Software, software Engineering, Software Engineering Layered Technology, These slides provide the details about software and Software Engineering basics.
Sdlc process models in software engineering basics by ram k paliwalRam Paliwal
1) Prescriptive process models were proposed to structure software development but software engineering remains complex.
2) Different process models apply different emphases to core framework activities and define different process flows.
3) The waterfall model is a sequential approach dividing the lifecycle into phases that do not overlap. It is simple but inflexible to changes.
Sdlc spiral model in software engineering basics by ram k paliwalRam Paliwal
The document discusses software process models and the spiral model in particular. It notes that prescriptive process models brought order to software development but work remains complex. The spiral model is an evolutionary model that combines iterative prototyping with controlled aspects of waterfall. With spiral, software is developed through a series of evolutionary releases from initial prototypes to more complete versions. Each pass through the planning phase allows for adjustments to the project plan based on customer feedback.
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
WHAT IS SOFTWARE ENGINEERING?
According to IEEE software engineering is defined as the application of the systematic, discipline, quantifiable approach to development of an operation and maintenance of software.
Sdlc process models in software engineering basics by ram k paliwalRam Paliwal
1) Prescriptive process models were proposed to structure software development but software engineering remains complex.
2) Different process models apply different emphases to core framework activities and define different process flows.
3) The waterfall model is a sequential approach dividing the lifecycle into phases that do not overlap. It is simple but inflexible to changes.
Sdlc spiral model in software engineering basics by ram k paliwalRam Paliwal
The document discusses software process models and the spiral model in particular. It notes that prescriptive process models brought order to software development but work remains complex. The spiral model is an evolutionary model that combines iterative prototyping with controlled aspects of waterfall. With spiral, software is developed through a series of evolutionary releases from initial prototypes to more complete versions. Each pass through the planning phase allows for adjustments to the project plan based on customer feedback.
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Software Engineering Layered Technology Software Process FrameworkJAINAM KAPADIYA
Software engineering is the application of engineering principles to software development to obtain economical and quality software. It is a layered technology with a focus on quality. The foundation is the software process, which provides a framework of activities. This includes common activities like communication, modeling, planning, construction, and deployment. Additional umbrella activities support the process, such as quality assurance, configuration management, and risk management.
WHAT IS SOFTWARE ENGINEERING?
According to IEEE software engineering is defined as the application of the systematic, discipline, quantifiable approach to development of an operation and maintenance of software.
Software engineering a practitioners approach 8th edition pressman solutions ...Drusilla918
Full clear download( no error formatting) at: https://goo.gl/XmRyGP
software engineering a practitioner's approach 8th edition pdf free download
software engineering a practitioner's approach 8th edition ppt
software engineering a practitioner's approach 6th edition pdf
software engineering pressman 9th edition pdf
software engineering a practitioner's approach 9th edition
software engineering a practitioner's approach 9th edition pdf
software engineering a practitioner's approach 7th edition solution manual pdf
roger s. pressman
This document summarizes common software myths and realities. It discusses six myths: 1) that standards and procedures are enough to produce good programs, 2) that new hardware ensures good software, 3) that adding programmers to a late project finishes it on time, 4) that general objectives are enough to begin programming, 5) that software is flexible enough to handle continuous changes, and 6) that the job is done once a program works. For each, it provides the reality, such as that people don't always follow standards, tools are more important than hardware, adding people makes projects later, detailed requirements are needed upfront, changes are costly, and 50-70% of effort is post-delivery including documentation.
This document provides an overview of key concepts in the field of software engineering. It defines software engineering as the application of systematic and disciplined approaches to software development, operation, and maintenance. The document discusses the importance of software engineering in producing reliable and economical software. It also summarizes essential attributes of good software such as maintainability, dependability, efficiency, and acceptability. Additionally, the document outlines a generic software engineering process framework involving activities like communication, planning, modeling, construction, and deployment. It notes that the process should be adapted to the specific project.
Srs (software requirement specification) in software engineering basics by ra...Ram Paliwal
The document discusses software requirement specification (SRS), which defines the necessary functional and non-functional requirements for a software system from the user's perspective. An SRS is developed through an agreement between the customer and contractors. It should have characteristics like correctness, completeness, consistency, unambiguity, modifiability, verifiability and testability. The SRS is used to guide software development and testing.
The COCOMO model is a widely used software cost estimation model that predicts development effort and schedule based on project attributes. It includes basic, intermediate, and detailed models of increasing complexity. The intermediate model estimates effort as a function of source lines of code and cost drivers. The detailed model further incorporates the impact of cost drivers on development phases. COCOMO 2 expands on this with application composition, early design, reuse, and post-architecture models for different project stages.
The document discusses the Rapid Application Development (RAD) model. It describes the RAD model as an incremental development model where components are developed in parallel as mini-projects and delivered quickly to get early customer feedback. The phases of the RAD model include business modeling, data modeling, process modeling, application generation, and testing. The RAD model aims to reduce development time, increase reusability, and encourage early customer feedback through quick iterations. However, it requires highly skilled developers and designers and is costly to implement.
This document provides an overview of software engineering. It begins by defining software engineering as the application of engineering principles and methods to the development of software. It then discusses some key aspects of software engineering like the software development life cycle, software project management, and paradigms. Finally, it outlines some important characteristics of good software like usability, efficiency, correctness, portability and maintainability.
The document discusses the key phases in the software development process:
1) Requirement analysis involves understanding the problem and specifying requirements.
2) Design plans the solution and produces blueprints through system and detailed design.
3) Coding translates the design into code.
4) Testing detects errors through unit, integration, acceptance and regression testing.
5) Maintenance fixes defects and adapts the software after delivery. Proper documentation and defined processes are needed for large, long-term software projects involving many people.
The document discusses software engineering and the software development life cycle. It defines software engineering as applying engineering concepts to software development, with the primary purpose of creating, improving, and maintaining software. The software development life cycle involves initial client contact, development, and maintenance. It then outlines the typical steps in the process: understanding requirements, requirements analysis, design, coding/testing/installation, and maintenance. The document also lists some benefits of software engineering like improved quality and reliability, and limitations such as lack of unit testing and intensive training needs.
This document discusses software products and their characteristics. It defines a software product as a combination of goods and services that a vendor provides to a customer. The document outlines key characteristics of software products, including their size, quality, and functionality. It also describes the different types of software products, development lifecycles, and standards (ISO 9126) for evaluating characteristics like functionality, reliability, usability, efficiency and portability.
Software reuse can take many forms from simple code reuse to complete application reuse. There are various levels of reuse including components, frameworks, libraries, services, patterns and full applications. The optimal approach depends on the available software, skills, and needs of the organization, with factors like schedule, lifetime, team, criticality and domain determining the best fit. Software reuse provides a cost-effective way to develop software.
This document discusses methods for rapid software development. It covers topics like agile methods, extreme programming, rapid application development, and software prototyping. Some key points made are:
- Rapid development is needed to quickly respond to changing business needs, even if it means lower initial quality.
- Agile methods focus on iterative development and early delivery of working software that can evolve rapidly based on changing requirements.
- Rapid application development uses tools that facilitate rapid creation of interfaces and reports linked to a database.
- Visual programming allows rapid prototyping through a graphical interface but can cause coordination and maintenance issues for large projects.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
The document provides an overview of the Software Engineering course for the second semester of the second year (B.Tech IT/II Sem-II). It includes details about the term, text books, unit syllabus, index of topics, and slides covering introductions to software engineering, the changing nature of software, software myths, generic views of process, the Capability Maturity Model Integration and personal and team software processes.
This document provides an overview of software engineering concepts including what software and software engineering are, the software process and models, system engineering processes, and emergent system properties. It discusses the waterfall model, evolutionary development, and spiral development as software process models. The key stages of the system engineering process are defined as system requirement definition, system design, subsystem development, system integration, and system evolution. Non-functional properties like reliability, performance, safety and security are described as important emergent system properties.
The document describes different software development process models including the waterfall model, prototyping model, incremental development, spiral development, agile methods, and extreme programming. It explains each model and compares their advantages and disadvantages. The waterfall model is most appropriate when requirements are stable while agile methods are best for changing requirements but can be difficult to manage.
This document provides an introduction to software engineering. It discusses the evolving role of software, characteristics of software like correctness and maintainability, and categories of software like system software and web applications. It also covers legacy software, common software myths, project management processes, and challenges with project estimation. The key aspects of software engineering like the definition, development, and maintenance phases are summarized.
This document provides an overview of software engineering and related topics covered in multiple units. Unit 1 discusses the nature of software, web applications, software engineering, software processes, agile development, and process models. It defines software and discusses its unique characteristics compared to hardware. Unit 1 also covers topics like legacy software, agile development principles, and generic and specialized software process models. Subsequent units cover requirements engineering, software design, user interface design, software testing, and other software engineering principles and practices.
This document provides an overview of software engineering and related topics covered in multiple units. Unit 1 discusses the nature of software, web applications, software engineering, software processes, agile development, and process models. It defines software and discusses its unique characteristics compared to hardware. Unit 1 also covers topics like legacy software, agile development principles, and generic and specialized software process models. Subsequent units cover requirements engineering, software design, user interface design, software testing, and other software engineering topics.
Software engineering is the application of engineering principles and methods to the development of software. It involves developing software products using well-defined scientific principles, methods, and procedures. The role of software has evolved significantly over the past 50 years from standalone programs to complex systems that deliver both information and control functions. Addressing the "software crisis" of the 1960s required treating software development as an engineering discipline with processes, documentation, and quality assurance rather than an art. Applying software engineering principles and practices was seen as a solution to issues like projects running over budget and schedule, producing inefficient and low-quality software that did not meet requirements.
The document discusses the field of software engineering. It begins by explaining how the concept of software engineering emerged in response to the "software crisis" of the 1960s, when individual approaches to program development did not scale well to large, complex software systems. Throughout the 1970s and 1980s, new software engineering techniques were developed, such as structured programming and object-oriented development. The document then provides definitions and descriptions of key concepts in software engineering, including the software engineering process, types of software applications, issues that affect software development, and professional responsibilities of software engineers.
Software engineering a practitioners approach 8th edition pressman solutions ...Drusilla918
Full clear download( no error formatting) at: https://goo.gl/XmRyGP
software engineering a practitioner's approach 8th edition pdf free download
software engineering a practitioner's approach 8th edition ppt
software engineering a practitioner's approach 6th edition pdf
software engineering pressman 9th edition pdf
software engineering a practitioner's approach 9th edition
software engineering a practitioner's approach 9th edition pdf
software engineering a practitioner's approach 7th edition solution manual pdf
roger s. pressman
This document summarizes common software myths and realities. It discusses six myths: 1) that standards and procedures are enough to produce good programs, 2) that new hardware ensures good software, 3) that adding programmers to a late project finishes it on time, 4) that general objectives are enough to begin programming, 5) that software is flexible enough to handle continuous changes, and 6) that the job is done once a program works. For each, it provides the reality, such as that people don't always follow standards, tools are more important than hardware, adding people makes projects later, detailed requirements are needed upfront, changes are costly, and 50-70% of effort is post-delivery including documentation.
This document provides an overview of key concepts in the field of software engineering. It defines software engineering as the application of systematic and disciplined approaches to software development, operation, and maintenance. The document discusses the importance of software engineering in producing reliable and economical software. It also summarizes essential attributes of good software such as maintainability, dependability, efficiency, and acceptability. Additionally, the document outlines a generic software engineering process framework involving activities like communication, planning, modeling, construction, and deployment. It notes that the process should be adapted to the specific project.
Srs (software requirement specification) in software engineering basics by ra...Ram Paliwal
The document discusses software requirement specification (SRS), which defines the necessary functional and non-functional requirements for a software system from the user's perspective. An SRS is developed through an agreement between the customer and contractors. It should have characteristics like correctness, completeness, consistency, unambiguity, modifiability, verifiability and testability. The SRS is used to guide software development and testing.
The COCOMO model is a widely used software cost estimation model that predicts development effort and schedule based on project attributes. It includes basic, intermediate, and detailed models of increasing complexity. The intermediate model estimates effort as a function of source lines of code and cost drivers. The detailed model further incorporates the impact of cost drivers on development phases. COCOMO 2 expands on this with application composition, early design, reuse, and post-architecture models for different project stages.
The document discusses the Rapid Application Development (RAD) model. It describes the RAD model as an incremental development model where components are developed in parallel as mini-projects and delivered quickly to get early customer feedback. The phases of the RAD model include business modeling, data modeling, process modeling, application generation, and testing. The RAD model aims to reduce development time, increase reusability, and encourage early customer feedback through quick iterations. However, it requires highly skilled developers and designers and is costly to implement.
This document provides an overview of software engineering. It begins by defining software engineering as the application of engineering principles and methods to the development of software. It then discusses some key aspects of software engineering like the software development life cycle, software project management, and paradigms. Finally, it outlines some important characteristics of good software like usability, efficiency, correctness, portability and maintainability.
The document discusses the key phases in the software development process:
1) Requirement analysis involves understanding the problem and specifying requirements.
2) Design plans the solution and produces blueprints through system and detailed design.
3) Coding translates the design into code.
4) Testing detects errors through unit, integration, acceptance and regression testing.
5) Maintenance fixes defects and adapts the software after delivery. Proper documentation and defined processes are needed for large, long-term software projects involving many people.
The document discusses software engineering and the software development life cycle. It defines software engineering as applying engineering concepts to software development, with the primary purpose of creating, improving, and maintaining software. The software development life cycle involves initial client contact, development, and maintenance. It then outlines the typical steps in the process: understanding requirements, requirements analysis, design, coding/testing/installation, and maintenance. The document also lists some benefits of software engineering like improved quality and reliability, and limitations such as lack of unit testing and intensive training needs.
This document discusses software products and their characteristics. It defines a software product as a combination of goods and services that a vendor provides to a customer. The document outlines key characteristics of software products, including their size, quality, and functionality. It also describes the different types of software products, development lifecycles, and standards (ISO 9126) for evaluating characteristics like functionality, reliability, usability, efficiency and portability.
Software reuse can take many forms from simple code reuse to complete application reuse. There are various levels of reuse including components, frameworks, libraries, services, patterns and full applications. The optimal approach depends on the available software, skills, and needs of the organization, with factors like schedule, lifetime, team, criticality and domain determining the best fit. Software reuse provides a cost-effective way to develop software.
This document discusses methods for rapid software development. It covers topics like agile methods, extreme programming, rapid application development, and software prototyping. Some key points made are:
- Rapid development is needed to quickly respond to changing business needs, even if it means lower initial quality.
- Agile methods focus on iterative development and early delivery of working software that can evolve rapidly based on changing requirements.
- Rapid application development uses tools that facilitate rapid creation of interfaces and reports linked to a database.
- Visual programming allows rapid prototyping through a graphical interface but can cause coordination and maintenance issues for large projects.
This document provides an introduction to software engineering. It discusses how software engineering is concerned with the development and maintenance of software through professional practices and methods. It notes that software costs, especially maintenance costs, are a large part of overall system costs. The document then discusses different types of software products and specifications, as well as frequently asked questions about software engineering. It emphasizes that software engineering principles should be applied to all types of software development.
The document provides an overview of the Software Engineering course for the second semester of the second year (B.Tech IT/II Sem-II). It includes details about the term, text books, unit syllabus, index of topics, and slides covering introductions to software engineering, the changing nature of software, software myths, generic views of process, the Capability Maturity Model Integration and personal and team software processes.
This document provides an overview of software engineering concepts including what software and software engineering are, the software process and models, system engineering processes, and emergent system properties. It discusses the waterfall model, evolutionary development, and spiral development as software process models. The key stages of the system engineering process are defined as system requirement definition, system design, subsystem development, system integration, and system evolution. Non-functional properties like reliability, performance, safety and security are described as important emergent system properties.
The document describes different software development process models including the waterfall model, prototyping model, incremental development, spiral development, agile methods, and extreme programming. It explains each model and compares their advantages and disadvantages. The waterfall model is most appropriate when requirements are stable while agile methods are best for changing requirements but can be difficult to manage.
This document provides an introduction to software engineering. It discusses the evolving role of software, characteristics of software like correctness and maintainability, and categories of software like system software and web applications. It also covers legacy software, common software myths, project management processes, and challenges with project estimation. The key aspects of software engineering like the definition, development, and maintenance phases are summarized.
This document provides an overview of software engineering and related topics covered in multiple units. Unit 1 discusses the nature of software, web applications, software engineering, software processes, agile development, and process models. It defines software and discusses its unique characteristics compared to hardware. Unit 1 also covers topics like legacy software, agile development principles, and generic and specialized software process models. Subsequent units cover requirements engineering, software design, user interface design, software testing, and other software engineering principles and practices.
This document provides an overview of software engineering and related topics covered in multiple units. Unit 1 discusses the nature of software, web applications, software engineering, software processes, agile development, and process models. It defines software and discusses its unique characteristics compared to hardware. Unit 1 also covers topics like legacy software, agile development principles, and generic and specialized software process models. Subsequent units cover requirements engineering, software design, user interface design, software testing, and other software engineering topics.
Software engineering is the application of engineering principles and methods to the development of software. It involves developing software products using well-defined scientific principles, methods, and procedures. The role of software has evolved significantly over the past 50 years from standalone programs to complex systems that deliver both information and control functions. Addressing the "software crisis" of the 1960s required treating software development as an engineering discipline with processes, documentation, and quality assurance rather than an art. Applying software engineering principles and practices was seen as a solution to issues like projects running over budget and schedule, producing inefficient and low-quality software that did not meet requirements.
The document discusses the field of software engineering. It begins by explaining how the concept of software engineering emerged in response to the "software crisis" of the 1960s, when individual approaches to program development did not scale well to large, complex software systems. Throughout the 1970s and 1980s, new software engineering techniques were developed, such as structured programming and object-oriented development. The document then provides definitions and descriptions of key concepts in software engineering, including the software engineering process, types of software applications, issues that affect software development, and professional responsibilities of software engineers.
This document describes an online programming environment that allows users to write, edit, compile and run programs without installing software locally. It discusses how online compilers reduce hardware costs and management efforts by hosting programming tools on a server. The proposed system uses Java, CSS, GCC, HTML and XAMPP to create a web-based IDE that supports compiling programs in C and Java. It provides a single editor for all languages and can be accessed from any device with an internet connection, eliminating operating system compatibility issues. The system aims to offer a more flexible environment for developing programs in multiple languages.
This document provides an introduction to software engineering. It defines software as computer programs, documentation, and data structures. Software can be generic, developed for a general market, or bespoke (custom), developed for a single customer. The document also discusses what software engineering is, the difference between software engineering and computer science, the costs of software engineering, software engineering methods, CASE tools, attributes of good software, types of software applications, and characteristics of web applications.
The document provides an introduction to software engineering concepts. It discusses how software engineering aims to develop reliable software products using well-defined scientific principles and methods. It covers software evolution, different software paradigms including development, design and programming paradigms. It also discusses different software life cycle models like waterfall, incremental, prototyping and spiral models. Finally, it talks about characteristics of good software products and causes of software crisis.
1. Emergence of Software EngineeringIn the software industry, we.docxjackiewalcutt
1. Emergence of Software Engineering
In the software industry, we have seen the complexity of computer-based systems increase dramatically over the past decades along with advances in technology. This new technology has increased the demand for computer-based systems to control many infrastructures with software. As a result, designing and building cost-effective, reliable, and high-quality software has become the focus of software engineering in the computer industry.
In the past the processes used for designing and developing software were very informal, which contributed to the rise in development and maintenance costs. The results of ad hoc development processes contributed to a higher percentage of unreliable and lesser quality products entering the marketplace. Many accidents resulted from failures in computer-based systems with hardware devices that were controlled with software. At the time, the industry was considered to be in a crisis state, which then led to the emergence of new practices and methods in software engineering.
Technological advances have had a big impact on the complexity level required in software systems. The emergence of new communication protocols, hardware devices, and graphical user interface components have placed a greater demand on software engineers to design quality, reliable, and safe software.
A Brief History of Software Engineering
In the 1950s and the early 1960s, the various engineering disciplines were beginning to analyze how aspects of the engineering field could be applied to methods used in developing software products. As computing power evolved over the decades, the demand increased along with the complexity of the problems that needed to be addressed in the design of software. The term software engineering was introduced in 1968 at the first international software engineering conference, held by the North Atlantic Treaty Organization (NATO) Science Committee (Mahoney 2004). Many practitioners believe this is the milestone that marked the emergence of the software engineering discipline.
Software was developed to control critical hardware devices in the mid- to late-1960s and early 1970s. During this time, cases emerged that involved operational errors and accidents resulting in the loss of human lives and damage to property. Defects in software were uncovered, which heightened public awareness to the need for better quality and reliability of software. The escalating cost of building quality and reliable software was on the rise in the computer industry and the demand for skilled programmers could not be met. The state of software development was viewed by practitioners as being in a "crisis" state and was commonly referred to as the software crisis.
In response to the software crisis, researchers and practitioners have been trying to develop a set of methodologies, processes, and tools as the "silver bullet" for building software. The combination of these methodologies, processes, and tools i ...
This document provides an introduction to software engineering. It discusses the key concepts of software engineering including its history, important activities like specification and development, attributes of good software like maintainability and security, different types of software systems, and how fundamental principles apply across systems. It also addresses how the rise of web-based systems and services has impacted software engineering practices.
This document provides an overview of software engineering and its models. It discusses the evolution of software engineering from the 1960s to present day. It describes key software engineering concepts like the software development life cycle, capability maturity models, and various software development models including waterfall, iterative enhancement, prototyping, spiral, and RAD approaches. The document emphasizes that software engineering applies systematic and disciplined processes to software development in order to address challenges like increasing complexity, high costs, and quality issues.
The document describes a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, and learning resources. The key objectives are to understand software processes, requirements engineering, object-oriented concepts, software design, testing, and project management techniques. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, testing, and project management over 5 units. Recommended textbooks and online references are also provided.
The document provides information about a course on software engineering taught by Dr. P. Visu at Velammal Engineering College. It includes the course objectives, outcomes, syllabus, textbooks and references. The objectives are to understand software project phases, requirements engineering, object-oriented concepts, enterprise integration and various testing and project management techniques. The outcomes cover comparing process models, formulating requirements engineering concepts, understanding object-oriented fundamentals, applying software design systematically, and evaluating project schedules and costs. The syllabus covers topics like software processes, requirements analysis, object-oriented concepts, software design, and testing and management over 5 units.
Software Engineering - Ch1 introduction
This material is based on chapter 1 of “Software Engineering (l0th Edition)” by Ian Sommerville. Addison Wesley, 2015, ISBN-10: 0137035152.
https://iansommerville.com/software-engineering-book/
“Scrumbear” framework for solving traditional scrum model problemsjournalBEEI
Software engineering is a discipline that is little understood by people. It defines how software is developed and maintained to meet the clients’ requirements. Software engineers follow certain systems and standards in their work to meet the clients’ desires. It is on this background that engineers follow specific models in coming up with the final product. One of the models highly used is scrum, which is one of the agile methodologies. However, despite being highly used, it has inherent flaws that need to be corrected. Those flaws are product owner continues changing; do not accept changes in working scrum, sprint’s release time limitation, finally wasting team time within each sprint. This paper presents a new framework, which is an updated version of the current Scrum, to overcome the scum models mentioned issues. In this study, a new framework is presented in a way that is understandable and needed by software developer’s team upon the collected qualitative and quantitative data. The implementation was by making some changes to the current scrum model leading to the “Scrumbear”, certain flaws can be corrected. One of the presented changes involve adding the control master rule to ensure controlling the requirements changing.
This document provides an overview of software and software engineering. It defines software, discusses why software is important to modern economies, and outlines some key characteristics of software such as its non-physical nature and tendency to deteriorate over time rather than wear out. The document also introduces common software applications, categories, and costs. Finally, it discusses the importance of software engineering in developing reliable, high-quality software economically.
This document provides an introduction and overview of key topics in software engineering. It discusses what software engineering is, the importance and costs of software development, different types of software projects and applications, and issues like complexity, security and scale that affect software. It also introduces software engineering processes, methods, and ethics. Common questions about the field are addressed. The document is the first chapter of a book on software engineering.
This document provides an overview of software and software engineering. It defines software, discusses why software is important, and explores key software engineering concepts like the software development process, process models, case studies, and requirements. Specifically, it defines software, explains that software engineering aims to produce reliable software economically, and discusses the importance of processes and methods in software development.
This document provides an introduction to a course on software engineering. It discusses key topics that will be covered in the course including software process models, requirement engineering, software design, quality engineering, project management, and maintenance. It also outlines the course structure, learning outcomes, assessment criteria, and references. The course aims to introduce students to fundamental software engineering principles and practices.
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Operating system basics function of os unit 1 by ram k paliwal part 1Ram Paliwal
The document discusses the basics of operating systems and computer systems. It defines an operating system as a program that manages a computer's hardware and acts as an intermediary between the user and computer. A computer system consists of hardware components like the CPU and memory, an operating system, application programs, and users. The operating system controls hardware usage and coordinates application programs for users. It describes functions of the operating system like memory management, device management, processor management, file management, and security.
E-commerce involves the exchange of goods and services over electronic systems like the internet. It requires products or services to sell, a way to accept orders and payments, fulfillment of orders, and customer service. There are four main categories of e-commerce: business to business, business to consumer, consumer to consumer, and consumer to business. Key drivers include technology, policies, skills, economics, and competition. Benefits include lower costs, larger markets, and improved customer interactions, while limitations relate to security, access, standards, and lack of human interaction.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
2. Computer Software
What is IT?
Computer software is the product that software professionals build and then
support over the long term. It encompasses programs that execute within a
computer of any size and architecture, content that is presented as the
computer programs execute, and descriptive information in both hard copy and
virtual forms that encompass virtually any electronic media. Software
engineering encompasses a process, a collection of methods (practice) and an
array of tools that allow professionals to build high quality computer software.
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3. Computer Software
Who does it?
Software engineers build and support software, and virtually everyone in
the industrialized world uses it either directly or indirectly.
Why is it Important?
Software is important because it affects nearly every aspect of our lives
and has become pervasive in our commerce, our culture, and our
everyday activities. Software engineering is important because it enables
us to build complex systems in a timely manner and with high quality.
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4. Computer Software
What are the steps?
You build computer software like you build any successful product, by
applying an agile, adaptable process that leads to a high-quality result that
meets the needs of the people who will use the product. You apply a
software engineering approach.
What is the work product?
From the point of view of a software engineer, the work product is the set
of programs, content (data), and other work products that are computer
software. But from the user’s viewpoint, the work product is the resultant
information that somehow makes the user’s world better
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5. Software Crisis
Software Crisis is a term used in computer science for the
difficulty of writing useful and efficient computer programs
in the required time .software crisis was due to using same
workforce, same methods, same tools even though rapidly
increasing in software demand, complexity of software and
software challenges. With increase in the complexity of
software, many software problems arose because existing
methods were insufficient.
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7. Software Crisis
Causes of Software Crisis:
1. The cost of owning and maintaining software was as expensive as developing the
software
2. At that time Projects was running over-time
3. At that time Software was very inefficient
4. The quality of software was low quality
5. Software often did not meet requirements
6. The average software project overshoots its schedule by half
7. At that time Software was never delivered
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8. Solution of Software Crisis:
There is no single solution to the crisis. One possible solution of software crisis
is Software Engineering because software engineering is a systematic,
disciplined and quantifiable approach. For preventing software crisis, there are
some guidelines:
1. Reduction in software over-budget
2. The quality of software must be high
3. Less time needed for software project
4. Experience working team member on software project
5. Software must be delivered
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9. Software Engineering
Although hundreds of authors have developed personal
definitions of software engineering, a definition proposed
by Fritz Bauer at the seminal conference on the subject still
serves as a basis for discussion:
[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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10. Software Engineering
The IEEE [IEE93a] has developed a more comprehensive
definition when it states:
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).
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12. Software Engineering
The Quality Focus:
Any engineering approach (including software engineering) must rest
on an organizational commitment to quality. Total quality
management, Six Sigma, and similar philosophies foster a continuous
process improvement culture, and it is this culture that ultimately
leads to the development of increasingly more effective approaches
to software engineering. The bedrock that supports software
engineering is a quality focus.
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13. Software Engineering
Process:
The foundation for software engineering is the process layer. The software
engineering process is the glue that holds the technology layers together
and enables rational and timely development of computer software.
Process defines a framework. that must be established for effective
delivery of software engineering technology.
The software process forms the basis for management control of software
projects and establishes the context in which technical methods are
applied, work products (models, documents, data, reports, forms, etc.)
are produced, milestones are established, quality is ensured, and change
is properly managed.
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14. Software Engineering
Methods:
Software engineering methods provide the technical how-to’s for
building software. Methods encompass a broad array of tasks that
include communication, requirements analysis, design modeling,
program construction, testing, and support. Software engineering
methods rely on a set of basic principles that govern each area of the
technology and include modeling activities and other descriptive
techniques.
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15. Software Engineering
Tools:
Software engineering tools provide automated or semi
automated support for the process and the methods. When
tools are integrated so that information created by one tool
can be used by another, a system for the support of
software development, called computer-aided software
engineering, is established.
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software is an information transformer—producing, managing, acquiring, modifying, displaying, or transmitting information that can be as simple as a single bit or as complex as a multimedia presentation derived from data acquired from dozens of independent sources. As the vehicle used to deliver the product, software acts as the basis for the control of the computer (operating systems), the communication of information (networks), and the creation and control of other programs (software tools and environments).
Computer software continues to be the single most important technology on the world stage. And it’s also a prime example of the law of unintended consequences. Fifty years ago no one could have predicted that software would become an indispensable technology for business, science, and engineering; that software would enable the creation of new technologies (e.g., genetic engineering and nanotechnology), the extension of existing technologies (e.g., telecommunications), and the radical change in older technologies (e.g., the printing industry); that software would be the driving force behind the personal computer revolution; that shrink-wrapped software products would be purchased by consumers in neighborhood malls; that software would slowly evolve from a product to a service as “on-demand” software companies deliver just-in-time functionality via a Web browser;
No one could foresee that software would become embedded in systems of all kinds: transportation, medical, telecommunications, military, industrial, entertainment, office machines, . . . the list is almost endless. And if you believe the law of unintended consequences, there are many effects that we cannot yet predict.
No one could predict that millions of computer programs would have to be corrected, adapted, and enhanced as time passed. The burden of performing these “maintenance” activities would absorb more people and more resources than all work applied to the creation of new software.
You will be tempted to add to this definition. It says little about the technical aspects of software quality; it does not directly address the need for customer satisfaction or timely product delivery; it omits mention of the importance of measurement and metrics; it does not state the importance of an effective process. And yet, Bauer’s definition provides us with a baseline. What are the “sound engineering principles” that can be applied to computer software development? How do we “economically” build software so that it is “reliable”? What is required to create computer programs that work “efficiently” on not one but many different “real machines”? These are the questions that continue to challenge software engineers.
And yet, a “systematic, disciplined, and quantifiable” approach applied by one software team may be burdensome to another. We need discipline, but we also need adaptability and agility.