Software Design is a process of describing, organizing and structuring the components of a system. It is like set of blueprints in which various components of the system are shown.
http://www.isquareit.edu.in/
This document provides an overview of object-oriented analysis and design (OOAD) and the unified process modeling approach. It discusses key OOAD concepts like use cases, class diagrams, state diagrams, sequence diagrams, and the three phases of analysis, design, and implementation. It also describes the unified process, which is an iterative methodology for developing software using these OOAD techniques and UML notation. The document aims to introduce the fundamental concepts and best practices of taking a problem domain through the object-oriented systems development lifecycle.
This document discusses data modeling and functional modeling techniques. [1] Data modeling is the process of creating a data model to define and analyze an organization's data requirements. It involves identifying entities, attributes, relationships, and keys. [2] Entity-relationship diagrams are used to graphically represent data models. [3] Functional modeling structures represent the functions and processes within a subject area using techniques like data flow diagrams and functional flow block diagrams.
Function-oriented design views a system as modules with clearly defined behaviors that interact to meet requirements. It discusses various design methodologies including structured design methodology which involves identifying inputs/outputs and transformations, and factoring modules into submodules. Design quality can be evaluated using metrics related to cohesion, coupling, complexity, and information flow.
This document provides an overview of functional modeling and data flow diagrams. It discusses that functional modeling gives the process perspective of object-oriented analysis and defines the functions and data flows within a system. It then describes different types of functional models including functional flow block diagrams and data flow diagrams. It provides details on how to construct functional flow block diagrams including the use of function blocks, numbering, references, flow connections, direction and gates. It also notes some potential problems with functional modeling.
The document provides an overview of object-oriented analysis and design (OOAD). It discusses the objectives of learning OOAD skills like UML design diagrams and mapping design to code. The agenda includes an introduction to OOAD, UML diagrams, implementation, and OO testing. Object-oriented analysis focuses on identifying domain objects and requirements, while object-oriented design defines software objects and their relationships to meet requirements. UML is the standard notation used to capture objects and relationships. The design is then mapped to code through implementation. Testing ensures the software functions as intended.
This document discusses function-oriented software design. It explains that function-oriented design represents a system as a set of functions that transform inputs to outputs. The chapter objectives are to explain function-oriented design, introduce design notations, illustrate the design process with an example, and compare sequential, concurrent and object-oriented design strategies. Topics covered include data-flow design, structural decomposition, detailed design, and a comparison of design strategies.
UML diagrams can be used in three ways: as a sketch, blueprint, or programming language. As a sketch, UML diagrams are informal and aim to communicate some aspect of a system to better understand it. As a blueprint, UML diagrams are more definitive and can be used by developers to follow detailed design specifications. As a programming language, UML diagrams specify a complete system so that code can be automatically generated from the diagrams.
Structured Vs, Object Oriented Analysis and DesignMotaz Saad
This document discusses structured vs object-oriented analysis and design (SAD vs OOAD) for software development. It outlines the phases and modeling techniques used in SAD like data flow diagrams, decision tables, and entity relationship diagrams. It also outlines the phases and modeling techniques used in OOAD like use cases, class diagrams, sequence diagrams, and state machine diagrams. The document compares key differences between SAD and OOAD, discusses textbooks on software engineering and UML, and references papers on using UML in practice and evaluating the impact and costs/benefits of UML in software maintenance.
This document provides an introduction to object-oriented analysis and design (OOA/D). It discusses the key concepts of analysis, design, and the Unified Modeling Language (UML). It also provides an example of analyzing and designing a simple dice game to illustrate the process, including defining use cases, creating a domain model, interaction diagrams, and a design class diagram. The goal is to teach students how to apply OOA/D principles and the UML notation to create robust and maintainable software designs.
- Function-oriented design involves modeling a system as functions that transform inputs to outputs. It has been practiced since the beginning of programming and is supported by most programming languages.
- The functional design process includes identifying data transformations with data flow diagrams, decomposing high-level functions into sub-functions using structure charts, and detailing each design entity.
- Concurrent systems design can implement function-oriented design directly by making each logical group of transformations a concurrent process, allowing independent and parallel execution.
Object-oriented analysis and design (OOAD) uses visual modeling techniques like the Unified Modeling Language (UML) to analyze and design systems based on interacting objects. UML captures system elements and facilitates specification and visualization. It includes static diagrams for non-changing characteristics and dynamic diagrams for changing behaviors. The goal of OOAD and UML is to integrate analysis and development teams through defined processes and modeling.
Enhancement of Action Description Language for UML Activity Diagram ReviewChinnapat Kaewchinporn
The UML activity diagram is graphical presentation that describes the operational process and related causes used in each stage of the system. For understanding and accurate communication, the UML standard is required for determining the congruent and consistent format application. To detect the misconception and incorrect notation, this paper presents an automation approach to reviewing UML activity diagrams based on a domain specific language, called Action Description Language (ADL). The input is the UML activity diagram in the XMI format. Due to the variations of XMI formats, the review process starts with the standardization of the XMI source file. Next, the ADL script will be created using the information extracted from the XMI file. The ADL script will then be verified against the UML constraints defined in the UML standard 2.4.1. The inspection result will be reported. In case of valid activity diagrams, the ADL scripts will be parsed to the ADL semantic model as the final output from the system. The demonstration of the proposed method was performed via three cases. Currently, the implemented prototype can review only the activity diagrams created by ArgoUML and Modelio.
The document discusses software architecture and the Rational Unified Process (RUP). It provides definitions of key terms:
1) Software architecture is a structural plan that describes system elements, how they fit together, and how they work together to fulfill requirements. It guides implementation and sets expectations.
2) The RUP is an iterative process focusing on requirements and design. Each iteration captures requirements, performs analysis/design, implements, and tests to evolve the system. Risks are assessed and prioritized to guide iterations.
3) The RUP uses multiple "views" including use cases, components, and interactions to represent a system from different stakeholder perspectives.
Round - Trip Software Engineering using UML: From Architecture to Design and...Aman Mishra
This document is a term paper about round-trip software engineering using the Unified Modeling Language (UML) to model software architectures from initial design through implementation and back. It discusses three strategies for using UML to model software architectures: using UML "as is", constraining UML with extensions, and augmenting the UML meta-model. It also presents a view integration framework for identifying and resolving mismatches within and across UML models at different levels of abstraction to support round-trip engineering.
The document discusses key concepts and principles of software design. It begins by defining design as a blueprint for solving problems specified in requirements. Good design implements all requirements, provides a readable guide, and gives a complete picture of the software. The design process has two levels - top-level design of modules and interfaces and detailed design of module internals. The document then covers fundamental design concepts like abstraction, refinement, modularity, architecture, partitioning, data structures, procedures, information hiding, and functional independence. It provides examples and guidelines for applying these concepts to create a high-quality design.
Data flow diagrams (DFDs) graphically represent the flow of data through processes in a system without focusing on computational steps. DFDs use four main symbols: processes, data stores, external entities, and data flows. DFDs can be partitioned into multiple levels that show increasing detail from the overall context level down. Control specifications complement DFDs by specifying how the system behaves in response to events using state transition diagrams and process activation tables.
This document provides an overview of the CST 205 Object Oriented Programming using Java course, which covers approaches to software design like object oriented design, UML diagrams including class diagrams, and an introduction to Java programming. It then discusses class diagrams in more detail, including UML notation for classes, member visibility and scope, relationships between classes like association and generalization, and provides an example class diagram for a pizza order system.
Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
Design activity & its objectives – Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
Flow-oriented modeling represents how data objects are transformed as they move through a system. A data flow diagram (DFD) is the diagrammatic form used to depict this approach. DFDs show the flow of data through processes and external entities of a system using symbols like circles and arrows. They provide a unique view of how a system works by modeling the input, output, storage and processing of data from level to level.
The document discusses object-oriented analysis and design (OOAD) using the Unified Modeling Language (UML). It covers what OOAD is, different approaches to system analysis, object-oriented methodologies, the history and definition of UML, UML diagrams and modeling, and characteristics of a UML process. The chapter also includes an example ductwork estimating system case study.
The document discusses various UML diagrams used for modeling dynamic and implementation aspects of software systems. It describes interaction diagrams like sequence diagrams and collaboration diagrams which are used to model object interactions. It also covers state machine diagrams and activity diagrams which are used to model dynamic system behavior. Finally, it discusses implementation diagrams like package diagrams, component diagrams, and deployment diagrams which are used to model system organization and deployment.
This document discusses software design principles and methods. It covers topics like abstraction, modularity, coupling and cohesion, and information hiding. It also describes different design methods including functional decomposition, data flow design, design based on data structures, and object-oriented design. Key aspects of these methods are explained, such as the stages of object-oriented analysis and design. The document provides examples to illustrate different design concepts and metrics.
Contains the overview of unified Modeling Language UML version 2.0. What is UML, its necessity, components of UML etc. It is important for Software Engineering and System analysis and Design course. This slide gives the overview of the design diagrams of these courses.
Lecture 14 requirements modeling - flow and behaviorIIUI
This document discusses requirement modeling strategies, focusing on structured analysis using data flow diagrams (DFDs). It provides an overview of elements of structured analysis like entity relationship diagrams and DFDs. DFDs take an input-process-output view, showing how data flows into processes and is transformed as it flows out. The document demonstrates creating DFDs at the context, level 1 and level 2 for a SafeHome security system, starting from a level 0 context diagram and refining individual processes.
The document discusses the design of an online examination system. It describes the various modules of the system including admin, instructor and student modules. It provides details on the functionality available to each type of user. It also discusses the technologies used to develop the system such as PHP for the backend, and MySQL for the database. UML diagrams including use case, class, sequence, and ER diagrams are presented to model and design different components of the system.
Rumbaugh's Object Modeling Technique (OMT) is an object-oriented analysis and design methodology. It uses three main modeling approaches: object models, dynamic models, and functional models. The object model defines the structure of objects in the system through class diagrams. The dynamic model describes object behavior over time using state diagrams and event flow diagrams. The functional model represents system processes and data flow using data flow diagrams.
This document discusses object-oriented system design and modeling. It introduces key concepts like object-oriented principles, the software development lifecycle, and UML modeling. It explains that object-oriented concepts are widely used in software solution design across domains. Skilled professionals with a strong foundation in object-oriented design are needed to fulfill increasing requirements. The document then covers stages of software development like analysis, design, and implementation. It also discusses phases of object-oriented development like analysis, design, and self-contained objects and classes.
Structured Vs, Object Oriented Analysis and DesignMotaz Saad
This document discusses structured vs object-oriented analysis and design (SAD vs OOAD) for software development. It outlines the phases and modeling techniques used in SAD like data flow diagrams, decision tables, and entity relationship diagrams. It also outlines the phases and modeling techniques used in OOAD like use cases, class diagrams, sequence diagrams, and state machine diagrams. The document compares key differences between SAD and OOAD, discusses textbooks on software engineering and UML, and references papers on using UML in practice and evaluating the impact and costs/benefits of UML in software maintenance.
This document provides an introduction to object-oriented analysis and design (OOA/D). It discusses the key concepts of analysis, design, and the Unified Modeling Language (UML). It also provides an example of analyzing and designing a simple dice game to illustrate the process, including defining use cases, creating a domain model, interaction diagrams, and a design class diagram. The goal is to teach students how to apply OOA/D principles and the UML notation to create robust and maintainable software designs.
- Function-oriented design involves modeling a system as functions that transform inputs to outputs. It has been practiced since the beginning of programming and is supported by most programming languages.
- The functional design process includes identifying data transformations with data flow diagrams, decomposing high-level functions into sub-functions using structure charts, and detailing each design entity.
- Concurrent systems design can implement function-oriented design directly by making each logical group of transformations a concurrent process, allowing independent and parallel execution.
Object-oriented analysis and design (OOAD) uses visual modeling techniques like the Unified Modeling Language (UML) to analyze and design systems based on interacting objects. UML captures system elements and facilitates specification and visualization. It includes static diagrams for non-changing characteristics and dynamic diagrams for changing behaviors. The goal of OOAD and UML is to integrate analysis and development teams through defined processes and modeling.
Enhancement of Action Description Language for UML Activity Diagram ReviewChinnapat Kaewchinporn
The UML activity diagram is graphical presentation that describes the operational process and related causes used in each stage of the system. For understanding and accurate communication, the UML standard is required for determining the congruent and consistent format application. To detect the misconception and incorrect notation, this paper presents an automation approach to reviewing UML activity diagrams based on a domain specific language, called Action Description Language (ADL). The input is the UML activity diagram in the XMI format. Due to the variations of XMI formats, the review process starts with the standardization of the XMI source file. Next, the ADL script will be created using the information extracted from the XMI file. The ADL script will then be verified against the UML constraints defined in the UML standard 2.4.1. The inspection result will be reported. In case of valid activity diagrams, the ADL scripts will be parsed to the ADL semantic model as the final output from the system. The demonstration of the proposed method was performed via three cases. Currently, the implemented prototype can review only the activity diagrams created by ArgoUML and Modelio.
The document discusses software architecture and the Rational Unified Process (RUP). It provides definitions of key terms:
1) Software architecture is a structural plan that describes system elements, how they fit together, and how they work together to fulfill requirements. It guides implementation and sets expectations.
2) The RUP is an iterative process focusing on requirements and design. Each iteration captures requirements, performs analysis/design, implements, and tests to evolve the system. Risks are assessed and prioritized to guide iterations.
3) The RUP uses multiple "views" including use cases, components, and interactions to represent a system from different stakeholder perspectives.
Round - Trip Software Engineering using UML: From Architecture to Design and...Aman Mishra
This document is a term paper about round-trip software engineering using the Unified Modeling Language (UML) to model software architectures from initial design through implementation and back. It discusses three strategies for using UML to model software architectures: using UML "as is", constraining UML with extensions, and augmenting the UML meta-model. It also presents a view integration framework for identifying and resolving mismatches within and across UML models at different levels of abstraction to support round-trip engineering.
The document discusses key concepts and principles of software design. It begins by defining design as a blueprint for solving problems specified in requirements. Good design implements all requirements, provides a readable guide, and gives a complete picture of the software. The design process has two levels - top-level design of modules and interfaces and detailed design of module internals. The document then covers fundamental design concepts like abstraction, refinement, modularity, architecture, partitioning, data structures, procedures, information hiding, and functional independence. It provides examples and guidelines for applying these concepts to create a high-quality design.
Data flow diagrams (DFDs) graphically represent the flow of data through processes in a system without focusing on computational steps. DFDs use four main symbols: processes, data stores, external entities, and data flows. DFDs can be partitioned into multiple levels that show increasing detail from the overall context level down. Control specifications complement DFDs by specifying how the system behaves in response to events using state transition diagrams and process activation tables.
This document provides an overview of the CST 205 Object Oriented Programming using Java course, which covers approaches to software design like object oriented design, UML diagrams including class diagrams, and an introduction to Java programming. It then discusses class diagrams in more detail, including UML notation for classes, member visibility and scope, relationships between classes like association and generalization, and provides an example class diagram for a pizza order system.
Function Oriented and Object Oriented Design,Modularization techniquesnimmik4u
Design activity & its objectives – Function Oriented and Object Oriented Design- Modularization techniques - module structure and its representation, interface and information hiding, categories, specific techniques to accommodate change, stepwise refinement, top-down and bottom-up design - Handling anomalies.
Flow-oriented modeling represents how data objects are transformed as they move through a system. A data flow diagram (DFD) is the diagrammatic form used to depict this approach. DFDs show the flow of data through processes and external entities of a system using symbols like circles and arrows. They provide a unique view of how a system works by modeling the input, output, storage and processing of data from level to level.
The document discusses object-oriented analysis and design (OOAD) using the Unified Modeling Language (UML). It covers what OOAD is, different approaches to system analysis, object-oriented methodologies, the history and definition of UML, UML diagrams and modeling, and characteristics of a UML process. The chapter also includes an example ductwork estimating system case study.
The document discusses various UML diagrams used for modeling dynamic and implementation aspects of software systems. It describes interaction diagrams like sequence diagrams and collaboration diagrams which are used to model object interactions. It also covers state machine diagrams and activity diagrams which are used to model dynamic system behavior. Finally, it discusses implementation diagrams like package diagrams, component diagrams, and deployment diagrams which are used to model system organization and deployment.
This document discusses software design principles and methods. It covers topics like abstraction, modularity, coupling and cohesion, and information hiding. It also describes different design methods including functional decomposition, data flow design, design based on data structures, and object-oriented design. Key aspects of these methods are explained, such as the stages of object-oriented analysis and design. The document provides examples to illustrate different design concepts and metrics.
Contains the overview of unified Modeling Language UML version 2.0. What is UML, its necessity, components of UML etc. It is important for Software Engineering and System analysis and Design course. This slide gives the overview of the design diagrams of these courses.
Lecture 14 requirements modeling - flow and behaviorIIUI
This document discusses requirement modeling strategies, focusing on structured analysis using data flow diagrams (DFDs). It provides an overview of elements of structured analysis like entity relationship diagrams and DFDs. DFDs take an input-process-output view, showing how data flows into processes and is transformed as it flows out. The document demonstrates creating DFDs at the context, level 1 and level 2 for a SafeHome security system, starting from a level 0 context diagram and refining individual processes.
The document discusses the design of an online examination system. It describes the various modules of the system including admin, instructor and student modules. It provides details on the functionality available to each type of user. It also discusses the technologies used to develop the system such as PHP for the backend, and MySQL for the database. UML diagrams including use case, class, sequence, and ER diagrams are presented to model and design different components of the system.
Rumbaugh's Object Modeling Technique (OMT) is an object-oriented analysis and design methodology. It uses three main modeling approaches: object models, dynamic models, and functional models. The object model defines the structure of objects in the system through class diagrams. The dynamic model describes object behavior over time using state diagrams and event flow diagrams. The functional model represents system processes and data flow using data flow diagrams.
This document discusses object-oriented system design and modeling. It introduces key concepts like object-oriented principles, the software development lifecycle, and UML modeling. It explains that object-oriented concepts are widely used in software solution design across domains. Skilled professionals with a strong foundation in object-oriented design are needed to fulfill increasing requirements. The document then covers stages of software development like analysis, design, and implementation. It also discusses phases of object-oriented development like analysis, design, and self-contained objects and classes.
This document provides an overview of system modeling techniques for requirements engineering, including data flow diagrams (DFDs), entity-relationship modeling, and object-oriented modeling. It discusses the benefits of modeling, provides examples of each technique, and outlines a methodology for object-oriented analysis using a library system as a case study. The key steps are identifying core classes, modeling relationships between classes, defining attributes and operations, and identifying messages passed between objects. While object-oriented modeling is useful, the document notes it is better suited for design than pure analysis and other techniques like use cases may need to be combined.
The document discusses function-oriented software design and the Structured Analysis/Structured Design (SA/SD) methodology. It provides an overview of SA/SD, which involves structured analysis to model system functions through functional decomposition and data flow diagrams, and structured design to map functions to a module structure. An example of applying SA/SD to a root mean square calculating software is presented, with context and level 1 data flow diagrams developed through decomposition of high-level functions.
This document provides an overview of data flow diagrams (DFDs):
1. DFDs consist of different levels that show increasing detail, starting with a context diagram showing external entities and high-level data flows, followed by more detailed level 1 and lower level DFDs showing processes and data stores.
2. The components of a DFD are external entities, processes, data stores, and data flows. Processes convert inputs to outputs, data stores hold data, and data flows connect the components.
3. Developing DFDs involves starting with a context diagram, then a level 1 DFD showing how inputs are converted to outputs via processes and data stores, with lower level DFDs
The document discusses key aspects of software requirement specification (SRS) documents and system modeling. It describes that an SRS document outlines the functional and non-functional requirements of the system as well as implementation goals. Functional requirements specify the system's functions while non-functional requirements describe characteristics like security and usability. System modeling involves process modeling using tools like data flow diagrams and conceptual data modeling using entity-relationship diagrams. The document provides examples and explanations of these modeling techniques.
The document discusses the Software Development Life Cycle (SDLC), which is a process used in software engineering to design, develop, and test high-quality software. It describes the main phases of SDLC as planning, defining, designing, building, and testing. Key activities in each phase like feasibility study, requirement analysis, prototyping are explained. Various tools used for system analysis and design such as data flow diagrams, flow charts are also outlined.
This document discusses tools and techniques for system design, including logical data flow diagrams (DFDs) and data dictionaries. DFDs use simple graphical symbols to represent processes, data flows, external entities, and data stores in a system. They provide an overview of how data moves through a system. A data dictionary comprehensively defines all data elements in a system. Physical design and prototyping are also discussed as part of specifying hardware, software, user interfaces, and the overall implementation of a system.
In Iterative model, iterative process starts with a simple implementation of a small set of the software requirements and iteratively enhances the evolving versions until the complete system is implemented and ready to be deployed.
This document provides an overview of data flow diagrams (DFDs):
1. DFDs visually represent how information moves through a system and can be used to document current systems or plan new ones. They have four main components: external entities, processes, data stores, and data flows.
2. Multiple levels of DFDs can be created, starting with a high-level context diagram and drilling down into more detail in lower levels. Categories include physical and logical DFDs.
3. An example process of developing DFDs is outlined, starting with gathering requirements and creating a document flow diagram before building the initial context and level 1 DFDs and then more detailed lower levels.
The document provides an overview of software design concepts including architectural design, design choices, structure designs, repository designs, client-server designs, layered designs, control models, design entities, software design processes, design methods, formal design approaches, and unified modeling language (UML) diagrams. It discusses topics such as decomposition, interfaces, performance, security, and maintainability as they relate to software design.
The document summarizes the emergence and evolution of software engineering approaches from the 1950s to modern times. It describes early exploratory programming using assembly languages. It then discusses the introduction of high-level languages and increased focus on control flow-based design. Subsequently, the complexity of software led to data-flow oriented design using data flow diagrams. Object oriented design revolutionized the field by enabling reuse through concepts like encapsulation and inheritance. Finally, it briefly outlines evolutionary, RAD, spiral models for iterative development.
SPECIFIC LEARNING OBJECTIVES:
At the end of this module you MUST be able to:
1. Identify the tools that a systems analyst could use.
2. Describe and differentiate each tool.
3. Use the appropriate tool for a certain and different situation.
TOPIC:
1. Systems development life cycle (SDLC)
2. Planning phase
3. Analysis phase
4. Design phase
5. Development phase
6. Implementation phase
7. Structured systems analysis
8. System model
9. Tools of structured analysis
This document provides an overview of object-oriented methodologies, including Rumbaugh's Object Modeling Technique (OMT), Booch methodology, Jacobson's methodologies, patterns, frameworks, the Unified Modeling Language (UML), and common UML diagrams. It describes the key phases and models of OMT, Booch, and Jacobson's approaches. It also defines what patterns and frameworks are and compares them. Finally, it explains the history and concepts of UML and provides brief descriptions of common UML diagrams like class, use case, activity, sequence, and collaboration diagrams.
The process of reducing a given DFA to its minimal form is called as minimization of DFA. DFA minimization is also called as Optimization of DFA and uses partitioning algorithm.
NLP is a tool for computers to analyse, comprehend, and derive meaning from natural language in an intelligent and useful way. Natural language processing helps computers communicate with humans in their own language and scales other language-related tasks.
Smart computing involves connecting devices like appliances, phones, and infrastructure to the internet and each other. This allows them to become aware of their environment and each other's status, enabling new functionalities. For example, a smart fridge can sense when supplies are low and automatically place an order. Key aspects of smart computing include awareness, analysis of data, evaluating alternatives, taking appropriate actions, and ensuring accountability of the system. While smart computing provides benefits, it also raises issues regarding data privacy, security, and standardization that must be addressed.
As a student, you should be developing work ethic and etiquette skill sets to prepare you for the work environment. Developing professional habits and manners is more important now than ever before.
Writing skills include all the knowledge and abilities related to expressing yourself through the written word. Here you can find activities to practise your writing skills.
Professional communication in written form requires skill and expertise. And whether you're starting a new job, introducing yourself at a networking event or pitching for new work, here are some things to consider ...
Servlets work on the server-side. Servlets are capable of handling complex requests obtained from the web-server. There are many (competing) server-side technologies available: Java-based (servlet, JSP, JSF, Struts, Spring, Hibernate), ASP, PHP, CGI Script, and many others.
This document discusses Jenkins, an open source automation server that can be used to automate tasks related to building, testing, and deploying software. It describes how Jenkins can be installed via native packages, Docker, or by running its Java files. The document also explains what a Jenkins pipeline is and provides examples of declarative and scripted pipeline syntax to define build, test, and deploy stages. Finally, it discusses concepts like nodes, stages, and steps that are used in continuous development with Jenkins.
Cloud computing enables ubiquitous and on-demand access to shared pools of configurable computing resources. It is composed of essential characteristics like rapid provisioning and release of resources with minimal management effort. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also discusses the different types of cloud including public, private, and hybrid clouds. Using cloud computing provides advantages to enterprises like setting up a virtual office and saving costs compared to purchasing their own systems and equipment.
Data science, Know as data-driven science, is also an interdisciplinary field of scientific methods, processes, algorithms, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.
The document discusses the different types of artificial intelligence. It describes memory-less AI, limited memory AI, theory of mind AI, and self-consciousness AI based on how closely they can simulate human intelligence. It also outlines narrow or weak AI, general or strong AI, and super AI based on the scope of tasks they can perform. Memory-less AI can respond to predefined inputs without learning, while limited memory AI can learn from experiences. Current research is focused on developing general AI that can mimic human intelligence and theory of mind AI that understands emotions and beliefs.
All these acronyms are often loosely used in the field of technology. It is important to understand that all these acronyms are part of Artificial Intelligence (AI) umbrella.
Sentiment Analysis has become a hot-trend topic of scientific and market research; it is a natural language processing technique used to determine whether data is positive, negative or neutral.
The theory of computation is a branch of computer science and mathematics combined. It deals with how efficiently problems can be solved on a model of computation, using an algorithm.
The popular object-oriented languages are Java, C#, PHP, Python, C++, etc. The main aim of object-oriented programming is to implement real-world entities.
High speed computing was implemented in supercomputer for scientific research. HPC clusters provide the most efficient, flexible, cost effective computing environments for HPC simulations.
Power BI is a business analytics service by Microsoft. BI
Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. You can access your data from anywhere with the Power BI app.
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld
Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.
Domino IQ – What to Expect, First Steps and Use Casespanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
- What are Large Language Models (LLMs) and how do they relate to Domino iQ
- Essential prerequisites for deploying Domino iQ Server
- Step-by-step instructions on setting up your Domino iQ Server
- Share and discuss thoughts and ideas to maximize the potential of Domino iQ
Trends Artificial Intelligence - Mary MeekerClive Dickens
Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
AI Creative Generates You Passive Income Like Never BeforeSivaRajan47
For years, building passive income meant traditional routes—stocks, real estate, or
online businesses that required endless hours of setup and maintenance. But now,
Artificial Intelligence (AI) is redefining the landscape. We’re no longer talking about
automation in the background; we’re entering a world where AI creatives actively
design, produce, and monetize content and products, opening the floodgates for
passive income like never before.
Imagine AI tools writing books, designing logos, building apps, editing videos, creating
music, and even selling your digital products 24/7—without you lifting a finger after
setup. This isn't the future. It’s happening right now. And if you act fast, you can ride
the wave before it becomes saturated.
In this in-depth guide, we’ll show you how to tap into AI creativity for real, sustainable,
passive income streams—no fluff, no generic tips—just actionable, traffic-driving
insights.
DevOps in the Modern Era - Thoughtfully Critical PodcastChris Wahl
https://youtu.be/735hP_01WV0
My journey through the world of DevOps! From the early days of breaking down silos between developers and operations to the current complexities of cloud-native environments. I'll talk about my personal experiences, the challenges we faced, and how the role of a DevOps engineer has evolved.
Neural representations have shown the potential to accelerate ray casting in a conventional ray-tracing-based rendering pipeline. We introduce a novel approach called Locally-Subdivided Neural Intersection Function (LSNIF) that replaces bottom-level BVHs used as traditional geometric representations with a neural network. Our method introduces a sparse hash grid encoding scheme incorporating geometry voxelization, a scene-agnostic training data collection, and a tailored loss function. It enables the network to output not only visibility but also hit-point information and material indices. LSNIF can be trained offline for a single object, allowing us to use LSNIF as a replacement for its corresponding BVH. With these designs, the network can handle hit-point queries from any arbitrary viewpoint, supporting all types of rays in the rendering pipeline. We demonstrate that LSNIF can render a variety of scenes, including real-world scenes designed for other path tracers, while achieving a memory footprint reduction of up to 106.2x compared to a compressed BVH.
https://arxiv.org/abs/2504.21627
Mark Zuckerberg teams up with frenemy Palmer Luckey to shape the future of XR...Scott M. Graffius
Mark Zuckerberg teams up with frenemy Palmer Luckey to shape the future of XR/VR/AR wearables 🥽
Drawing on his background in AI, Agile, hardware, software, gaming, and defense, Scott M. Graffius explores the collaboration in “Meta and Anduril’s EagleEye and the Future of XR: How Gaming, AI, and Agile are Transforming Defense.” It’s a powerful case of cross-industry innovation—where gaming meets battlefield tech.
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In this talk, Elliott explores how developers can embrace AI not as a threat, but as a collaborative partner.
We’ll examine the shift from routine coding to creative leadership, highlighting the new developer superpowers of vision, integration, and innovation.
We'll touch on security, legacy code, and the future of democratized development.
Whether you're AI-curious or already a prompt engineering, this session will help you find your rhythm in the new dance of modern development.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/state-space-models-vs-transformers-for-ultra-low-power-edge-ai-a-presentation-from-brainchip/
Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit.
At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation, Lewis contrasts state-space models (SSMs) with transformers for use in this constrained regime. While transformers rely on a read-write key-value cache, SSMs can be constructed as read-only architectures, enabling the use of novel memory types and reducing power consumption. Furthermore, SSMs require significantly fewer multiply-accumulate units—drastically reducing compute energy and chip area.
New techniques enable distillation-based migration from transformer models such as Llama to SSMs without major performance loss. In latency-sensitive applications, techniques such as precomputing input sequences allow SSMs to achieve sub-100 ms time-to-first-token, enabling real-time interactivity. Lewis presents a detailed side-by-side comparison of these architectures, outlining their trade-offs and opportunities at the extreme edge.
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal
As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital
Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
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Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Discover 7 best practices for Salesforce Data Cloud to clean, integrate, secure, and scale data for smarter decisions and improved customer experiences.
MCP vs A2A vs ACP: Choosing the Right Protocol | BluebashBluebash
Understand the differences between MCP vs A2A vs ACP agent communication protocols and how they impact AI agent interactions. Get expert insights to choose the right protocol for your system. To learn more, click here: https://www.bluebash.co/blog/mcp-vs-a2a-vs-acp-agent-communication-protocols/
Jeremy Millul - A Talented Software DeveloperJeremy Millul
Jeremy Millul is a talented software developer based in NYC, known for leading impactful projects such as a Community Engagement Platform and a Hiking Trail Finder. Using React, MongoDB, and geolocation tools, Jeremy delivers intuitive applications that foster engagement and usability. A graduate of NYU’s Computer Science program, he brings creativity and technical expertise to every project, ensuring seamless user experiences and meaningful results in software development.
Jeremy Millul - A Talented Software DeveloperJeremy Millul
Software Design Methodologies and Testing
1. Software Design
Methodologies and Testing
Prof. Prashant J. Gadakh
International Institute of Information Technology
http://www.isquareit.edu.in/
3. Introduction To Software Design
• Deriving a solution which satisfies software requirements.
• Software Design is a process of describing, organizing and
structuring the components of a system.
• Software Design are like set of blueprints in which various
components of the system are shown.
4. Stages of Design
• Problem understanding
• Look at the problem from different angles to discover the
design requirements.
• Identify one or more solutions
• Evaluate possible solutions and choose the most
appropriate depending on the designer's experience and
available resources.
5. Stages of Design (Cont..)
• Describe solution abstractions
• Use graphical, formal or other descriptive notations to
describe the components of the design.
• Repeat process for each identified abstraction
Until the design is expressed in primitive terms.
6. The Design Process
• Any design may be modeled as a directed graph made up of
entities with attributes which participate in relationships.
• The system should be described at several different levels of
abstraction.
• Design takes place in overlapping stages. It is artificial to
separate it into distinct phases but some separation is
usually necessary.
7. Phases in the Design Process
Architectural
design
Abstract
specificatio
n
Interface
design
Component
design
Data
structure
design
Algorithm
design
Sy stem
architecture
Software
specification
Interface
specification
Component
specification
Data
structure
specification
Algorithm
specification
Requirements
specification
Design activities
Design products
8. PROCEDURAL DESIGN
METHODOLOGY
• A design methodology combines a systematic set of
rules for creating a program design with diagramming
tools needed to represent it.
• Procedural design is best used to model programs that
have an obvious flow of data from input to output.
• It represents the architecture of a program as a set of
interacting processes that pass data from one to another
9. Design Tools
• The two major diagramming tools used in procedural design
are as follows.
1. Data Flow Diagrams
2. Structure Charts (Flow Chart).
10. Data Flow Diagrams
• A data flow diagram (or DFD) is a tool to help you
discover and document the program’s major processes.
The following table shows the symbols used and what each
represents.
11. Sr.
NO
Symbol Used Meaning Example
1
An entity. A source of data or
a destination for data.
2
A process or task that is
performed by the system.
3 A data store, a place where data is
held between processes.
4
A data flow.
12. Relationship and Rules
• The DFD may be used for any level of data abstraction. DFD can
be partitioned into levels. Each level has more information flow
and data functional details than the previous level.
Highest level is Context Diagram. Some important points are:
• 1 bubble (process) represents the entire system.
• Data arrows show input and output.
• Data Stores NOT shown. They are within the system.
14. Level 0 DFD
• Next Level is Level 0 DFD. Some important points are:
• Level 0 DFD must balance with the context diagram it
describes.
• Input going into a process are different from outputs leaving
the process.
• Data stores are first shown at this level.
16. Level 1 DFD
• Next level is Level 1 DFD. Some important points are:
• Level 1 DFD must balance with the Level 0 it describes.
• Input going into a process are different from outputs leaving
the process.
• Continue to show data stores.
18. Difference Between DFD & Flow
Chart
• A DFD may look similar to a flow chart. However, there is a significant difference
with the data flow diagram. The arrows in DFDs show that there is a flow of data
between the two components and not that the component is sending the data
that must be executed in the following component.
• A component in DFD may not continue execution when sending data and during
execution of the component receiving the data. The component sending data can
send multiple sets of data along several connections. In fact, a DFD node can be
a component that never ends. In DFDs, all arrows must be labelled.
25. Is a complete Language for capturing knowledge (semantics)
about a subject and expressing knowledge (syntax) regarding
the subject for the purpose of communication
Applies to Modeling – process of understanding a subject (or
a system)
Is Unified – remaining the same at each stage of development
26. Background
• 1965 - The first object-oriented programming language,
Simula I, was introduced
Object-oriented Analysis & Design (OOAD) by Grady Booch.
The Object Modeling Technique (OMT) by James Rumbaugh.
The Object-oriented Software Engineering method (OOSE) by
Ivar Jacobson
27. OO Analysis vs. OO Design
Analysis refers to
understanding
the problem.
Design refers to
coming up with
the solution.
REQUIREMENTS
and
ANALYSIS
DESIGN
IMPLEMENTATION
TESTING
28. OO Analysis vs. OO Design
Jacobson (OOSE) good at high-level design
Rumbaugh (OMT) good at the middle ground
Booch (OOAD) good at low-level design
29. 1994 : Booch + Rumbaugh = Unified Method 0.8
1995 : + Jacobson = UML 0.8
Receiving a feedback from IBM, Microsoft, Oracle, HP
and other companies
1996 : UML 0.9
1997 : UML 1.0
Object Management Group (OMG) joined UML project
1997 : UML 1.1
UML is running under the OMG Revision Task Force
Improving semantics and flexibility
2003 : UML 2.0
32. Static and Dynamic Modelling
• Static Modelling:-
Static Modelling is used to represent the static constituents
of a Software such as :
1.Classes, 2.Objects, 3.Interfaces and 4.Their relationship
with each other.
33. Static and Dynamic Modelling
• Dynamic Modelling:-
Dynamic Modelling is used to represent the behaviour of the static
constituents of a software ,
Dynamic Modelling Represent Following Diagrams,
1. Interaction Diagram:- Sequence and Collaboration Diagram.
2. Use Case Modelling
3. Activity Diagram
35. About I²IT
I²IT aspires to be an academic leader recognized for innovation, quality teaching
and research, holding high moral values and a forward thinking institution that
explores creative approaches for the future.
• Address: P-14, Rajiv Gandhi Infotech Park, Phase – 1, Hinjawadi, Pune – 411057,
India
• Phone: +91 20 2293 3441 / 2 / 3
• Email: [email protected]
• Web: www.isquareit.edu.in