Automation
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The Selenium framework is built using Ruby and Selenium/Webdriver tools. It can execute scripts using Ant commands and allows prioritizing scripts by tag names. The framework integrates with Hudson by configuring and executing test runs via a Hudson job using the Ant buildfile and its targets. A Hudson job is configured by selecting triggers, build scripts, collecting artifacts/results, and notifications. Hudson then executes the job and the results can be analyzed on iAnalyze.
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AWS serverless architecture components such as Amazon S3, Amazon SQS, Amazon SNS, CloudWatch Logs, DynamoDB, Amazon Kinesis, and Lambda can be tightly constrained in their operation. However, it may still be possible to use some of them to propagate payloads that could be used to exploit vulnerabilities in some consuming endpoints or user-generated code. This session explores techniques for enhancing the security of these services, from assessing and tightening permissions in IAM to integrating further tools and mechanisms for inline and out-of-band payload analysis that are more typically applied to traditional server-based architectures, and generalising these techniques to APIs for all AWS services.
Getting Started with Selenium
The document provides an overview of getting started with Selenium and outlines 8 steps to write automated tests:
1. Define a test strategy by determining what to test and which browsers to support
2. Choose a programming language like Java and set up dependencies
3. Learn Selenium fundamentals like locating elements and common actions
4. Write a first test to log in to a sample site
5. Create page objects and a base page to make tests reusable and maintainable
6. Add waits to make tests more resilient when waiting for elements
7. Set up a test harness for centralized setup/teardown, reporting and parallelization
8. Add cross-browser testing by using browser drivers locally or remotely
Power of Azure Devops
Devops core principles
CI/CD basics
CI/CD with asp.net core webapi and Angular app
Iac Why and What?
Demo using Azure and Azure Devops
Docker why and what ?
Demo using Azure and Azure Devops
Kubernetes why and what?
Demo using Azure and Azure Devops
Session 2
This document provides an overview of source control and version control using Git and GitHub. It discusses setting up projects using Maven and developing projects locally before pushing changes to repositories on GitHub. Specifically, it covers initializing and committing code to a Git repository, forking and cloning existing projects on GitHub, and using pull requests to share code changes between remote repositories.
Session 2
This document provides an overview of source control and version control using Git and GitHub. It discusses setting up projects with Maven and developing projects locally before pushing changes to GitHub repositories. The key points covered include: setting up source control with Git, forking and cloning repositories on GitHub, making changes locally and pushing updates via pull requests. Maven is also introduced for building Java projects and managing dependencies in an automated way.
MoT Athens meets Thessaloniki Software Testing & QA meetup
MoT Athens meets Thessaloniki Software Testing & QA meetupThessaloniki Software Testing and QA meetup
Test Automation using Cypress
Fundamentals & Advanced Techniques
Anastasia Tsavdari-Gkiorgini (QA Engineer)
Georgios Iliadis (Lead QA Engineer)
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Presentation 1 open source tools in continuous integration environment v1.0
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Strategies and Tips for Building Enterprise Drupal Applications - PNWDS 2013
Strategies and Tips for Building Enterprise Drupal Applications - PNWDS 2013
Integrating Security into DevOps and CI / CD Environments - Pop-up Loft TLV 2017
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MoT Athens meets Thessaloniki Software Testing & QA meetup
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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:
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
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Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
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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/albumentations20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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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.
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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.
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How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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National Security Agency - NSA mobile device best practices
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Automation
- 1. Selenium Framework • Selenium Framework is Built using Ruby and Selenium/Webdriver tool. • Framework is capable of executing using Ant command. • Framework provides the option to execute scripts at groups level by providing the tag names and priority. • Tags and priority are added to each scripts as properties.
- 2. Hudson Integration • The main point of integration between the Selenium framework and Hudson concerns the ability to configure and execute test runs via a Hudson job • The Ant Buildfile The Selenium Ant buildfile provides several targets that can be used to run Selenium tests, along with a set of overridable default properties to control the configuration of the test runs.
- 3. Hudson Job Configuration Select "New Job", then choose "Build a free-style software project". This job type consists of the following elements: 1. optional SCM, such as CVS or Subversion where your source code resides. 2. optional triggers to control when Hudson will perform builds. 3. Some sort of build script that performs the build (ant, maven, shell script, batch file, etc.) where the real work happens 4. optional steps to collect information out of the build, such as archiving the artifacts and/or recording javadoc and test results. 5. optional steps to notify other people/systems with the build result, such as sending e-mails, IMs, updating issue tracker, etc.
- 4. Hudson - Job Execution
- 5. Hudson - Result Analysis
- 6. iAnalysis - Vision iAnalyze URL :http://ianalyze.qa.linkedin.com/ 1. Time optimization and build health snap shot. 2. Need to Store Data, which helps to see the previous history of the script while analyzing the script . 3. Customized reports and graphs. 4. To overcome the communication lag by sharing the information among the QA teams.
- 7. iAnalyze- Advantages 1. To reduce the QA engineers effort while analyzing the script by providing previous history. 2. To have an centralized data sharing with other QA Engineers. 3. To reduce the effort of time for preparing the reports. 4. To make the Engineers to identify the issue and show the path with past history. 5. Association of bug to a script.