The document describes an executable model that allows testing software before implementation. It includes an outline, system configuration map, workflow chart, and execution example. The executable model uses tools like UML modeling, prototyping, and simulation to derive use cases, draw scenarios, design user screens, and map messages to steps. This allows demonstrating scenarios, reviewing designs, and generating test cases before development. The expected benefits are improved quality, increased productivity through simulation, improved business understanding, and prepared foundations for test automation.
Explanation of Android MVP Architecture Pattern. This slide deck is used to explain the principles behind the pattern. It has a companion github repository which helps demonstrate the pattern.
https://github.com/jpotts18/android-mvp
Executable modeling and simulation of system software and processesTom Mens
In this short presentation I introduce the need for, and use of executable modelling for the purpose of developing and improving software systems and business processes. I present the need for modelling tools, modelling languages and formalisms. I also present some of the open challenges in this domain.
This presentation was given at an research meeting at the University of Mons (Belgium) in January 2016.
What does the future look like? Is it a dark space where we’re suffering from varying degrees of techamphetamine or are we heading towards a Utopian fantasy of abundance and harmony?
Understanding that our basic human needs and wants barely change, we explore the future state of a range of topics; from our need for physical sustenance through to our age-long fascination of transcending the limitations of our biology.
Looking at the future from a human perspective, our potential for greatness is teetering on a fine line between darkness and hope. We’re banking on the latter.
Explanation of Android MVP Architecture Pattern. This slide deck is used to explain the principles behind the pattern. It has a companion github repository which helps demonstrate the pattern.
https://github.com/jpotts18/android-mvp
Executable modeling and simulation of system software and processesTom Mens
In this short presentation I introduce the need for, and use of executable modelling for the purpose of developing and improving software systems and business processes. I present the need for modelling tools, modelling languages and formalisms. I also present some of the open challenges in this domain.
This presentation was given at an research meeting at the University of Mons (Belgium) in January 2016.
What does the future look like? Is it a dark space where we’re suffering from varying degrees of techamphetamine or are we heading towards a Utopian fantasy of abundance and harmony?
Understanding that our basic human needs and wants barely change, we explore the future state of a range of topics; from our need for physical sustenance through to our age-long fascination of transcending the limitations of our biology.
Looking at the future from a human perspective, our potential for greatness is teetering on a fine line between darkness and hope. We’re banking on the latter.
C.V, Narayanan - Open Source Tools for Test Management - EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on Open Source Tools for Test Management by C.V, Narayanan. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
The acute software testing process, tools we use and tools we\'ve developed. We test with both open source and licensed-based products, such as Selenium and Mercury.
Test automation efforts often result in failure or lack of long term commitment due to complexity and costs associated with maintaining test scripts. When testers find it difficult to construct, execute, or update scripts, expectations of management are not realized, resullting in project termination. We avoided test automation failure by utilizing an innovative framework which reduces maintenance burdens associated with test scripts while increases user productivity.
The Self Service Metadata Driven Loader Platform is a solution designed to streamline the data pipeline building process for data engineers and data scientists. It allows these professionals to quickly and easily create and manage their data pipelines, without the need for extensive technical knowledge. The platform utilizes metadata to drive the data loading process, making it simple for users to manage and organize their data sources. The user-friendly interface, combined with the metadata-driven approach, makes it an ideal solution for organizations looking to improve their data management processes. With this platform, data engineers and data scientists can spend more time analyzing and utilizing data, and less time on manual, repetitive tasks.
Enterprise QA and Application Testing ServicesHemang Rindani
Cygnet’s innovation and insight-driven software testing services have paved way for numerous path-breaking software applications. Our meticulous approach towards application testing eliminates pesky bugs, reduces the time-to-market while optimizing the total-cost-of-ownership.
Enterprise QA and Application Testing ServicesCygnet Infotech
Cygnet’s innovation and insight-driven software testing services have paved way for numerous path-breaking software applications. Our meticulous approach towards application testing eliminates pesky bugs, reduces the time-to-market while optimizing the total-cost-of-ownership.
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.
C.V, Narayanan - Open Source Tools for Test Management - EuroSTAR 2010TEST Huddle
EuroSTAR Software Testing Conference 2010 presentation on Open Source Tools for Test Management by C.V, Narayanan. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
The acute software testing process, tools we use and tools we\'ve developed. We test with both open source and licensed-based products, such as Selenium and Mercury.
Test automation efforts often result in failure or lack of long term commitment due to complexity and costs associated with maintaining test scripts. When testers find it difficult to construct, execute, or update scripts, expectations of management are not realized, resullting in project termination. We avoided test automation failure by utilizing an innovative framework which reduces maintenance burdens associated with test scripts while increases user productivity.
The Self Service Metadata Driven Loader Platform is a solution designed to streamline the data pipeline building process for data engineers and data scientists. It allows these professionals to quickly and easily create and manage their data pipelines, without the need for extensive technical knowledge. The platform utilizes metadata to drive the data loading process, making it simple for users to manage and organize their data sources. The user-friendly interface, combined with the metadata-driven approach, makes it an ideal solution for organizations looking to improve their data management processes. With this platform, data engineers and data scientists can spend more time analyzing and utilizing data, and less time on manual, repetitive tasks.
Enterprise QA and Application Testing ServicesHemang Rindani
Cygnet’s innovation and insight-driven software testing services have paved way for numerous path-breaking software applications. Our meticulous approach towards application testing eliminates pesky bugs, reduces the time-to-market while optimizing the total-cost-of-ownership.
Enterprise QA and Application Testing ServicesCygnet Infotech
Cygnet’s innovation and insight-driven software testing services have paved way for numerous path-breaking software applications. Our meticulous approach towards application testing eliminates pesky bugs, reduces the time-to-market while optimizing the total-cost-of-ownership.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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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.
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/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
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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
3. Outline
Based on the model that guaranteed traceability, 'Excutable model'
provides the environment that can be tested before implementation
through execution
5. Components
Implementation Plan
Tool
• StarUML NS (UML modeling tool)
• Prototyper (User UI drawing tool)
• Tool for a system Analyst
• Simulator (Tool that can be tested before development)
• Verify (Test automation tool)
Model
• Web App Profile
• Simulation Profile
• Test Profile
6. Executable scenario
Implementation
Derive Use Case
Draw Use Case Scenario
• Derive user screen, business logic, data
• Derive business performance step
With deduced user screen, utilizing 'Enki proto', design user screen
• Define required data while configuring user screen
• Define about action with button or screen
• Draw sample data set
Draw Sequence Diagram
• Map 'Message of Sequence Diagram' onto 'Step of Scenario'
• Map 'Message' onto action with button or screen
• Map earlier derived screen onto 'Boundary'
7. Utilization Example
Implementation Plan
Based on user requirement, after requirement analysis, utilize the executable model when
business manager demonstrates.
• Except implementation(Message) of Sequence, demonstrating screen unit movement
• To demonstrate, configure demonstrating data input remains as record
In the phase before development, overall scenario review and design verification before
implementation when the design completed
• Based on inputted data for demonstration, review implementation through message linking of
sequence
Generate test scenario based on the inputted data and Use Case scenario
• Leaving scenario and demonstration data, generate test scenario based on them
• Based on user screen design and correct test data, test automation is also available
• Need to configure an extra solution
8. Expected Benefit
Before implementation, software quality improved and productivity
increased through simulation from screen unit of user to code
Business understanding of developer improved through the flow of
screen unit and description
Productivity increased through analysis / Design information and
traceability based test scenario management
The foundation of test automation based on screen definition, the input
information of screen, etc. is prepared