The document summarizes the nine disciplines of the Rational Unified Process (RUP):
1) The Business Modeling Discipline involves understanding the business and domain model.
2) The Requirements Discipline involves eliciting, documenting, and agreeing on system requirements.
3) The Analysis and Design Discipline involves analyzing requirements and designing the system architecture and components.
4) The Implementation Discipline involves transforming the design into code and unit testing.
5) The Test Discipline involves defining and executing test plans and cases.
6) The Deployment Discipline involves planning and executing the system deployment.
7) The Configuration and Change Management Discipline involves managing versions and changes
E Roger Pressman Bruce Maxim Software Engineering_ A Practitioner's Approach 8e.
Chapter 5:
5.1 What is Agility?
5.3 What is an Agile Process?
5.3.1 Agility Principles.
5.3.2 The Politics of Agile Development
5.4 Extreme Programming
5.4.1 The XP process
5.5 Other Agile process Models
5.5.1 Scrum
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
A detail review of configuration and change management. This lecture provides details about how to manage different software versions of same software in a market with different customers clients and different set of functionalities.
E Roger Pressman Bruce Maxim Software Engineering_ A Practitioner's Approach 8e.
Chapter 5:
5.1 What is Agility?
5.3 What is an Agile Process?
5.3.1 Agility Principles.
5.3.2 The Politics of Agile Development
5.4 Extreme Programming
5.4.1 The XP process
5.5 Other Agile process Models
5.5.1 Scrum
Quality, quality concepts
Software Quality Assurance
Software Reviews
Formal Technical Reviews
SQA Group Plan
ISO 9000, 9001
Example
Internal and external attributes
A detail review of configuration and change management. This lecture provides details about how to manage different software versions of same software in a market with different customers clients and different set of functionalities.
“Selecting and implementing a new asset finance system? In the second of three articles, we go back to basics to take a look at what you need to consider at the start of your project to give yourself the best chance of success.”
This has necessarily been a brief look at Project Initiation. We welcome comments and would be happy to help you get your project off to a good start.
Asset finance system project initiation 101. “Selecting and implementing a new asset finance system? In the second of three articles, we go back to basics to take a look at what you need to consider at the start of your project to give yourself the best chance of success.” This has necessarily been a brief look at Project Initiation. We welcome comments and would be happy to help you get your project off to a good start.
Java programming presentations By Daroko blog
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Simply Google, Daroko Blog or visit (www.professionalbloggertricks.com/) to Know More about all these service now.
Do not just learn and go, apply them in real world.
Software Testing adds organizational value in quantitative and qualitative ways. Successful organizations recognize the importance of quality. Establishing a quality-oriented mindset is the responsibility of business leadership.
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.
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/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
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
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
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.
