This document provides information on the Software Engineering course with code 210253. It is a 3 credit course with a mid-semester exam worth 30 marks and an end-semester exam worth 70 marks. The syllabus covers topics like introduction to software engineering, software process models, prescriptive process models (waterfall, incremental, evolutionary), and agile software development. It also discusses concepts like software engineering fundamentals, process frameworks, generic process activities, prescriptive process models, evolutionary models, concurrent development model, and principles of software engineering practice.
This document discusses software engineering and provides definitions and explanations of key concepts:
- Software engineering is defined as an engineering discipline concerned with all aspects of software production. It focuses on practical software development and delivery, whereas computer science focuses more on theory.
- Good software should deliver required functionality, performance, and be maintainable, dependable, usable and acceptable to users.
- A software engineering approach is layered, with quality, process models, methods and tools. Process models define activities for effective delivery. Methods provide tasks for requirements, design, coding and testing. Tools support the process and methods.
- Generic software processes involve communication, planning, modeling, construction and deployment activities in an iterative fashion to develop
The document provides information on software engineering and the software development process. It discusses course objectives and outcomes for a software engineering course. It then covers various software process models including the waterfall model, incremental process model, RAD model, prototyping model, and spiral model. The document also discusses the generic process framework which includes activities like communication, planning, modeling, construction, and deployment. It provides details on process flow, the software engineering fundamentals, and the nature of software.
This document contains a lecture on software engineering from Dr. Syed Ali Raza. It discusses key topics like the Standish Report, different types of software, challenges in the field, and the importance of ethics. It also summarizes problem-solving approaches and common myths about both developing and managing software projects.
This document provides an overview of software and software engineering. It discusses that software is designed by engineers and used virtually everywhere. It also outlines important questions for software engineers, different types of software applications, challenges in software development, and realities of software engineering. The document emphasizes that software engineering applies systematic and disciplined approaches to develop reliable and efficient software economically. It also summarizes various software engineering processes, activities, principles, and that software is created to meet business needs.
The document discusses software engineering and provides an overview of key concepts. It defines software engineering and discusses its need. It describes characteristics of good software and lists factors like operational, transitional, and maintenance characteristics. It also covers software development life cycles and models like the classical waterfall model. The classical waterfall model divides the life cycle into phases like feasibility study, requirements analysis, design, coding/unit testing, and integration/system testing.
Week_01-Intro to Software Engineering-1.ppt23017156038
This document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and different types of software applications. The document also introduces a generic software engineering process framework consisting of communication, planning, modeling, construction, and deployment activities. Finally, it provides examples of an embedded insulin pump control system and a patient information system for mental health care to illustrate software engineering concepts and processes.
The document provides an overview of software engineering. It defines software engineering as applying scientific principles and methods to the development of software. The document then discusses the need for software engineering due to factors like managing large or scalable software, cost management, and dynamic nature of software. It also covers key concepts in software engineering like product vs process, software evolution, software development life cycle (SDLC), different SDLC models like waterfall, incremental, iterative and evolutionary.
The document provides an overview of software engineering. It defines software engineering as applying scientific principles and methods to the development of software. The document then discusses the need for software engineering due to factors like managing large or scalable software, cost management, and dynamic nature of software. It also covers key concepts in software engineering like product vs process, software evolution, software development life cycle (SDLC), different SDLC models like waterfall, incremental, iterative and evolutionary models.
Lecture 2 introduction to Software Engineering 1IIUI
This document discusses key concepts in software engineering including:
- Software engineering uses a layered technology approach with tools, methods, processes, and a quality focus.
- It introduces common process frameworks and activities like planning, modeling, construction, and deployment.
- It also discusses umbrella activities that span the entire software development process such as configuration management, quality assurance, and risk management.
- Finally, it debunks some common myths among managers, customers, and practitioners regarding software projects.
Software is a set of instructions and data structures that enable computer programs to provide desired functions and manipulate information. Software engineering is the systematic development and maintenance of software. It differs from software programming in that engineering involves teams developing complex, long-lasting systems through roles like architect and manager, while programming involves single developers building small, short-term applications. A software development life cycle like waterfall or spiral model provides structure to a project through phases from requirements to maintenance. Rapid application development emphasizes short cycles through business, data, and process modeling to create reusable components and reduce testing time.
The document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and characteristics that make it different than other engineered products. The document also outlines some common software applications and categories. It defines the key activities in a generic software process including communication, planning, modeling, construction, and deployment. Finally, it provides examples of two case studies - an embedded system in an insulin pump and a patient information system for mental health care.
Introduction,Software Process Models, Project Managementswatisinghal
The document discusses different types of software processes and models used in software engineering. It defines software and differentiates it from programs. It then explains key concepts in software engineering including the waterfall model, prototyping model, incremental/iterative model, and spiral model. For each model it provides an overview and discusses their advantages and limitations.
This document summarizes several software development process models. It begins by defining what a software process is - a framework for the activities required to build software. It then discusses evolutionary models like prototyping and the spiral model, which use iterative development and user feedback. Concurrent modeling is presented as allowing activities to occur simultaneously. The Unified Process is described as use case driven and iterative. Other models discussed include component-based development, formal methods, and aspect-oriented development. Personal and team software processes are also summarized, focusing on planning, metrics, and continuous improvement.
Introduction To Software Concepts Unit 1 & 2Raj vardhan
This document provides an overview of Module 1 of an introduction to software concepts course. It covers the following topics: definitions of software, importance of software, types of software, software components, members involved in software development, and an overview of the software development life cycle (SDLC). Specifically, it defines software, discusses why it is important, lists common software types and components. It also outlines the roles of various members in software development projects, such as subject matter experts, functional analysts, developers, testers, and project managers. Finally, it provides a high-level overview of the waterfall model for the SDLC.
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
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,
Software development is a process that involves planning, designing, coding, testing, and maintaining software. It includes identifying requirements, analyzing requirements, designing the software architecture and components, programming, testing, and maintaining the software. There are various software development models that guide the process, such as waterfall, rapid application development, and agile development. Choosing the right development model and tools, clearly defining requirements, managing changes, and testing thoroughly are important best practices for successful software projects.
SE chp1 update and learning management .pptxssuserdee5bb1
The document provides an overview of software engineering concepts including definitions, types of software, software processes, life cycle models and the waterfall model. It defines software engineering as a discipline concerned with all aspects of software development and defines types of software such as system software and application software. The document also summarizes software engineering objectives, reasons for software failures, and the three R's of software engineering - reuse, re-engineering, and re-tooling. Finally, it provides a brief introduction to software process models including the waterfall model.
This document discusses various process models for software engineering. It begins by defining what a process model is and explaining why they are useful. It then covers traditional sequential models like waterfall and V-model. Iterative and incremental models like prototyping and spiral modeling are described which allow for software to evolve through iterations. Other topics covered include concurrent modeling, component-based development, formal methods, aspects, unified process and personal software process. The document provides details on different process patterns, assessment methods and considerations for evolutionary processes.
Introduction to Data Analytics: Sources and nature
of data, classification of data (structured, semistructured,
unstructured), characteristics of data,
introduction to Big Data platform, need of data
analytics, evolution of analytic scalability, analytic
process and tools, analysis vs reporting, modern
data analytic tools, applications of data analytics.
Data Analytics Lifecycle: Need, key roles for
successful analytic projects, various phases of data
analytics lifecycle – discovery, data preparation,
model planning, model building, communicating
results, operationalization.
This document provides an overview of software and software engineering. It discusses that software is designed by engineers and used virtually everywhere. It also outlines important questions for software engineers, different types of software applications, challenges in software development, and realities of software engineering. The document emphasizes that software engineering applies systematic and disciplined approaches to develop reliable and efficient software economically. It also summarizes various software engineering processes, activities, principles, and that software is created to meet business needs.
The document discusses software engineering and provides an overview of key concepts. It defines software engineering and discusses its need. It describes characteristics of good software and lists factors like operational, transitional, and maintenance characteristics. It also covers software development life cycles and models like the classical waterfall model. The classical waterfall model divides the life cycle into phases like feasibility study, requirements analysis, design, coding/unit testing, and integration/system testing.
Week_01-Intro to Software Engineering-1.ppt23017156038
This document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and different types of software applications. The document also introduces a generic software engineering process framework consisting of communication, planning, modeling, construction, and deployment activities. Finally, it provides examples of an embedded insulin pump control system and a patient information system for mental health care to illustrate software engineering concepts and processes.
The document provides an overview of software engineering. It defines software engineering as applying scientific principles and methods to the development of software. The document then discusses the need for software engineering due to factors like managing large or scalable software, cost management, and dynamic nature of software. It also covers key concepts in software engineering like product vs process, software evolution, software development life cycle (SDLC), different SDLC models like waterfall, incremental, iterative and evolutionary.
The document provides an overview of software engineering. It defines software engineering as applying scientific principles and methods to the development of software. The document then discusses the need for software engineering due to factors like managing large or scalable software, cost management, and dynamic nature of software. It also covers key concepts in software engineering like product vs process, software evolution, software development life cycle (SDLC), different SDLC models like waterfall, incremental, iterative and evolutionary models.
Lecture 2 introduction to Software Engineering 1IIUI
This document discusses key concepts in software engineering including:
- Software engineering uses a layered technology approach with tools, methods, processes, and a quality focus.
- It introduces common process frameworks and activities like planning, modeling, construction, and deployment.
- It also discusses umbrella activities that span the entire software development process such as configuration management, quality assurance, and risk management.
- Finally, it debunks some common myths among managers, customers, and practitioners regarding software projects.
Software is a set of instructions and data structures that enable computer programs to provide desired functions and manipulate information. Software engineering is the systematic development and maintenance of software. It differs from software programming in that engineering involves teams developing complex, long-lasting systems through roles like architect and manager, while programming involves single developers building small, short-term applications. A software development life cycle like waterfall or spiral model provides structure to a project through phases from requirements to maintenance. Rapid application development emphasizes short cycles through business, data, and process modeling to create reusable components and reduce testing time.
The document provides an overview of software engineering concepts including definitions of software and software engineering. It discusses the importance of software and characteristics that make it different than other engineered products. The document also outlines some common software applications and categories. It defines the key activities in a generic software process including communication, planning, modeling, construction, and deployment. Finally, it provides examples of two case studies - an embedded system in an insulin pump and a patient information system for mental health care.
Introduction,Software Process Models, Project Managementswatisinghal
The document discusses different types of software processes and models used in software engineering. It defines software and differentiates it from programs. It then explains key concepts in software engineering including the waterfall model, prototyping model, incremental/iterative model, and spiral model. For each model it provides an overview and discusses their advantages and limitations.
This document summarizes several software development process models. It begins by defining what a software process is - a framework for the activities required to build software. It then discusses evolutionary models like prototyping and the spiral model, which use iterative development and user feedback. Concurrent modeling is presented as allowing activities to occur simultaneously. The Unified Process is described as use case driven and iterative. Other models discussed include component-based development, formal methods, and aspect-oriented development. Personal and team software processes are also summarized, focusing on planning, metrics, and continuous improvement.
Introduction To Software Concepts Unit 1 & 2Raj vardhan
This document provides an overview of Module 1 of an introduction to software concepts course. It covers the following topics: definitions of software, importance of software, types of software, software components, members involved in software development, and an overview of the software development life cycle (SDLC). Specifically, it defines software, discusses why it is important, lists common software types and components. It also outlines the roles of various members in software development projects, such as subject matter experts, functional analysts, developers, testers, and project managers. Finally, it provides a high-level overview of the waterfall model for the SDLC.
This document provides an overview of software engineering concepts covered in lecture notes. It discusses the software development life cycle (SDLC) which includes key stages like requirements gathering, design, coding, testing, integration and maintenance. The SDLC framework aims to develop software efficiently using a well-defined process. Software engineering principles like abstraction and decomposition are used to reduce complexity when developing large programs.
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,
Software development is a process that involves planning, designing, coding, testing, and maintaining software. It includes identifying requirements, analyzing requirements, designing the software architecture and components, programming, testing, and maintaining the software. There are various software development models that guide the process, such as waterfall, rapid application development, and agile development. Choosing the right development model and tools, clearly defining requirements, managing changes, and testing thoroughly are important best practices for successful software projects.
SE chp1 update and learning management .pptxssuserdee5bb1
The document provides an overview of software engineering concepts including definitions, types of software, software processes, life cycle models and the waterfall model. It defines software engineering as a discipline concerned with all aspects of software development and defines types of software such as system software and application software. The document also summarizes software engineering objectives, reasons for software failures, and the three R's of software engineering - reuse, re-engineering, and re-tooling. Finally, it provides a brief introduction to software process models including the waterfall model.
This document discusses various process models for software engineering. It begins by defining what a process model is and explaining why they are useful. It then covers traditional sequential models like waterfall and V-model. Iterative and incremental models like prototyping and spiral modeling are described which allow for software to evolve through iterations. Other topics covered include concurrent modeling, component-based development, formal methods, aspects, unified process and personal software process. The document provides details on different process patterns, assessment methods and considerations for evolutionary processes.
Introduction to Data Analytics: Sources and nature
of data, classification of data (structured, semistructured,
unstructured), characteristics of data,
introduction to Big Data platform, need of data
analytics, evolution of analytic scalability, analytic
process and tools, analysis vs reporting, modern
data analytic tools, applications of data analytics.
Data Analytics Lifecycle: Need, key roles for
successful analytic projects, various phases of data
analytics lifecycle – discovery, data preparation,
model planning, model building, communicating
results, operationalization.
Software Engineering REQUIREMENTS ANALYSIS AND SPECIFICATIONDr Anuranjan Misra
Software Requirements: Functional and Non-Functional, User requirements, System requirements, Software Requirements Document – Requirement Engineering Process: Feasibility Studies, Requirements elicitation and analysis, requirements validation, requirements management-Classical analysis: Structured system Analysis, Petri Nets- Data Dictionary
Classification of mental disorder in 5th semester bsc. nursing and also used ...parmarjuli1412
Classification of mental disorder in 5th semester Bsc. Nursing and also used in 2nd year GNM Nursing Included topic is ICD-11, DSM-5, INDIAN CLASSIFICATION, Geriatric-psychiatry, review of personality development, different types of theory, defense mechanism, etiology and bio-psycho-social factors, ethics and responsibility, responsibility of mental health nurse, practice standard for MHN, CONCEPTUAL MODEL and role of nurse, preventive psychiatric and rehabilitation, Psychiatric rehabilitation,
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♥☽About: I am Adult EDU Vocational, Ordained, Certified and Experienced. Course genres are personal development for holistic health, healing, and self care/self serve.
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Transform tomorrow: Master benefits analysis with Gen AI today webinar
Wednesday 30 April 2025
Joint webinar from APM AI and Data Analytics Interest Network and APM Benefits and Value Interest Network
Presenter:
Rami Deen
Content description:
We stepped into the future of benefits modelling and benefits analysis with this webinar on Generative AI (Gen AI), presented on Wednesday 30 April. Designed for all roles responsible in value creation be they benefits managers, business analysts and transformation consultants. This session revealed how Gen AI can revolutionise the way you identify, quantify, model, and realised benefits from investments.
We started by discussing the key challenges in benefits analysis, such as inaccurate identification, ineffective quantification, poor modelling, and difficulties in realisation. Learnt how Gen AI can help mitigate these challenges, ensuring more robust and effective benefits analysis.
We explored current applications and future possibilities, providing attendees with practical insights and actionable recommendations from industry experts.
This webinar provided valuable insights and practical knowledge on leveraging Gen AI to enhance benefits analysis and modelling, staying ahead in the rapidly evolving field of business transformation.
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History Of The Monastery Of Mor Gabriel Philoxenos Yuhanon Dolabani
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*"Sensing the World: Insect Sensory Systems"*Arshad Shaikh
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1. Software Engineering
KCS-601, Unit-I, 1.2
Dr APJ Abdul Kalam Technical
University, Lucknow
By
Dr Anuranjan Misra
1
Dr Anuranjan Misra
innovation
Ambassador
Ministry of Education,
Government of India
& Professor & Dean,
GNIOT, Greater Noida
3. THESOFTWAREPROCESS
• A process is a collection of activities, actions, and tasks that are
performed when some work product is to be created.
• An activity strives to achieve a broad objective (e.g.,
communication with stakeholders) and is applied regardless of
the application domain, size of the project, complexity of the
effort, or degree of rigor with which software engineering is to be
applied.
• An action encompasses a set of tasks that produce a major work
• An action encompasses a set of tasks that produce a major work
product (e.g., an architectural design model).
• A task focuses on a small, but well-defined objective (e.g.,
conducting a unit test) that produces a tangible outcome.
• A process framework establishes the foundation for a complete
software engineering process by identifying a small number of
framework activities that are applicable to all software projects,
regardless of their size or complexity. In addition, the process
framework encompasses a set of umbrella activities that are
applicable across the entire software process.
4. THESOFTWAREPROCESS
A generic process framework for software engineering encompasses
five activities:
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 - Any complicated journey can be simplified if a map exists.
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
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.
Modeling - A software engineer creating models to better
understand software requirements and the design that will achieve
those requirements.
Construction-This activity combines code generation (either manual or
automated) and the testing that is required to uncover errors in the
code.
Deployment-The software (as a complete entity or as a partially
completed increment) is delivered to the customer who evaluates
the delivered product and provides feedback based on the
evaluation.
5. Software engineering process framework activities are complemented
by a number of umbrella activities. Typical umbrella activities include:
Software project tracking and control—allows the software team to
assess progress against the project plan and take any necessary action to
maintain the schedule.
Risk management—assesses risks that may affect the outcome of the
project or the quality of the product.
Software quality assurance—defines and conducts the activities
required to ensure software quality.
Technical reviews—assesses software engineering work products in an
effort to uncover and remove errors before they are propagated to the next
activity.
activity.
Measurement—defines and collects process, project, and product
measures that assist the team in delivering software that meets
stakeholders’ needs; can be used in conjunction with all other
framework and umbrella activities.
Software configuration management—manages the effects of change
throughout the software process.
Reusability management—defines criteria for work product reuse
(including software components) and establishes mechanisms to
achieve reusable components.
Work product preparation and production—encompasses the activities
required to create work products such as models, documents, logs, forms,
and lists.
6. SOFTWAREENGINEERINGPRACTICES
The Essence of Practice
• Understand the problem (communication and analysis)
• Plan a solution (software design)
• Plan a solution (software design)
• Carry out the plan (code generation)
• Examine the result for accuracy (testing and quality
assurance)
7. SoftwareEngineeringPrinciples:
• The Reason It All Exists- A software system exists for one reason: to
provide value to its users. All decisions should be made with this in mind.
Before specifying a system requirement, before noting a piece of system
functionality, before determining the hardware platforms or development
processes, ask yourself questions such as: “Does this add real value to the
system?” If the answer is “no,” don’t do it.
• All other principles support this one.
• All other principles support this one.
• The Second Principle: (Keep It Simple, Stupid!) - All design should be as
simple as possible, but no simpler. This is not to say that features, even
internal features, should be discarded in the name of simplicity.
• The Third Principle: Maintain the Vision - A clear vision is
essential to the success of a software Project.
8. • The Fourth Principle: What You Produce, Others Will Consume
Always specify, design, and implement knowing someone else
will have to understand what you are doing. The audience for
any product of software development is potentially large.
Specify with an eye to the users.
• The Fifth Principle: Be Open to the Future - A system with a
long lifetime has more value. these systems must be ready to
adapt to these and other changes.
adapt to these and other changes.
• The Sixth Principle: Plan Ahead for Reuse - Reuse saves time
and effort. The reuse of code and designs has been major
benefit of using object-oriented technologies.
• The Seventh principle: Think! - Placing clear, complete thought
before action almost always produces better results. When you
think about something, you are more likely to do it right. You
also gain knowledge about how to do it right again. If you do
think about something and still do it wrong, it becomes a
valuable experience
9. SOFTWARE MYTHS
Software myths—erroneous beliefs about software and the
process that is used to build it—can be traced to the earliest days
of computing.
Today, most knowledgeable software engineering professionals
recognize myths for what they are—misleading attitudes that have
recognize myths for what they are—misleading attitudes that have
caused serious problems for managers and practitioners alike.
However, old attitudes and habits are difficult to modify, and
remnants of software myths remain.
1)Management myths
2)Customer myths
3)Practitioner myths
10. Management myths.
Managers with software responsibility, like managers in
most disciplines, are often under pressure to maintain
budgets, keep schedules from slipping, and improve quality.
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?
with everything they need to know?
Reality: The book of standards may very well exist, but is it
used? Are software practitioners aware of its existence? Does
it reflect modern software engineering practice? Is it
complete? Is it adaptable? Is it streamlined to improve time-
to-delivery while still maintaining a focus on quality? In many
cases, the answer to all of these questions is “no.”
11. Customer myths.
A customer who requests computer software may be a
person at the next desk, a technical group down the hall, the
marketing/sales department, or an outside company that has
requested software under contract
Myth: A general statement of objectives is sufficient to
begin writing programs—we can fill in the details later.
begin writing programs—we can fill in the details later.
Reality: Although a comprehensive and stable statement of
requirements is not always possible, an ambiguous
“statement of objectives” is a recipe for disaster.
Unambiguous requirements (usually derived iteratively) are
developed only through effective and continuous
communication between customer and developer.
12. Practitioner’s myths.
Myths that are still believed by software practitioners
have been fostered by over 50 years of programming
culture. During the early days, programming was viewed
as an art form. Old ways and attitudes die hard.
Myth: Once we write the program and get it to work, our
job is done.
job is done.
Reality: Someone once said that “the sooner you begin
‘writing code,’ the longer it’ll take you to get done.”
Industry data indicate that between 60 and 80 percent of
all effort expended on software will be expended after it
is delivered to the customer for the first time.