The document discusses modeling software architecture, including what is modeled, how models are chosen and organized, and how models can be evaluated. Key points covered include:
- Architectural models capture principal design decisions of a system. Modeling is the documentation of these decisions.
- Stakeholders decide what to model based on their concerns and the cost/benefit of modeling different aspects.
- Common things modeled include components, connectors, interfaces, configurations, and rationale. Both functional and non-functional aspects can be modeled.
- Models are organized into views and viewpoints to manage complexity. Views focus on a particular concern.
Large software projects cannot be built without some amount of analysis and design. But not all parts of the system require the same amount of design. Some may not require any upfront design at all. Others require a few minutes of architecture discussion; some require weeks of analysis, documents and review. A balance is necessary: too much design and you're delaying the project; too little and you will add technical debt which you'll have to pay in future rewrites and painful maintaining.
How do we decide when design is needed and how much of it is needed? How do other Agile projects do it?
In this talk I discuss what the Agile literature has to say about architecture and how we can answer this question.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Large software projects cannot be built without some amount of analysis and design. But not all parts of the system require the same amount of design. Some may not require any upfront design at all. Others require a few minutes of architecture discussion; some require weeks of analysis, documents and review. A balance is necessary: too much design and you're delaying the project; too little and you will add technical debt which you'll have to pay in future rewrites and painful maintaining.
How do we decide when design is needed and how much of it is needed? How do other Agile projects do it?
In this talk I discuss what the Agile literature has to say about architecture and how we can answer this question.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
Brief introduction to Object Oriented Analysis and DesignAmrullah Zunzunia
This presentation was used to give a brief introduction to proper usage of Object Oriented Programming and to give a quick glance through Object Oriented Design principles
What Does the Webinar Cover?
You'll learn how to optimize varying parameters and disciplines throughout the lifecycle of the system within cost and schedule constraints without compromising performance. Real MBSE enables the execution of many activities in parallel, thus enabling the “faster and cheaper” part.
Many people can contribute to the design and development at the same time, because the information they create can be easily linked together to form abstractions that enable you to communicate the results at all levels. Dr. Dam uses a methodology that includes the technique, processes, and tools.
This methodology isn’t the only way to have a successful MBSE capability, but all three elements must be incorporated in any methodology you use. We offer this methodology as one that has proven successful over the past decade. It is based on methodologies used since the 1960s, but updated to the modern cloud computing, artificial intelligence age; that's now emerging toward the end of the second decade of the 21st Century.
Often people today work in a similar manner to how their grandparents worked in the 1960s, just with electronic tools instead of paper and pencil. Just creating a “model” doesn’t mean you are doing effective MBSE. This webinar will show you how to take MBSE into the 21st century.
By Martin Van Welie: This paper discusses and presents interaction patterns in user interfaces. These patterns are
focused on solutions to problems end-users have when interacting with systems.
Innoslate is a full lifecycle systems engineering tool that provides you with the capability to perform requirements analysis, functional and physical modeling, simulation, testing, and more all in one place.
Your host, Dr. Steven Dam, will walk you through all the changes from Innoslate 4.2. He'll show you the new Charts View and how to create and edit XY plots. You'll also get to see how you can generate Systems Requirements Documents (SRD) right from an asset diagram. Other new features that will be shown: Support Dashboard, Roll Up Models, Entity Definition Report, and Document Template Generation.
Being a very brief history of how "architecture" become a thing in software, and of how it delivers on its core claim to fame, which is:
Enabling you to Reason & Calculate about quite vague "Quality" requirements and thereby to achieve confidence of a successful system and happy customers
AsianPLoP'14: How and Why Design Patterns Impact Quality and Future ChallengesPtidej Team
Since their inception in the field of software engineering, design patterns have been the topic of much research work. This work as roughly divided into two directions: identifying, formalising, and publishing new design patterns on the one hand and measuring the impact of these design patterns on the other. Starting from a high-level view of quality, we discuss how design pattern can impact quality and be used to measure quality. Then, we discuss why design patterns can impact quality, in particular from the developers' perspective. Finally, we introduce new challenges faced the community defining and measuring design patterns due to multi-language systems.
In this first lecture, we discuss software quality, introduce the quality characteristic of maintainability, and argue that maintainability can be studied from four different points of view: (1) quality models, (2) good practices, (3) social studies, and (4) developers' studies. We discuss major works and results for these four points of view and show the last three can be used in the first one to build better quality models. We show that quality models are mandatory to make sense of any quality evaluation.
Recorded webinar for "Requirements Management Using Innoslate" on June 30th, 2020. Watch a walkthrough of the features in Innoslate that implement Requirements Management and Analysis. This webinar will cover:
Capturing requirements using the automated parser
Developing requirements from scratch
Checking quality of requirements
Tracing requirements to other model entities
Baselining requirements documents
Using diagrams and reports for requirements analysis
and more
This one hour webinar will give you a step by step approach to Requirements Management and Analysis.
Brief introduction to Object Oriented Analysis and DesignAmrullah Zunzunia
This presentation was used to give a brief introduction to proper usage of Object Oriented Programming and to give a quick glance through Object Oriented Design principles
What Does the Webinar Cover?
You'll learn how to optimize varying parameters and disciplines throughout the lifecycle of the system within cost and schedule constraints without compromising performance. Real MBSE enables the execution of many activities in parallel, thus enabling the “faster and cheaper” part.
Many people can contribute to the design and development at the same time, because the information they create can be easily linked together to form abstractions that enable you to communicate the results at all levels. Dr. Dam uses a methodology that includes the technique, processes, and tools.
This methodology isn’t the only way to have a successful MBSE capability, but all three elements must be incorporated in any methodology you use. We offer this methodology as one that has proven successful over the past decade. It is based on methodologies used since the 1960s, but updated to the modern cloud computing, artificial intelligence age; that's now emerging toward the end of the second decade of the 21st Century.
Often people today work in a similar manner to how their grandparents worked in the 1960s, just with electronic tools instead of paper and pencil. Just creating a “model” doesn’t mean you are doing effective MBSE. This webinar will show you how to take MBSE into the 21st century.
By Martin Van Welie: This paper discusses and presents interaction patterns in user interfaces. These patterns are
focused on solutions to problems end-users have when interacting with systems.
Innoslate is a full lifecycle systems engineering tool that provides you with the capability to perform requirements analysis, functional and physical modeling, simulation, testing, and more all in one place.
Your host, Dr. Steven Dam, will walk you through all the changes from Innoslate 4.2. He'll show you the new Charts View and how to create and edit XY plots. You'll also get to see how you can generate Systems Requirements Documents (SRD) right from an asset diagram. Other new features that will be shown: Support Dashboard, Roll Up Models, Entity Definition Report, and Document Template Generation.
Being a very brief history of how "architecture" become a thing in software, and of how it delivers on its core claim to fame, which is:
Enabling you to Reason & Calculate about quite vague "Quality" requirements and thereby to achieve confidence of a successful system and happy customers
AsianPLoP'14: How and Why Design Patterns Impact Quality and Future ChallengesPtidej Team
Since their inception in the field of software engineering, design patterns have been the topic of much research work. This work as roughly divided into two directions: identifying, formalising, and publishing new design patterns on the one hand and measuring the impact of these design patterns on the other. Starting from a high-level view of quality, we discuss how design pattern can impact quality and be used to measure quality. Then, we discuss why design patterns can impact quality, in particular from the developers' perspective. Finally, we introduce new challenges faced the community defining and measuring design patterns due to multi-language systems.
In this first lecture, we discuss software quality, introduce the quality characteristic of maintainability, and argue that maintainability can be studied from four different points of view: (1) quality models, (2) good practices, (3) social studies, and (4) developers' studies. We discuss major works and results for these four points of view and show the last three can be used in the first one to build better quality models. We show that quality models are mandatory to make sense of any quality evaluation.
Recorded webinar for "Requirements Management Using Innoslate" on June 30th, 2020. Watch a walkthrough of the features in Innoslate that implement Requirements Management and Analysis. This webinar will cover:
Capturing requirements using the automated parser
Developing requirements from scratch
Checking quality of requirements
Tracing requirements to other model entities
Baselining requirements documents
Using diagrams and reports for requirements analysis
and more
This one hour webinar will give you a step by step approach to Requirements Management and Analysis.
Software Archtecture.
Software design is a process to transform user requirements into some suitable form, which helps the programmer in software coding and implementation.
Software design is the important step in SDLC (Software Design Life Cycle), which moves the concentration from problem domain to solution domain. It tries to specify how to fulfill the requirements mentioned in SRS.
Software design plays an important role in developing software: during software design, software engineers produce various models that form a kind of blueprint of the solution to be implemented
From Model-based to Model and Simulation-based Systems ArchitecturesObeo
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Slides presented at MODEVAR 2024 co-located with VaMoS 2024: https://modevar.github.io/program/ Thanks to Jessie Galasso and Chico Sundermann for the invitation Abstract: "Variability models (e.g., feature models) are widely considered in software engineering research and practice, in order to develop software product lines, configurable systems, generators, or adaptive systems. Numerous success stories of variability models have been reported in different domains (e.g., automotive, aerospace, avionics) and the applicability broadens. However, the use of variability models is not yet universally adopted… Why? Some examples: variability models are not continuously extracted from projects and artefacts; each time a variability model is used, its expressiveness and language should be specialized; learning-based models are decoupled from variability models; modeling software variability should cover different layers and their interactions, etc. The list is arguably opinionated, incomplete, and based on my own practical experience, but also on observations of existing works. I will give 24 reasons to occupy your day as a researcher or practitioner in the field of variability modeling."
Slides: https://github.com/acherm/24RWVMANYU-VaMoS-MODEVAR/blob/main/vamos2024.md (Markdown content) PDF: https://github.com/acherm/24RWVMANYU-VaMoS-MODEVAR/blob/main/VaMoS2024-MODEVAR.pdf (slides in PDF format)
1
Lesson 5.3
UML Deployment Diagrams
Lesson 5.2
Distributed Systems Architecture (DSA) for Deployment
Lesson 5.1
Basic Vocabulary of the Deployment View
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2
3
4
5
Learning Module Table of Contents
Reference
Rozanski, N. and Woods, E. (2012) Software systems architecture (2nd Edition). Chapters 21 and 20.
Lesson 5.4 (time permitting)
Using Deployment Diagrams to Illustrate the Development View
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2
Lesson 5.3
UML Deployment Diagrams
Lesson 5.2
Distributed Systems Architecture (DSA) for Deployment
Lesson 5.1
Basic Vocabulary of the Deployment View
1
2
3
4
5
Let’s get started with the first lesson of the module
Reference
Rozanski, N. and Woods, E. (2012) Software systems architecture (2nd Edition). Chapters 21 and 20.
Lesson 5.4
Using Deployment Diagrams to Illustrate the Development View
2
System Architecture Views (using the ISO/IEC 42010 standard)
3
REF: ISO Software Architecture Standard as described by Rozanski and Woods
CONTEXT Views
FUNCTIONAL View
DATA View
TIMING View
DEVELOPMENT View
DELPOYMENT View
(we are here)
OPERATIONAL View
Not a new idea in systems design
Other architectural standards
Kruchten’s 4 + 1 architecture (IBM)
IEEE Standard 1471 that is the basis for your textbook
Zachman’s Framework for Information Systems Architecture
3
4
The Deployment View focuses on how hardware and software elements of your new system will be distributed or assigned across a network.
The deployment view includes both technical and non–technical
sub-views.
The deployment view shows how various implementation components will be distributed to specific ”nodes” on the network.
The deployment view shows the communication lines (wired and wireless) between processing nodes
What is the Deployment View of a System’s Design?
Overview of the Deployment ViewCharacteristics ExplanationDefinitionDescribes the processing and storage environment of your IT system/solution, and the potential points of failure for which you may need a service disruption and business continuity plan.ConcernsAll hardware, software, and storage nodes required for your system
Commercial (third party components) that must be purchased
Software components that must be built and where each will be executed (run-time environment)
Data storage components, capacity, and recovery
Network requirements and capacities
Points of failureArchitectural DescriptionsRun-time models
Network models
Technology dependency ModelsPossible ProblemsUnclear or inaccurate dependencies between required nodes in the network
Unproven technology choices, or obsolete technology choices
Missing or poorly developed service level agreements with user community
Lack of necessary technical knowledge or expertise
Deployment becoming an after thought – compromising design and construction already completed
Poor or no capacity planning analysis
No service disruption business continuity plan, or disaster recovery plan and environment
5
REF: Adapted from Rozanski and Woods (2012)
...
Fundamentals of object orientation, objects, classes, classification and object models delivered to post-graduate students of Object Oriented Software Engineering.
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.
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.
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.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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.
28. Natural Language Example “ The Lunar Lander application consists of three components: a data store component, a calculation component, and a user interface component. The job of the data store component is to store and allow other components access to the height, velocity, and fuel of the lander, as well as the current simulator time. The job of the calculation component is to, upon receipt of a burn-rate quantity, retrieve current values of height, velocity, and fuel from the data store component, update them with respect to the input burn-rate, and store the new values back. It also retrieves, increments, and stores back the simulator time. It is also responsible for notifying the calling component of whether the simulator has terminated, and with what state (landed safely, crashed, and so on). The job of the user interface component is to display the current status of the lander using information from both the calculation and the data store components. While the simulator is running, it retrieves the new burn-rate value from the user, and invokes the calculation component.”