SDLC Models(Process Models)
Usage, Advantages/Disadvantages of each
1. Big Bang Model
2. Waterfall model
3. V-Model
4. Iterative Model
5. Prototyping Model
6. Spiral Model
IT1204 - Software Engineering L3- ExtendedBakerTilly US
This document provides an overview of the agile methodology known as Scrum. It defines key Scrum terms like product backlog, sprint, daily scrum, and sprint review. It describes the Scrum framework which includes events like sprint planning and retrospectives. It also outlines the Scrum artifacts like product backlog and increment. Finally, it identifies the three Scrum roles of product owner, Scrum master, and development team.
“Requirements” ? - According to IEEE standard 729
Importance of Requirement Specification
Boundary of two worlds
Why is it so Hard?
Building the right system right
Requirement may solve the dual function
Requirements
Type of Requirements
Types of System/Software Requirements
Requirement Engineering
Problems with natural language
The Requirements Engineering Process
Feasibility Study
Feasibility study issues
Requirements Elicitation
Requirements Analysis
Requirements Specifications
Requirements Validation and Verification
Validation Vs. Verification
The document discusses software project management. It describes how software project management enables groups of engineers to work efficiently and ensures projects are delivered on time, on budget, and meet requirements. It also discusses key aspects of project management like planning, scheduling, estimating, risk management, and maintaining schedules. Effective software project management focuses on people, problems, and processes.
IT1204- Introduction to software engineering - L1BakerTilly US
The document is a presentation on software engineering that covers topics such as:
- The definitions of engineering and software engineering;
- The process of software evolution;
- Categories of software by Lehman;
- Software engineering paradigms and the software development life cycle (SDLC);
- Characteristics of good software including operational, transitional, and maintenance characteristics;
- The history of software engineering from 1945 to 2015.
IT1206 - Object Oriented Analysis and Design-L2 (Lab session 01)BakerTilly US
This document discusses object oriented analysis and design (OOAD) and the procedural paradigm. It introduces flowcharts as a way to visually represent algorithms and includes several flowchart examples. It also provides requirements for an online gift ordering system involving customers, an online store, suppliers, and delivery services. The requirements outline the needs and processes for each entity in the gift ordering workflow.
The document discusses software re-engineering and provides details about the re-engineering process. It defines software re-engineering as reorganizing and modifying existing software systems to make them more maintainable. The key advantages of re-engineering are that it reduces risk and costs compared to developing new software, and can increase productivity. The document also outlines some of the main activities involved in software re-engineering, including source code translation, database reorganization, and adding new functionality.
SDLC Models(Process Models)
Usage, Advantages/Disadvantages of each
1. Big Bang Model
2. Waterfall model
3. V-Model
4. Iterative Model
5. Prototyping Model
6. Spiral Model
IT1204 - Software Engineering L3- ExtendedBakerTilly US
This document provides an overview of the agile methodology known as Scrum. It defines key Scrum terms like product backlog, sprint, daily scrum, and sprint review. It describes the Scrum framework which includes events like sprint planning and retrospectives. It also outlines the Scrum artifacts like product backlog and increment. Finally, it identifies the three Scrum roles of product owner, Scrum master, and development team.
“Requirements” ? - According to IEEE standard 729
Importance of Requirement Specification
Boundary of two worlds
Why is it so Hard?
Building the right system right
Requirement may solve the dual function
Requirements
Type of Requirements
Types of System/Software Requirements
Requirement Engineering
Problems with natural language
The Requirements Engineering Process
Feasibility Study
Feasibility study issues
Requirements Elicitation
Requirements Analysis
Requirements Specifications
Requirements Validation and Verification
Validation Vs. Verification
The document discusses software project management. It describes how software project management enables groups of engineers to work efficiently and ensures projects are delivered on time, on budget, and meet requirements. It also discusses key aspects of project management like planning, scheduling, estimating, risk management, and maintaining schedules. Effective software project management focuses on people, problems, and processes.
IT1204- Introduction to software engineering - L1BakerTilly US
The document is a presentation on software engineering that covers topics such as:
- The definitions of engineering and software engineering;
- The process of software evolution;
- Categories of software by Lehman;
- Software engineering paradigms and the software development life cycle (SDLC);
- Characteristics of good software including operational, transitional, and maintenance characteristics;
- The history of software engineering from 1945 to 2015.
IT1206 - Object Oriented Analysis and Design-L2 (Lab session 01)BakerTilly US
This document discusses object oriented analysis and design (OOAD) and the procedural paradigm. It introduces flowcharts as a way to visually represent algorithms and includes several flowchart examples. It also provides requirements for an online gift ordering system involving customers, an online store, suppliers, and delivery services. The requirements outline the needs and processes for each entity in the gift ordering workflow.
The document discusses software re-engineering and provides details about the re-engineering process. It defines software re-engineering as reorganizing and modifying existing software systems to make them more maintainable. The key advantages of re-engineering are that it reduces risk and costs compared to developing new software, and can increase productivity. The document also outlines some of the main activities involved in software re-engineering, including source code translation, database reorganization, and adding new functionality.
This presentation describes a course on Software Project Management developed by the author. The course combines the general project management standard PMBOK® with specific software engineering practices.
Link to paper: http://www.cs.technion.ac.il/~tomera/publications/Tomer_EDUCON_2014_V02.pdf
This document provides an overview of software engineering concepts. It defines software engineering as the application of engineering principles to software development. It discusses the differences between software programming and software engineering. The roles of a software engineer are also outlined, which include adopting a systematic approach and using appropriate tools and techniques. The document also discusses related disciplines like web engineering, programming languages, and databases. It covers challenges in the field, professional ethics, and how software engineering has changed over time.
The document provides an overview of the history and development of the Software Engineering Code of Ethics. It discusses how a joint steering committee was formed in 1994 by the IEEE and ACM to establish standard definitions and ethical standards for software engineering. This led to the formation of an international task force to draft the code. Several drafts were reviewed by the professional societies, and Version 5.2 was unanimously adopted in 1998. The code establishes 8 fundamental principles for software engineers regarding their products, public welfare, professional judgment, obligations to employers and clients, management duties, responsibilities to the profession and colleagues, and personal development.
This document provides an overview and introduction to the book "Software Engineering: A Hands-On Approach" by Roger Y. Lee. The book aims to teach key principles of software engineering through hands-on learning and a project-based approach. It uses common tools like the Unified Modeling Language and object-oriented design patterns. The book is divided into two parts - the first introduces software engineering concepts, and the second guides readers through a software project from requirements to implementation and testing. The goal is to help students bridge the gap between academic learning and real-world practice of software engineering.
Software Engineering Code Of Ethics And Professional PracticeSaqib Raza
This document outlines the Software Engineering Code of Ethics and Professional Practice established jointly by the IEEE Computer Society and the Association for Computing Machinery. The code consists of 8 principles related to a software engineer's responsibilities to the public, clients/employers, products, professional judgment, management, profession, colleagues, and self-development. It provides guidance on ethical issues like ensuring software quality and safety, avoiding conflicts of interest, crediting colleagues' work, and participating in lifelong learning to improve skills. The goal is to establish standards of conduct for software engineers to make the profession beneficial and respected.
This lecture include detail about engineering especially software engineering profession. include common and mostly used schema to develop organisational structure.
This document summarizes the key topics from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering and explains its importance in developed economies. It discusses what software engineering entails, how it differs from computer science and system engineering. It also covers software processes and models, costs of software development, methods and CASE tools. Finally, it discusses professional responsibilities and ethical issues for software engineers.
Software requirements engineering problems and challenges erp implementation as a case study:
Requirements Engineering
Why are Requirements so important?
Purpose of Requirements Engineering
RE process inputs and outputs
Requirements Engineering Activities
Requirements Quality
Requirements quality indicators
Systems RE Standards
Requirements problems and challenges
Research Strategies in RE
RE Research directions
Conclusion
Emertxe Certified Embedded Professional (ECEP) is a flagship program from Emertxe. This presentation talks about our continuous and holistic evaluation system that makes a student industry/job ready.
Requirements engineering faces inherent challenges due to changing requirements, differing stakeholder perspectives, lack of standardization, and political influences. Key issues include requirements constantly changing as the external environment evolves, stakeholders having conflicting views that must be reconciled, high variability between domains and organizations making process standardization difficult, and requirements sometimes being driven by internal politics rather than objective needs. Effective requirements engineering requires understanding and managing these challenges.
This document provides an overview of software engineering. It defines software engineering as an engineering discipline concerned with all aspects of software production. It discusses how the economies of developed nations depend on software and how software costs, including maintenance, often exceed development costs. It also summarizes common software processes, the differences between software, computer science and systems engineering, attributes of good software, and the role of computer-aided software engineering tools.
The document discusses systems development and analysis. It provides information on:
1) Why planning is important for systems development projects given failure rates.
2) The roles involved in systems development including stakeholders, users, systems analysts, and programmers.
3) What a systems analyst does which includes evaluating processes, documenting systems, and specifying requirements for programmers.
4) The typical systems development life cycle of investigation, analysis, design, implementation, and maintenance.
Rajmohan Arunachalam has over 15 years of experience in software development, maintenance, and product development. He currently works as a Program Manager at Larsen & Toubro Infotech Ltd, managing a team of 180 members. His responsibilities include project delivery, cost and risk management, and resource planning. He has strong skills in program management, applications development, systems administration, and network administration.
Lean Implementation on IT Infrastructure Monitoring SystemDio Pratama
Lean methods were implemented on an IT infrastructure monitoring system to improve accuracy and reduce waste. Key steps included identifying customer values, mapping the current monitoring process and waste, removing unnecessary monitoring activities, creating standard operating procedures, and implementing continuous improvement. After lean implementation, the system provided more accurate information with fewer alarms and events, while monitoring more devices. Lean reduced waste and helped achieve the expected values of quickly identifying problems, disrupted services and impacted business processes.
The document describes the requirement engineering process. It involves conducting a feasibility study, eliciting and analyzing requirements, modeling the system, specifying user and system requirements, and validating requirements. This leads to the creation of a software requirements specification document. Key activities include gathering requirements through stakeholder interviews, modeling system data, functions, and behaviors, and documenting all requirements and models.
An overview of software requirements engineeringIan Sommerville
Requirements engineering involves discovering, documenting, and maintaining requirements for computer systems. Requirements specify what should be implemented or constrain the system. Getting requirements wrong can lead to late delivery, unhappy customers, unreliable systems, and high maintenance costs. Requirements engineering is difficult because stakeholder needs change rapidly, stakeholders have different goals, and political factors influence requirements.
The document discusses the importance of requirements gathering for project success. It notes that 70-80% of project failures can be attributed to poor requirements gathering, analysis, and management. While requirements gathering is critical, it is often overlooked or not allocated enough time. The document provides five key components of effective requirements gathering: clearly defining requirements before scope, identifying project and product requirements, adequately documenting requirements, selecting the right methodology, and engaging diverse users. It emphasizes that requirements gathering lays the foundation for a successful project.
This document provides an introduction to software engineering and software project management. It defines software, software engineering, and a software process. Software engineering is described as the application of systematic and quantifiable approaches to software development, operation, and maintenance. A software process involves specification, requirements, development, validation, and evolution phases. Software project management is defined as the art and science of planning and leading software projects, and involves activities like proposal writing, planning, costing, monitoring, and personnel management. Key phases of software project management are planning, organizing, monitoring, and adjusting.
Systems Engineering is a very broad , overarching, and generally applicable engineering discipline. Many types of systems are developed using SE. These include biomedical systems, space vehicle systems, weapon systems, transportation systems, and so on.
Systems Engineering involves the coordination of work performed by engineers from all other engineering disciplines (electrical, mechanical, computer, software, etc.) as required to complete the engineering work on the project/program.
This presentation describes a course on Software Project Management developed by the author. The course combines the general project management standard PMBOK® with specific software engineering practices.
Link to paper: http://www.cs.technion.ac.il/~tomera/publications/Tomer_EDUCON_2014_V02.pdf
This document provides an overview of software engineering concepts. It defines software engineering as the application of engineering principles to software development. It discusses the differences between software programming and software engineering. The roles of a software engineer are also outlined, which include adopting a systematic approach and using appropriate tools and techniques. The document also discusses related disciplines like web engineering, programming languages, and databases. It covers challenges in the field, professional ethics, and how software engineering has changed over time.
The document provides an overview of the history and development of the Software Engineering Code of Ethics. It discusses how a joint steering committee was formed in 1994 by the IEEE and ACM to establish standard definitions and ethical standards for software engineering. This led to the formation of an international task force to draft the code. Several drafts were reviewed by the professional societies, and Version 5.2 was unanimously adopted in 1998. The code establishes 8 fundamental principles for software engineers regarding their products, public welfare, professional judgment, obligations to employers and clients, management duties, responsibilities to the profession and colleagues, and personal development.
This document provides an overview and introduction to the book "Software Engineering: A Hands-On Approach" by Roger Y. Lee. The book aims to teach key principles of software engineering through hands-on learning and a project-based approach. It uses common tools like the Unified Modeling Language and object-oriented design patterns. The book is divided into two parts - the first introduces software engineering concepts, and the second guides readers through a software project from requirements to implementation and testing. The goal is to help students bridge the gap between academic learning and real-world practice of software engineering.
Software Engineering Code Of Ethics And Professional PracticeSaqib Raza
This document outlines the Software Engineering Code of Ethics and Professional Practice established jointly by the IEEE Computer Society and the Association for Computing Machinery. The code consists of 8 principles related to a software engineer's responsibilities to the public, clients/employers, products, professional judgment, management, profession, colleagues, and self-development. It provides guidance on ethical issues like ensuring software quality and safety, avoiding conflicts of interest, crediting colleagues' work, and participating in lifelong learning to improve skills. The goal is to establish standards of conduct for software engineers to make the profession beneficial and respected.
This lecture include detail about engineering especially software engineering profession. include common and mostly used schema to develop organisational structure.
This document summarizes the key topics from the first chapter of Ian Sommerville's Software Engineering textbook. It introduces software engineering and explains its importance in developed economies. It discusses what software engineering entails, how it differs from computer science and system engineering. It also covers software processes and models, costs of software development, methods and CASE tools. Finally, it discusses professional responsibilities and ethical issues for software engineers.
Software requirements engineering problems and challenges erp implementation as a case study:
Requirements Engineering
Why are Requirements so important?
Purpose of Requirements Engineering
RE process inputs and outputs
Requirements Engineering Activities
Requirements Quality
Requirements quality indicators
Systems RE Standards
Requirements problems and challenges
Research Strategies in RE
RE Research directions
Conclusion
Emertxe Certified Embedded Professional (ECEP) is a flagship program from Emertxe. This presentation talks about our continuous and holistic evaluation system that makes a student industry/job ready.
Requirements engineering faces inherent challenges due to changing requirements, differing stakeholder perspectives, lack of standardization, and political influences. Key issues include requirements constantly changing as the external environment evolves, stakeholders having conflicting views that must be reconciled, high variability between domains and organizations making process standardization difficult, and requirements sometimes being driven by internal politics rather than objective needs. Effective requirements engineering requires understanding and managing these challenges.
This document provides an overview of software engineering. It defines software engineering as an engineering discipline concerned with all aspects of software production. It discusses how the economies of developed nations depend on software and how software costs, including maintenance, often exceed development costs. It also summarizes common software processes, the differences between software, computer science and systems engineering, attributes of good software, and the role of computer-aided software engineering tools.
The document discusses systems development and analysis. It provides information on:
1) Why planning is important for systems development projects given failure rates.
2) The roles involved in systems development including stakeholders, users, systems analysts, and programmers.
3) What a systems analyst does which includes evaluating processes, documenting systems, and specifying requirements for programmers.
4) The typical systems development life cycle of investigation, analysis, design, implementation, and maintenance.
Rajmohan Arunachalam has over 15 years of experience in software development, maintenance, and product development. He currently works as a Program Manager at Larsen & Toubro Infotech Ltd, managing a team of 180 members. His responsibilities include project delivery, cost and risk management, and resource planning. He has strong skills in program management, applications development, systems administration, and network administration.
Lean Implementation on IT Infrastructure Monitoring SystemDio Pratama
Lean methods were implemented on an IT infrastructure monitoring system to improve accuracy and reduce waste. Key steps included identifying customer values, mapping the current monitoring process and waste, removing unnecessary monitoring activities, creating standard operating procedures, and implementing continuous improvement. After lean implementation, the system provided more accurate information with fewer alarms and events, while monitoring more devices. Lean reduced waste and helped achieve the expected values of quickly identifying problems, disrupted services and impacted business processes.
The document describes the requirement engineering process. It involves conducting a feasibility study, eliciting and analyzing requirements, modeling the system, specifying user and system requirements, and validating requirements. This leads to the creation of a software requirements specification document. Key activities include gathering requirements through stakeholder interviews, modeling system data, functions, and behaviors, and documenting all requirements and models.
An overview of software requirements engineeringIan Sommerville
Requirements engineering involves discovering, documenting, and maintaining requirements for computer systems. Requirements specify what should be implemented or constrain the system. Getting requirements wrong can lead to late delivery, unhappy customers, unreliable systems, and high maintenance costs. Requirements engineering is difficult because stakeholder needs change rapidly, stakeholders have different goals, and political factors influence requirements.
The document discusses the importance of requirements gathering for project success. It notes that 70-80% of project failures can be attributed to poor requirements gathering, analysis, and management. While requirements gathering is critical, it is often overlooked or not allocated enough time. The document provides five key components of effective requirements gathering: clearly defining requirements before scope, identifying project and product requirements, adequately documenting requirements, selecting the right methodology, and engaging diverse users. It emphasizes that requirements gathering lays the foundation for a successful project.
This document provides an introduction to software engineering and software project management. It defines software, software engineering, and a software process. Software engineering is described as the application of systematic and quantifiable approaches to software development, operation, and maintenance. A software process involves specification, requirements, development, validation, and evolution phases. Software project management is defined as the art and science of planning and leading software projects, and involves activities like proposal writing, planning, costing, monitoring, and personnel management. Key phases of software project management are planning, organizing, monitoring, and adjusting.
Systems Engineering is a very broad , overarching, and generally applicable engineering discipline. Many types of systems are developed using SE. These include biomedical systems, space vehicle systems, weapon systems, transportation systems, and so on.
Systems Engineering involves the coordination of work performed by engineers from all other engineering disciplines (electrical, mechanical, computer, software, etc.) as required to complete the engineering work on the project/program.
System Design Phase
Conceptual Design vs Technical Design
Design Objectives
Elements of a System
Fundamental Principles
Design Approaches
Top-down vs Bottom-up
Sequencial Design Process
The document discusses different job roles in the software engineering industry, including software developer, software engineer, system analyst, business analyst, software tester, QA engineer, project manager, product manager, software architect, deployment engineer, database engineer, data analytics engineer, system engineer, and database administrator. For each role, it provides a brief 1-2 sentence description of typical responsibilities.
This document provides an overview of software engineering and development trends presented over 2 days of lectures and demos. It begins with introductions of the lecturer, Vladimir Kotov, and states the topic is software engineering and development FAQs. It then presents and defines key concepts in software engineering like what software and software engineering are, software processes, process models, methods, architecture and enterprise applications. It outlines 5 trends: 1) increasing software complexity, 2) raising abstraction levels, 3) continuous process improvement, 4) adapting to changing requirements, and 5) experience reuse to address recurring problems. It promotes agile principles and software reuse benefits and challenges.
Machine Learning in Software EngineeringAlaa Hamouda
Software is nowadays a critical component of our lives and everyday-work working activities. However, as the technological infrastructure of the modern world evolves a great challenge arises for developing high quality software systems with increasing size and complexity. Software engineers and researchers are striving to meet this challenge by developing and implementing software engineering methodologies able to deliver software products of high quality, within budget and time constraints. The field of machine learning in software engineering has recently emerged to provide means for addressing, studying, analyzing, and understanding critical software development issues and at the same time to offer mature machine learning techniques such as artificial neural network, Bayesian networks, decision trees, fuzzy logic, genetic algorithms, and rule induction. Machine learning algorithms have proven to be of great practical value to software engineering. Not surprisingly, the field of software engineering turns out to be a fertile ground where many software development tasks could be formulated as learning problems and approached in terms of learning algorithms. In this paper, we first take a look at the characteristics and applicability of some frequently utilized machine learning algorithms. We then present the application of machine learning in the different phases of software engineering that include project planning, requirements analysis, design, implementation, testing and maintenance.
This document summarizes a seminar presentation on project management. It defines key terms like project, management, and project management. It also discusses the software development life cycle including requirements gathering, design, implementation, testing, deployment, and maintenance. Common software development models are outlined like waterfall, V-shaped, prototyping, spiral, iterative, and agile. Data flow diagrams are introduced as a way to graphically represent data flows in a system.
The document provides an overview of the topics covered in the Unit 1 syllabus, which includes an introduction to software engineering and a generic view of the software development process. The key topics are: [1] the evolving role of software and changing nature of software; [2] software myths; and [3] a process framework for software engineering projects including the Capability Maturity Model Integration and process assessment.
This ppt explains about the FAQ's in software engineering and software engineer profession and ethics of software engineer.
Difference between the system engineer and software engineer.
Software Deployment
Key issues around DEPLOYMENT
Stages of Software Deployment
Deployment Best Practices
Deployment of Software Releases
Common options
CI/CD process
Capability Building for Cyber Defense: Software Walk through and Screening Maven Logix
Dr. Fahim Arif who is the Director R&D at MCS, principal investigator and GHQ authorized consultant for Nexsource Pak (Pvt) Ltd) discussed the capability of building cyber defense in the Data Protection and Cyber Security event that was hosted recently by Maven Logix. In his session he gave the audience valuable information about the life cycle of a cyber-threat discussing what and how to take measures by performing formal code reviews, code inspections. He discussed essential elements of code review, paired programming and alternatives to treat and tackle cyber-threat
The document discusses software requirement engineering. It outlines the objective of requirement engineering as understanding issues, processes, elicitation and specification techniques. It describes requirement engineering as identifying user needs and bridging them to software capabilities. The key tasks are inception, elicitation, elaboration, negotiation, specification, validation and management. Requirements errors are most costly if found late, so requirement engineering aims to establish a solid foundation early in development.
This document discusses the scope of software engineering. It begins by defining software and engineering. It then explains that software engineering aims to produce software that meets client needs, is fault-free, delivered on time and budget, and is easy to modify. It discusses why software engineering is needed due to past software failures. The document then covers various aspects of software engineering including historical, economic, and maintenance aspects. It also discusses common software engineering roles and development team members. Finally, it provides an overview of different software development lifecycle models.
Software engineering involves developing computer programs and documentation. It addresses both technical and non-technical aspects of software development. Key activities include specification, development, validation, and evolution. Methods provide guidance on processes, notations, models, and design. Software engineers have responsibilities beyond technical skills, including maintaining integrity and protecting intellectual property. Professional codes of ethics establish standards for competent and ethical conduct.
Software engineering involves developing computer programs and documentation. It addresses both technical and non-technical aspects of software development. Key activities include specification, development, validation, and evolution. Methods provide guidance on processes, notations, models, and design. Software engineers have responsibilities beyond technical skills, including maintaining confidentiality, competence, and ethical standards set by professional codes of conduct.
This document discusses test-driven development (TDD) and acceptance test-driven development (ATDD). It defines TDD as a process of first writing a test, then code to pass the test, and refactoring code while relying on tests. ATDD helps ensure correct external features by defining tests for customer requirements. The document outlines benefits like reduced bugs and increased confidence. It also discusses tools that support TDD/ATDD like unit testing frameworks, FitNesse for acceptance tests, continuous integration, and code coverage tools.
This document provides an introduction to software engineering. It begins with the course outcomes, which are to apply the software engineering lifecycle, gain knowledge of software and UI design, and apply testing guidelines. It then covers topics like the definition of software engineering, its objectives like maintainability and portability, and the software development lifecycle which includes stages like requirements analysis, design, development, testing, and deployment. The importance of software engineering is discussed as helping to reduce complexity, minimize costs, decrease time, and handle large projects. References are provided at the end.
Greate Introduction to Software Engineering @ Track IT AcademyMohamed Shahpoup
The document provides an overview of software engineering concepts including software processes, rapid software development, practices, and a case study on the V-Model process. It defines software and software engineering. It describes common software process models like waterfall, iterative development, and component-based development. It also covers rapid software development approaches like incremental delivery and agile methods. Key practices discussed include pair programming, prototyping, and activities in the software development lifecycle. Finally, it presents the phases of the V-Model process and how it maps testing to requirements and design.
IT1206- Object Oriented Analysis and Design- L10BakerTilly US
The document discusses different types of UML diagrams used for object-oriented analysis and design. It focuses on class diagrams and describes the notation used to represent classes, attributes, operations, relationships between classes like association, aggregation, composition, generalization, and realization. Key class diagram elements like class visibility, parameter directionality, and multiplicity are also explained through examples.
IT1206 Object Oriented Analysis and Design-L8BakerTilly US
This document discusses state diagrams in object oriented analysis and design. It defines state diagrams as behavioral UML diagrams used to model the dynamic behavior and lifetime of objects and systems. The key elements of state diagrams are described as states, transitions between states triggered by events, and actions performed during state changes or within states. Examples of state diagrams for a door object and ATM card are provided to illustrate these elements.
IT1206 Object Oriented Analysis And Design-L6BakerTilly US
UML (Unified Modeling Language) is a standard language for visualizing and documenting software systems using diagrams. It was created by the Object Management Group to help with specifying, constructing, and documenting software artifacts. There are two main types of UML diagrams - structural diagrams which depict the static structure of a system, and behavioral diagrams which show the dynamic behavior of a system. A key diagram is the use case diagram, which specifies the functionality of a system through actors and use cases and their relationships.
IT1206 Object Oriented Analysis and Design-L5BakerTilly US
Principles of Object-Oriented Systems
Class vs Object
Abstraction
Encapsulation
Inheritance
Generalization
Specialization
Association
Aggregation
Composition
Polymorphism
IT1206 Object Oriented Analysis and Design-L4BakerTilly US
The document discusses procedural and object-oriented programming paradigms. It explains that procedural programming focuses on algorithms and step-by-step instructions, while object-oriented programming models real-world entities as objects that have properties and behaviors. It provides examples comparing how a procedural approach and object-oriented approach would prepare a cup of tea and calculate the volume of a box. The object-oriented approach encapsulates the steps inside objects, making the code more modular and reusable.
IT1206 Object Oriented Analysis and Design- L3BakerTilly US
> Write in pseudocode
> Advantages of Pseudocode
> Pseudocode is useful:
> Writing Pseudocode
> When you write Pseudocode
>Flowchart vs Pseudocode
> Standard Key Words to use in Pseudocode
> Example
> Exercises
IT1206- Object Oriented Analysis And Design-L1BakerTilly US
This document outlines lecture material for an IT1206 course on Object Oriented Analysis and Design taught by Sameera Gunathilaka. The course will use object oriented thinking and follow the software development lifecycle (SDLC) using object oriented analysis, design, and programming. It compares the procedural and object oriented programming paradigms, showing examples in flowcharts.
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
Secure-by-Design Using Hardware and Software Protection for FDA ComplianceICS
This webinar explores the “secure-by-design” approach to medical device software development. During this important session, we will outline which security measures should be considered for compliance, identify technical solutions available on various hardware platforms, summarize hardware protection methods you should consider when building in security and review security software such as Trusted Execution Environments for secure storage of keys and data, and Intrusion Detection Protection Systems to monitor for threats.
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Strengthening Web Development with CommandBox 6: Seamless Transition and Scal...Ortus Solutions, Corp
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2. Software Forward
Engineering
• Forward engineering is a
process of constructing an
application with the help of the
general requirements of the
final implementation
• Building from a model into an
implementation language
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3. Software Reverse Engineering
• Software Reverse Engineering is a process of recovering the design,
requirement specifications and functions of a product from an
analysis of its code
• A software which is needed to be upgrade or which is needed to be
shift to other operating system
• Reverse engineering is to recover the design and a specification from
implementation
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4. Software Re-Engineering
• Software Re-Engineering is the
examination and alteration of a
system to reconstitute it in a
new form
• In Software Re-engineering, we
are improving the software to
make it more efficient and
effective.
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5. Software Maintenance
• Software Maintenance is the process of modifying a software
product after it has been delivered to the customer.
• The main purpose of software maintenance is to modify and update
software application after delivery to correct faults and to improve
performance.
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Corrective Maintenance Adaptive Maintenance
Perfective Maintenance Preventive Maintenance
6. Software Refactoring
• The process of changing a software system in such a way that it does
not alter the external behaviour of the code yet improves its internal
structure
• Refactoring is intended to improve non-fuctional attributes of the
software.
• Code refactoring may help software developers discover and fix
hidden bugs
• Improve Code Readability
• Reduce complexity
• Improve source code maintainability
• Create expensive internal architecture
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7. What’s Code
refactoring ?
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Code
reorganization
Change the
structure not
the
behaviour
Cleans up “Code Smell”
Does NOT fix bugs
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10. Code smell
• A code smell is a hint that something has gone wrong somewhere
in your code. Use the smell to track down the problem.
• Highly experienced and knowledgeable developers have a "feel"
for good design.
• Common Code Smells
• Duplicated Code
• Long method
• Long parameter list
• Switch Statements
• Improper Naming
• Comments
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14. Why do we
refactor?
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Helps up deliver more business value faster
Improve the design of our software
Minimize the technical debt
Keep development at speed
Make the code easer to understand
To help find bugs in the maintenance phase
15. When should
we Refactor?
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Add new functionality
• Refactor existing code until you
understand it
• Refactor design to make it simple
To find bugs
• Refactor to understand the code
For code reviews
• Immediate effect of code review
• Allows for higher level suggestions
16. What is meant
by Code
Review?
Code Review is a systematic
examination, which can find
and remove the
vulnerabilities in the code
such as memory leaks and
buffer overflows, conversion
issues, standards, readability.
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18. Common Code Review Approaches
• The Email Thread
• file is sent around to the appropriate colleagues via email
• Pair Programming
• working on the same code together and thereby checking each other’s work as
they go
• Over-the-Shoulder
• Once your code is ready, just find a qualified colleague to site down at your
workstation (or go to theirs) and review your code for you
• Tool-Assisted
• Software tools solve many of the limitations of the preceding approaches above,
tracking colleagues’ comments and proposed solutions to defects in a clear and
coherent sequence (similar to tracking changes in MS Word)
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19. How do we Refactor?
•Manual Refactoring
•Code Smells
•Automated/Assisted Refactoring
•Refactoring by hands is time consuming
•Use IDE
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20. Tools for Code Review
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21. Refactoring Techniques - Composing Methods
• Extract Method
You have a code fragment that can be grouped together.
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22. Refactoring Techniques - Composing Methods
• Extract Variable
• You have an expression that’s hard to understand.
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23. Refactoring Techniques - Composing Methods
• Replace Temp with Query
• You place the result of an expression in a local variable for later use in your
code.
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24. Refactoring Techniques - Composing Methods
• Remove Assignments to Parameters
• Some value is assigned to a parameter inside method’s body.
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25. Refactoring Techniques -
Moving Features between Objects
• Move Method
• A method is used more in another class than in its own class.
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26. Refactoring Techniques -
Moving Features between Objects
• Extract Class
• When one class does the work of two, awkwardness results.
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27. Refactoring Techniques -
Moving Features between Objects
• Remove Middle Man
• A class has too many methods that simply delegate to other objects.
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28. Refactoring Techniques - Organizing Data
• Change Reference to Value
• You have a reference object that’s too small and infrequently changed to
justify managing its life cycle.
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29. Refactoring Techniques - Organizing Data
• Replace Array with Object
• You have an array that contains various types of data.
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30. Refactoring Techniques - Organizing Data
• Change Unidirectional Association to Bidirectional
• You have two classes that each need to use the features of the other, but the
association between them is only unidirectional.
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31. Refactoring Techniques - Organizing Data
• Replace Type Code with Subclasses
• You have a coded type that directly affects program behavior (values of this
field trigger various code in conditionals).
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32. Refactoring Techniques – Simplifying
conditional expressions
• Consolidate Duplicate Conditional Fragments
• Identical code can be found in all branches of a conditional.
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33. Refactoring Techniques – Simplifying
conditional expressions
• Replace Nested Conditional with Guard Clauses
• You have a group of nested conditionals and it’s hard to determine the normal
flow of code execution.
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35. Refactoring Techniques – Dealing with
Generalization
• Pull Up Field
• Two classes have the same field.
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36. Thank you
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Editor's Notes
Correct faults.
Improve the design.
Implement enhancements.
Interface with other systems.
Accommodate programs so that different hardware, software, system features, and telecommunications facilities can be used.
Migrate legacy software.
Retire software.
Refactoring is the process of changing a software system in such a way that it does not alter the external behavior of the code, yet improves its internal structure.
Directed Association(unary Association) vs Composition