 
SE Lecture 1.ppt
SE Lecture 1.pptSE Lecture 1.ppt
SE Lecture 1.ppt
 
ccs356-software-engineering-notes.pdf
ccs356-software-engineering-notes.pdfccs356-software-engineering-notes.pdf
ccs356-software-engineering-notes.pdf
 
Introduction to Software Engineering
Introduction to Software EngineeringIntroduction to Software Engineering
Introduction to Software Engineering
 
Lecture 2 introduction to Software Engineering 1
Lecture 2   introduction to Software Engineering 1Lecture 2   introduction to Software Engineering 1
Lecture 2 introduction to Software Engineering 1
 
Introduction of software engineering
Introduction of software engineeringIntroduction of software engineering
Introduction of software engineering
 
Lecture 1 SE.pptx
Lecture 1 SE.pptxLecture 1 SE.pptx
Lecture 1 SE.pptx
 
Chapter1
Chapter1Chapter1
Chapter1
 
Chapter 01
Chapter 01Chapter 01
Chapter 01
 
Chapter 01
Chapter 01Chapter 01
Chapter 01
 
Unit 1.pdf
Unit 1.pdfUnit 1.pdf
Unit 1.pdf
 
CS8494 SOFTWARE ENGINEERING Unit-1
CS8494 SOFTWARE ENGINEERING Unit-1CS8494 SOFTWARE ENGINEERING Unit-1
CS8494 SOFTWARE ENGINEERING Unit-1
 

Recently uploaded

Into the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdfInto the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdf
Ortus Solutions, Corp
 
BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024
Ortus Solutions, Corp
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
Matt Welsh
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Natan Silnitsky
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024
Globus
 
Advanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should KnowAdvanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should Know
Peter Caitens
 
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns
 
De mooiste recreatieve routes ontdekken met RouteYou en FME
De mooiste recreatieve routes ontdekken met RouteYou en FMEDe mooiste recreatieve routes ontdekken met RouteYou en FME
De mooiste recreatieve routes ontdekken met RouteYou en FME
Jelle | Nordend
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdf
Cyanic lab
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Globus
 
Strategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptxStrategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptx
varshanayak241
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
Paco van Beckhoven
 
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Globus
 
Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
Tendenci - The Open Source AMS (Association Management Software)
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Globus
 
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Shahin Sheidaei
 
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Globus
 

Recently uploaded (20)

Into the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdfInto the Box 2024 - Keynote Day 2 Slides.pdf
Into the Box 2024 - Keynote Day 2 Slides.pdf
 
BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024BoxLang: Review our Visionary Licenses of 2024
BoxLang: Review our Visionary Licenses of 2024
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
 
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
 
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.ILBeyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
Beyond Event Sourcing - Embracing CRUD for Wix Platform - Java.IL
 
Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024Globus Compute Introduction - GlobusWorld 2024
Globus Compute Introduction - GlobusWorld 2024
 
Advanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should KnowAdvanced Flow Concepts Every Developer Should Know
Advanced Flow Concepts Every Developer Should Know
 
Prosigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns: Transforming Business with Tailored Technology Solutions
Prosigns: Transforming Business with Tailored Technology Solutions
 
De mooiste recreatieve routes ontdekken met RouteYou en FME
De mooiste recreatieve routes ontdekken met RouteYou en FMEDe mooiste recreatieve routes ontdekken met RouteYou en FME
De mooiste recreatieve routes ontdekken met RouteYou en FME
 
Cyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdfCyaniclab : Software Development Agency Portfolio.pdf
Cyaniclab : Software Development Agency Portfolio.pdf
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
 
Strategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptxStrategies for Successful Data Migration Tools.pptx
Strategies for Successful Data Migration Tools.pptx
 
Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024Cracking the code review at SpringIO 2024
Cracking the code review at SpringIO 2024
 
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
 
Corporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMSCorporate Management | Session 3 of 3 | Tendenci AMS
Corporate Management | Session 3 of 3 | Tendenci AMS
 
SOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar Research Team: Latest Activities of IntelBroker
SOCRadar Research Team: Latest Activities of IntelBroker
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
 
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
 
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
 
Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...Developing Distributed High-performance Computing Capabilities of an Open Sci...
Developing Distributed High-performance Computing Capabilities of an Open Sci...
 

Chapter_01.ppt

  • 1. What is Software? Software encompasses: (1) instructions (computer programs) that when executed provide desired features, function, and performance; (2) data structures that enable the programs to adequately store and manipulate information and (3) documentation that describes the operation and use of the programs.
  • 2. Software products Generic products ◦ Stand-alone systems that are marketed and sold to any customer who wishes to buy them. ◦ Examples – PC software such as editing, graphics programs, project management tools; CAD software; software for specific markets such as appointments systems for dentists. Customized products ◦ Software that is commissioned by a specific customer to meet their own needs. ◦ Examples – embedded control systems, air traffic control software, traffic monitoring systems.
  • 3. Why Software is Important? The economies of ALL developed nations are dependent on software. More and more systems are software controlled ( transportation, medical, telecommunications, military, industrial, entertainment,) Software engineering is concerned with theories, methods and tools for professional software development.
  • 4. Software costs Software costs often dominate computer system costs. The costs of software on a PC are often greater than the hardware cost. Software costs more to maintain than it does to develop. For systems with a long life, maintenance costs may be several times development costs. Software engineering is concerned with cost-effective software development.
  • 5. Features of Software? Its characteristics that make it different from other things human being build. Features of such logical system: Software is developed or engineered, it is not manufactured in the classical sense which has quality problem. Software doesn't "wear out.” but it deteriorates (due to change). Although the industry is moving toward component-based construction, most software continues to be custom-built. Modern reusable components encapsulate data and processing into software parts to be reused by different programs. E.g. graphical user interface, window, pull-down menus in library etc.
  • 7. Software Applications 1. System software: such as compilers, editors, file management utilities 2. Application software: stand-alone programs for specific needs. 3. Engineering/scientific software: Characterized by “number crunching”algorithms. such as automotive stress analysis, molecular biology, orbital dynamics etc 4. Embedded software resides within a product or system. (key pad control of a microwave oven, digital function of dashboard display in a car) 5. Product-line software focus on a limited marketplace to address mass consumer market. (word processing, graphics, database management) 6. WebApps (Web applications) network centric software. 7. AI software uses non-numerical algorithm to solve complex problem. Robotics, expert system, pattern recognition game playing
  • 8. Software—New Categories Open world computing—pervasive, ubiquitous, distributed computing due to wireless networking. How to allow mobile devices, personal computer, enterprise system to communicate across vast network. Open source—”free” source code open to the computing community (a blessing, but also a potential curse!) ◦ Data mining ◦ Grid computing ◦ Cognitive machines ◦ Software for nanotechnologies
  • 9. The IEEE definition: Software Engineering: (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 (1). [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. Software Engineering Definition
  • 10. Importance of Software Engineering More and more, individuals and society rely on advanced software systems. We need to be able to produce reliable and trustworthy systems economically and quickly. It is usually cheaper, in the long run, to use software engineering methods and techniques for software systems rather than just write the programs as if it was a personal programming project. For most types of system, the majority of costs are the costs of changing the software after it has gone into use.
  • 11. A Layered Technology Software Engineering a “quality” focus process model methods tools
  • 12. A Layered Technology Software Engineering  Any engineering approach must rest on organizational commitment to quality which fosters a continuous process improvement culture.  Process layer as the foundation defines a framework with activities for effective delivery of software engineering technology. Establish the context where products (model, data, report, and forms) are produced, milestone are established, quality is ensured and change is managed.  Method provides technical how-to’s for building software. It encompasses many tasks including communication, requirement analysis, design modeling, program construction, testing and support.  Tools provide automated or semi-automated support for the process and methods.
  • 13. Software Process A process is a collection of activities, actions and tasks that are performed when some work product is to be created. It is not a rigid prescription for how to build computer software. Rather, it is an adaptable approach that enables the people doing the work to pick and choose the appropriate set of work actions and tasks. Purpose of process is to deliver software in a timely manner and with sufficient quality to satisfy those who have sponsored its creation and those who will use it.
  • 14. Five Activities of a Generic Process framework Communication: Before any technical work can commence, it is critically important to communicate and collaborate with the customer (and other stakeholders). ◦ The intent is to understand stakeholders’ objectives for the project and ◦ to gather requirements that help define software features and functions. Planning: A software project is a complicated journey, and the planning activity creates a “map” that helps guide the team as it makes the journey. The map—called a software project Plan ◦ defines the software engineering work by describing ◦ the technical tasks to be conducted, the risks that are likely, the resources that will be required, the work products to be produced, and a work schedule.
  • 15. Five Activities of a Generic Process framework Modeling: what it will look like architecturally, ◦ how the constituent parts fit together, and many other characteristics. A software engineer does the same thing by creating models to better understand software requirements and the design that will achieve those requirements. Construction: This activity combines code generation and the testing that is required to uncover errors in the code. Deployment: Delivered to the customer who evaluates the products and provides feedback based on the evaluation.
  • 16. Umbrella Activities Complement the five process framework activities and help team manage and control progress, quality, change, and risk. Software project tracking and control: assess progress against the plan and take actions to maintain the schedule. Risk management: assesses risks that may affect the outcome and quality. Software quality assurance: defines and conduct activities to ensure quality. Technical reviews: assesses work products to uncover and remove errors before going to the next activity.
  • 17. Umbrella Activities Software configuration management: manage the effects of change throughout the software process. Reusability management: defines criteria for work product reuse and establishes mechanism to achieve reusable components. Work product preparation and production: create work products such as models, documents, logs, forms and lists.
  • 18. Adapting a Process Model The process should be agile and adaptable to problems. Process adopted for one project might be significantly different than a process adopted from another project. (to the problem, the project, the team, organizational culture). Among the differences are: ◦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
  • 19. Adapting a Process Model ◦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 ◦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
  • 20. Prescriptive and Agile Process Models ◦The prescriptive process models stress detailed definition, identification, and application of process activates and tasks. ◦Intent is to improve system quality, make projects more manageable, make delivery dates and costs more predictable, and guide teams of software engineers as they perform the work required to build a system.
  • 21. Prescriptive and Agile Process Models ◦Agile process models emphasize project “agility” and follow a set of principles that lead to a more informal approach to software process. It emphasizes maneuverability and adaptability. It is particularly useful when Web applications are engineered.
  • 22. Hooker’s General Principles for Software Engineering Practice: important underlying law Help you establish mind-set for solid software engineering practice (David Hooker 96). 1: The Reason It All Exists: provide values to users 2: KISS (Keep It Simple, Stupid! As simple as possible) 3: Maintain the Vision (otherwise, incompatible design) 4: What You Produce, Others Will Consume (code with concern for those that must maintain and extend the system) 5: Be Open to the Future (never design yourself into a corner as specification and hardware changes) 6: Plan Ahead for Reuse 7: Think! Place clear complete thought before action produces better results.
  • 23. Software Myths Erroneous beliefs about software and the process that is used to build it. Affect managers, customers (and other non-technical stakeholders) and practitioners Are believable because they often have elements of truth, but … Invariably lead to bad decisions, therefore … Insist on reality as you navigate your way through software engineering
  • 24. Software Myths Examples Myth 1: Once we write the program and get it to work, our job is done. Reality: the sooner you begin writing code, the longer it will take you to get done. 60% to 80% of all efforts are spent after software is delivered to the customer for the first time. Myth 2: Until I get the program running, I have no way of assessing its quality. Reality: technical review are a quality filter that can be used to find certain classes of software defects from the inception of a project.
  • 25. Software Myths Examples Myth 3: software engineering will make us create voluminous and unnecessary documentation and will invariably slow us down. Reality: it is not about creating documents. It is about creating a quality product. Better quality leads to a reduced rework. Reduced work results in faster delivery times. Many people recognize the fallacy of the myths. Regrettably, habitual attitudes and methods foster poor management and technical practices, even when reality dictates a better approach.
  • 26. 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 extend the functions and features of an existing application, or ◦ the need to create a new product, service, or system.