Data flow Diagram
In this presentation we are going to briefly
Describe what is DFD.
Why Should Use DFD ?
Components of a generic DFD.
Levels of DFD.
DFD with an example (SMS Mela).
A data flow diagram (DFD) illustrates how data is processed by a system in terms of inputs and outputs. As its name indicates its focus is on the flow of information, where data comes from, where it goes and how it gets stored.
the ppt contains the overview about the Data Flow Diagram.it will be the simple powerpoint file and it contains a brief view on elements of the Data Flow Diagram,it also contains the level 0 and level 1 diagrams.
A data flow diagram (DFD) illustrates how data is processed by a system in terms of inputs and outputs. As its name indicates its focus is on the flow of information, where data comes from, where it goes and how it gets stored.
the ppt contains the overview about the Data Flow Diagram.it will be the simple powerpoint file and it contains a brief view on elements of the Data Flow Diagram,it also contains the level 0 and level 1 diagrams.
A data flow diagram (DFD) is a graphical representation of the "flow" of data through an information system, modeling its process aspects.
Why DFD technique is so Popular?
Symbols used in DFD
Constructing DFD Models
Data Dictionary
Developing the DFD model of System
Level O DFD or Context Diagram
Level 1 DFD
Strengths of DFD Model
Weaknesses of DFD Model
A graphical tool, useful for communicating with users, managers, and other personnel.
Used to perform structured analysis to determine logical requirements.
Useful for analyzing existing as well as proposed systems.
Focus on the movement of data between external entities and processes, and between processes and data stores.
A relatively simple technique to learn and use.
Data flow diagram is used in software development. It shows the flow of data through the system. It has many levels but beyond level 2 complexity increases. It is used in software engineering, Business analysis, agile development & system structures etc. It can provide a detailed representation of a system. Used as a part of system documentation file. It is very easy to understand. It has many advantages but can make the programmers little confuse concerning the system & take long time to create
This chapter will help you to demonstrate the working of the online blood bank system with the help of the diagrams, it includes DFD's ,architecture,block diagrams,ER-diagrams and state transition,table structure Etc.
Object Oriented Methodology (OOM) is a system development approach encouraging and facilitating re-use of software components. We enforce our concern on components re-usability of existing component using Java Language .
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
A data flow diagram (DFD) is a graphical representation of the "flow" of data through an information system, modeling its process aspects.
Why DFD technique is so Popular?
Symbols used in DFD
Constructing DFD Models
Data Dictionary
Developing the DFD model of System
Level O DFD or Context Diagram
Level 1 DFD
Strengths of DFD Model
Weaknesses of DFD Model
A graphical tool, useful for communicating with users, managers, and other personnel.
Used to perform structured analysis to determine logical requirements.
Useful for analyzing existing as well as proposed systems.
Focus on the movement of data between external entities and processes, and between processes and data stores.
A relatively simple technique to learn and use.
Data flow diagram is used in software development. It shows the flow of data through the system. It has many levels but beyond level 2 complexity increases. It is used in software engineering, Business analysis, agile development & system structures etc. It can provide a detailed representation of a system. Used as a part of system documentation file. It is very easy to understand. It has many advantages but can make the programmers little confuse concerning the system & take long time to create
This chapter will help you to demonstrate the working of the online blood bank system with the help of the diagrams, it includes DFD's ,architecture,block diagrams,ER-diagrams and state transition,table structure Etc.
Object Oriented Methodology (OOM) is a system development approach encouraging and facilitating re-use of software components. We enforce our concern on components re-usability of existing component using Java Language .
Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.
Android is an open source Platform or a software stack for mobile. It is a Google product. but still as it is a open source so anyone can develop its application It run on dalvik VM and its applications are written in java. Android is a terrifically growing mobile platform and also a user loveable OS for mobile phone. We can see that its new versions are coming with a small or can say with in a minimum interval . Recently we have android 5.0 and on its release google had announced for android 5.0.1 also.
The Android OS project was started in 2001. Initially developed by Android, Inc., which Google backed financially and later bought in 2005, Android was unveiled in 2007 along with the founding of the Open Handset Alliance.
1-HISTORY OF ANDROID:-
In 2005 Google buys android Incorporation and started dalvik. At that time it is not possible for Google to go out and buy the companies to work on android, so Google in 2007 announced Android as an Open Handset Alliance so it a point to be noted that know android is not owned by only by Google or Google is the owner of android but OHA is the owner of android. 2008 to 2010 the android become a biggest used platform for mobile, it was world wide accepted mobile platform domain. In 2011 the chairman of Google Mr. Eric had decided to more to other device also like gaming, tablets, Tv watches, Car GPRS systems, etc.
YEAR TASK
2005 Google buys ANDROID Inc.
2007 Open Handset Alliance. Announced FIRST SDK.
2008 Android become the domain of mobile platform
2011 Games, tablets, watches,etc
Why Dalvik VM not Java VM (JVM) ?
Android runs java app so why don’t we use java vm ?
because of two good reasons
1- business.
2- Technical.
Business is Java is owned by Oracle. So We have to buy license for java VM. Due to which Android will no longer be free, and there is no reason that why Google will give profit to Oracle. And it is not easy for Google to buy license from oracle for each VM After all it is the reason for its pride. There are main two technical reasons
1-battery consumption of java vm. As java is optimized and is designed to run on Intel chips easily and Intel chips need more and more power to run and in mobiles the battery in main consistent so intel chips are replaced by armed chips, so it is not possible to run java vm on it.
2- Memory consumption in java vm to run any app first we have to load it class for memory to Hard disk or RAM, so to run first we have to wait for vm to search and load class in HD or RAM. And in mobile we don’t have such a large memory that we load classes every before running any app. So it better to replace JVM with dalvik vm which use classes but there is no need to load it in RAM it run it directly.
Difference b\w Delvik and ART
0 In dalvik runtime, the JIT in bounded to CPU but ART frees the CPU from translating DEX to machine code during app’s execution thus reduce energy consumption.
o ART is faster as it directly convert. DEX byte-code to NAT
in this presentation Data Flow Diagrams (DFD),DFD Development : Basic Rules,Process Naming,Creating Context Diagram,Context Diagram,Diagram 0 (Next Level),Child Diagram,Typical Errors in DFD,Logical & physical Data Flow,Transitions,Logical vs Physical Data Flow,Reason for partitioning DFD,CRUD Matrix,Event Response Table,Use Case and Flow Diagrams..
Software Engineering- ERD DFD Decision Tree and TableNishu Rastogi
Second half of Unit 2 of BCA 401 as per Invertis University, Syllabus
It includes introduction to ERD, DFD, Decision Tree and Table with examples and exercise.
Here we uploaded E workshop system design with complete details. This details helpful for students who are freshers. Even software developers can refer this document. For project source code visit www.studentprojectguide.com
PURPOSE of the project is Williams Specialty Company (WSC) reque.docxamrit47
PURPOSE of the project is
Williams Specialty Company (WSC) requested a business automation application in which will allow for the WSC employees be able to automate customer service, inventory, and quality control. This project will deliver an application that will keep track of the processes with a database. The purpose of the application is to accelerate and improve the management of the customer orders and processes. The features that will be included are:
· Create, modify, and store customer orders
· Access to the database (only by the manager and sales person)
· Create memos and e-mails within the employees and save them within the database
· Validate customer orders
· Mark order as “complete”1. Scope
This section will define the scope of the project by defining and describing the System, the major functions of the application, and the database.
1.1. System DescriptionWilliams Specialty Company (WSC) requested a business automation application in which will allow for the WSC employees be able to automate customer service, inventory, and quality control. This project will deliver an application that will keep track of the processes with a database. The purpose of the application is to accelerate and improve the management of the customer orders and processes. The features that will be included are:· Create, modify, and store customer orders· Access to the database (only by the manager and sales person)· Create memos and e-mails within the employees and save them within the database· Validate customer orders· Mark order as “complete”
Major Software Functions
The business application being created will allow for Order capture by the Williams Staff. Assign that order to a specific employee. Store this Information in an Oracle or Microsoft SQL Database(To be discussed). Allow access to this database to managers and sales people. As well as provide communication between the employee assigned to the order and the Sales team and management via Internal Electronic Communication( Email and Memo). As well as create a Customer satisfaction and follow up communication on Completion of the order(Via Email). Then Mark Inventory as Complete and help maintain Inventory Control and improve Order completion.
Diagram To Follow…
Database Description
The Project will utilize an Oracle or Microsoft SQL Database engine.
0. 1.4. Design Constraints and Limitations
The Design Constraints within this project will be Conforming the application to Run on Their Current Infrastructure. (Windows 7 OS and Windows 2012 Server).
The Second Design Constraint will be creating this application in such a way that it is easy to access(Low level of technical knowledge needed) as well as easy to maintain.
Team:
Team Members:
Date:
Project Title:
Team Leader:
Note: All diagrams should be clearly labeled. Remove all text that is shown in RED.Scope
This section will define the sc ...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
1. Data Flow Diagram
Creating data flow diagrams to understand business processes
Prepared by
Mahmudur Rashid (PHP Developer)
Anowar Hossain (PHP Developer)
2. About this presentation
In this presentation we are going to briefly
Describe what is DFD.
Why Should Use DFD ?
Components of a generic DFD.
Levels of DFD.
DFD with an example (SMS Mela).
3. What Is DFD
It’s a graphical representation of the "flow" of
data through an information system.
Data flow diagrams show:
Data flowing through a system to or from
external entities.
The processes that transform the data.
The data stores that hold the data.
4. Why we should Use DFD?
In describing the boundaries of the system.
For communicating existing system knowledge to the
users.
A straightforward graphical technique which is easy
to recognize.
To understand detailed representation of system
components.
Used as the part of system documentation file.
Easier to understand by technical and nontechnical
audiences
Finding out the logic behind the data flow within the
system.
5. Components for Drawing a generic DFD
consists principally of four symbols, namely the
external entity
process
data store
data flow
User
Send SMS
D3 User Info
Customer Details
6. Levels of DFD
Context Diagram:
Shows the context into which the business process
fits which shows overall business process as just one
process.
Shows the Shows all the outside entities that receive
information from or contribute information to the
system.
No data store.
7. Levels of DFD
Level 0 Diagram:
Shows all the processes that comprise the overall
system
Shows how information moves from and to each process
Adds data stores
8. Levels of DFD
Level 1 Diagrams
Shows single process on the level 0 diagram
Shows how information moves from and to each of
these processes.
Shows in more detail the content of higher level
process.
Level 1 diagrams may not be needed for all level 0
processes.
Then it may be Level-2 or 3 and so on ..(if required)
10. A short brief about the proposed system
Here we are going to create a DFD for SMS Mela.
The core task of the proposed system that the system will used for:
to register customer and store customer data
buy and sell SMS packages.
create user, packages, categories.
send SMS via customer.
manage user and customer.
store SMS log and data.
As there may possible to produce a several no of DFD from the above
scenario here we only represent the DFD which describes user core tasks
with the system.
14. Summary
From the overall presentation we could make this decision that DFD could be
very beneficial in System development life cycle. Despite it may consume
some project time in the beginning of the project but will return benefits in
the long run. It is also very much handy for collecting user requirements. So
we should use DFD for our best purpose.