System analysis and design involves analyzing an organization's existing system or planned system and designing a better system to improve the organization. The key steps in system analysis and design are analyzing the system needs, designing the recommended system, developing and documenting the software, testing and maintaining the system, and implementing and evaluating the system. System analysts play an important role in information systems development projects by understanding business problems and applying technology to solve them.
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
Unit 1
Introduction to software engineering, the software as product and a process
software process models – waterfall model, incremental development, reuse
oriented software engineering, introduction to agile.
Systems approach vs engineering approach,
case studies to explain 1) the importance of information systems, 2) availability
and reliability of information systems, 3) flexibility of information systems.
Unit 2
A. Software Development process : SDLC
B. Requirements Engineering – characteristics of requirement, requirement
elicitation and analysis, validation and verification
C. Identification of attributes.
D. Feasibility Analysis : technical and economic
Unit 3
3.1Data Flow Diagrams : Symbols, describing a good system with DFD
3.2DFD : leveling of DFD, logical and physical DFD
3.3Process Specification, Decision Tables.
3.4Introduction to ER Diagrams and Data Dictionary.
Unit 4
4.1Data Input Methods : Data input, coding techniques.
4.2Designing outputs : objectives of output design, design of output reports.
4.3Software development – introduction to project and modules, coupling
and cohesion
4.4 Case studies on DFD, ERD
Unit 5.
5.1Introduction and importance of software testing
5.2Software Security concept and software maintenance
5.3Control of information system
5.4Audit of information system
Unit 6
6.1Introduction to software development and deployment environment
6.2Introduction to component based software engineering
6.3Introduction to distributed software engineering
6.4Introduction to service oriented architecture
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
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.
Enterprise resource planning (ERP) is an enterprise-wide information system designed to coordinate all the resources, information, and activities needed to complete business processes such as order fulfillment or billing. ... Ideally, the data for the various business functions are integrated.
Fundamentals of different kinds of information systems
Roles of systems analysts
Phases in the systems development life cycle as they relate to Human- Computer Interaction (HCI) factors
Computer-Aided Software Engineering (CASE) tools
This presentation covers topic like Information Definition
Meaning of Information System
2.1 Component of Information System
2.2 Functional elements of Information System
2.3 Types of Information System
2.4 Application of Information System
2.5 Recognizing Information System
3. Information System and Society
3.1Information Society
3.2 Types of Information Society
4. Information System and Organization
4.1 ERP Information System in Organization
4.2Information System for a Business Organization.
5. Constraint and Limitation of Information System
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.
Enterprise resource planning (ERP) is an enterprise-wide information system designed to coordinate all the resources, information, and activities needed to complete business processes such as order fulfillment or billing. ... Ideally, the data for the various business functions are integrated.
Fundamentals of different kinds of information systems
Roles of systems analysts
Phases in the systems development life cycle as they relate to Human- Computer Interaction (HCI) factors
Computer-Aided Software Engineering (CASE) tools
discuss about System system analysis, system design, system analyst's role, Development of System through analysis, SDLC, Case Tools of SAD, Implementation, etc.
How to start as IT system analyst
How the system analyst works?
What are roles, a system analyst do when working on company, (startup, corporate)
What skills a system analyst must have?
want to be a system analyst? join our course at www.gaivo-systemworks.com
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. System Analysis and Design: what is it?
System
A set of detailed methods, procedures and routines established or
formulation to carry out specify activity, perform a duty or solve a problem.
3. System Analysis and Design: what is it?
System Analysis
The dissection of a system into its component pieces to study how those
component pieces interact and work.
(1)The survey and planning
(2)The study and analysis
(3)The definition
4. System Analysis and Design: what is it?
System Design
The process of defining the architecture, components, modules, interfaces
and data for a system to satisfy specified requirements.
5. Need for System Analysis and Design
- Installing a system without proper planning leads to great user
dissatisfaction and frequently causes the system to fall into disuse.
- Lends structure to the analysis and design of information systems.
- A series of processes systematically undertaken to improve a business
through the use of computerized information systems.
6. Roles of the System Analyst
- The analyst plays a key role in information systems development
projects.
- Must understand how to apply technology to solve business problems.
- Analyst may serve as change agents who identify the organizational
improvement.
7. Qualities of the SystemAnalyst
- Problem solver
- Communicator
- Strong personal and professional ethics
- Self-disciplined and self-motivated
8. System Analyst Recommend, Design, and
Maintain ManyTypes of Systems for Users
A system analyst may
be involved with any or
all of these systems at
each organization level
Operational Level
Knowledge Level
Higher Level
Strategic Level
9. OPERATIONAL LEVEL
Transaction Processing System (TPS)
It is a process of large amounts of data for routine business transactions.
• Boundary-Spanning
Its concerned with the detection of information. It has two primary sources and two main
sources.
Primary sources of Information
(1) Detect information
(2) Send information into the environment presenting the company in a favorable light.
Main sources of Information
(1) Business intelligence.
(2) Competitive information
• Support the day-to-day operations of the company
Example: Payroll Processing, Inventory Management.
10. KNOWLEDGE LEVEL
• Office Automation System (OAS)
• Supports data workers who share information, but do not usually create new knowledge
Examples:Word processing, Spreadsheets etc.
• Knowledge Work System (KWS)
• Supports professional workers such as scientists, engineers, and doctors
Examples: computer-aided design systems, virtual reality systems, investment workstations
11. HIGHER LEVEL
• Management Information System (MIS)
• To supports data worker who share information but do not usually create new knowledge.
Example:Word processing, Spreadsheets, Desktop publishing, Email Electronic scheduling,
Communication through voice mail, Email,Video
• Decision Support System (DSS)
• Aids decision makers in the making of decisions
Examples: financial planning with what-if analysis, budgeting with modeling
• Expert System (ES)
• Captures and uses the knowledge of an expert for solving a particular problem which leads
to a conclusion or recommendation.
Examples: MYCIN (an early expert system that used artificial intelligence ; XCON (eXpert
CONfigurer)
12. STRATEGIC LEVEL
• Executive Support System (ESS)
• Helps executives to make unstructured strategic decisions in an informed way
Examples: drill-down analysis, status access
• Group Decision Support System (GDSS)
• Permit group members to interact with electronic support
Examples: email, Lotus Notes
• Computer-Supported Collaborative Work System (CSCWS)
• CSCWS is a more general term of GDSS. It may include software support called
“groupware” for team collaboration via network computers.
Example: video conferencing,Web survey system
14. Systems analysts need to be aware that integrating
technologies affects all types of system
15. Ecommerce andWeb Systems
• Benefits
• Increasing user awareness of the availability of a service, product, industry, person, or
group.
• The possibility of 24-hour access for users.
• Improving the usefulness and usability of interface design.
• Creating a system that can extend globally rather than remain local, thus reaching
people in remote locations without worry of the time zone in which they are located.
16. Enterprise Resource Planning Systems (ERPS)
• Performs integration of many information systems existing on different
management levels and within different functions.
Example: SAP, Oracle
17. Wireless Systems
• System analyst may be asked to design standard or wireless communication
networks that integrate voice, video and email into organizational intranets
or industry extranets
• System analyst may also be asked to develop intelligent agents
• Wireless communication is referred as m-commerce (mobile commerce)
18. Open Source Software (OSS)
• An alternative of traditional software development where proprietary code
is hidden from the users
• Open source software is free to distribute, share and modify
• Characterized as a philosophy rather than simply the process of creating
new software
• Example: Linux Operating System, ApacheWeb Server, Mozilla FirefoxWeb
browser, Koha, Newgenlib, Evergreen, OPALS, Greenstone, DSpace, Plone,
Drupal, Eprint, and Joomla.
19. SYSTEMS DEVELOPMENT LIFE CYCLE (SDLC)
• Typically the SDLC has 7 steps in the in the development and improvement
of a computer system
20. IDENTIFYING PROBLEMS, OPPORTUNITIES,
AND OBJECTIVES
• Activity:
• Interviewing user management
• Summarizing the knowledge obtained
• Estimating the scope of the project
• Documenting the results
• Output:
• Feasibility report containing problem definition and objective summaries from which
management can make a decision on whether to proceed with the proposed project
21. DETERMINING HUMAN INFORMATION
REQUIREMENTS• Activity:
• Interviewing
• Sampling and investing hard data
• Questionnaires
• Observe the decision maker’s behavior and environment
• Prototyping
• Learn the who, what, where, when, how, and why of the current system
• Output:
• Analyst understands how users accomplish their work when interacting with a
computer; and begin to know how to make the new system more useful and usable.
The analyst should also know the business functions and have complete information on
the people, goals, data and procedure involved
22. ANALYZING SYSTEM NEEDS
• Activity:
• Create data flow diagrams.
• Complete the data dictionary.
• Analyze the structured decisions made.
• Prepare and present the system proposal.
• Output:
• Recommendation on what, if anything, should be done.
23. DESIGNINGTHE RECOMMENDED SYSTEM
• Activity:
• Design procedures for data entry
• Design the human-computer interface
• Design system controls
• Design files and/or database
• Design backup procedures
• Output
• Model of the actual system
24. DEVELOPING AND DOCUMENTING
SOFTWARE
• Activity:
• System analyst works with programmers to develop any original software
• Works with users to develop effective documentation
• Programmers design, code, and remove syntactical errors from computer programs
• Document software with help files, procedure manuals, andWeb sites with Frequently
Asked Questions
• Output:
• Computer programs
• System documentation
25. TESTING AND MAINTAININGTHE SYSTEM
• Activity:
• Test the information system
• System maintenance
• Maintenance documentation
• Output:
• Problems, if any
• Updated programs
• Documentation
26. IMPLEMENTING AND EVALUATINGTHE
SYSTEM
• Activity:
• Train users
• Analyst plans smooth conversion from old system to new system
• Review and evaluate system
• Output:
• Trained personnel
• Installed system
27. THE IMPACT OF MAINTENANCE
• Maintenance is performed for two reasons
• Removing software errors.
• Enhancing existing software.