This document discusses a study of variability evolution patterns in the Linux kernel. The researchers analyzed how features are removed from the configuration space over time in Linux across three pairs of stable releases. They identified four patterns through manual analysis of 140 removed features, including patterns where an optional feature becomes implicit/mandatory or where features are merged through module aliasing. The patterns show that features can disappear from the configuration space while still existing in other spaces, which previous evolution studies focusing only on variability models did not capture.
This document discusses 4 key points about an unspecified topic. Specifically, it introduces the topic, provides some context, notes two impacts, and concludes by emphasizing the importance of addressing this issue. While limited details are given, the overall gist seems to be calling attention to an issue and its effects.
In this paper, we develop a vision of software evolution based
on a feature-oriented perspective. From the fact that features
provide a common ground to all stakeholders, we derive a
hypothesis that changes can be eectively managed in a
feature-oriented manner. Assuming that the hypothesis holds,
we argue that feature-oriented software evolution relying
on automatic traceability, analyses, and recommendations
reduces existing challenges in understanding and managing
evolution. We illustrate these ideas using an automotive
example and raise research questions for the community.
This document summarizes a study of variability model coevolution patterns in the Linux kernel. The researchers analyzed over 4,000 changes to identify 13 patterns of how the variability model, mappings, and implementation coevolved together. The most common patterns were adding and removing optional modular and non-modular features. A key finding was that merges, where a feature is removed from the model but still supported, require analyzing all coevolving artifacts. The patterns provide concrete operations for tool builders to mirror real-world coevolution.
In the past, much effort has been invested in high performance kernel tracing tools, but now focus in the tracing community seems to be shifting over to efficient user space application tracing. By providing joint kernel and user space tracing, developers can have deeper insights in their applications latencies. This presentation covers the ongoing efforts within the LTTng project to enhance system-wide tracing at the user space level. It discusses instrumentation sources such as Tracepoints, Uprobes, and SystemTAP SDT providers, along with their integration with LTTng. A brief overview of the latest and upcoming features of the user space tracer is presented. It also discusses ongoing efforts in the area of trace format and control protocol standardisation. Finally, our presentation includes challenging glibc-related issues encountered during LTTng-UST development, opening the discussion on how to improve and collaborate on user-space instrumentation.
The targeted audience is user space and kernel developers, those interested in tracing infrastructure, shared system libraries, and application instrumentation.
https://jenkins.jp/juc2018/
How to modernize legacy Jenkins pipeline with useful plugins.
Migrate from Freestyle to Pipeline.
Provide scalable pipeline with Multibranch Pipeline.
This presentation gives an introduction to git and EGit was presented at the Belgian Eclipse User Group meeting of August 31th hosted by Inventive Designers.
This document discusses 4 key points about an unspecified topic. Specifically, it introduces the topic, provides some context, notes two impacts, and concludes by emphasizing the importance of addressing this issue. While limited details are given, the overall gist seems to be calling attention to an issue and its effects.
In this paper, we develop a vision of software evolution based
on a feature-oriented perspective. From the fact that features
provide a common ground to all stakeholders, we derive a
hypothesis that changes can be eectively managed in a
feature-oriented manner. Assuming that the hypothesis holds,
we argue that feature-oriented software evolution relying
on automatic traceability, analyses, and recommendations
reduces existing challenges in understanding and managing
evolution. We illustrate these ideas using an automotive
example and raise research questions for the community.
This document summarizes a study of variability model coevolution patterns in the Linux kernel. The researchers analyzed over 4,000 changes to identify 13 patterns of how the variability model, mappings, and implementation coevolved together. The most common patterns were adding and removing optional modular and non-modular features. A key finding was that merges, where a feature is removed from the model but still supported, require analyzing all coevolving artifacts. The patterns provide concrete operations for tool builders to mirror real-world coevolution.
In the past, much effort has been invested in high performance kernel tracing tools, but now focus in the tracing community seems to be shifting over to efficient user space application tracing. By providing joint kernel and user space tracing, developers can have deeper insights in their applications latencies. This presentation covers the ongoing efforts within the LTTng project to enhance system-wide tracing at the user space level. It discusses instrumentation sources such as Tracepoints, Uprobes, and SystemTAP SDT providers, along with their integration with LTTng. A brief overview of the latest and upcoming features of the user space tracer is presented. It also discusses ongoing efforts in the area of trace format and control protocol standardisation. Finally, our presentation includes challenging glibc-related issues encountered during LTTng-UST development, opening the discussion on how to improve and collaborate on user-space instrumentation.
The targeted audience is user space and kernel developers, those interested in tracing infrastructure, shared system libraries, and application instrumentation.
https://jenkins.jp/juc2018/
How to modernize legacy Jenkins pipeline with useful plugins.
Migrate from Freestyle to Pipeline.
Provide scalable pipeline with Multibranch Pipeline.
This presentation gives an introduction to git and EGit was presented at the Belgian Eclipse User Group meeting of August 31th hosted by Inventive Designers.
In computer/mobile product world, due to the stability, project timeline, etc considerations, latest upstream kernel isn't their preference. The long term stable kernel is. But if you want to some latest features which only is in upstream kernel. You have to backport them to old stable kernel.
This presentation will share the kernel feature backport experience with audience, help them understand how to do backports quickly and effectively without detailed knowledge of the target feature, thus giving more flexibility and Improving productivity when making products.
It will talk by some examples, to discuss how to get info from backport request, how to find necessary commits, how to get dependency, how to resolve conflicts, and finally how to test it.
This presentation was delivered by Alex Shi at LinuxCon Japan 2016.
Training Slides: Advanced 303: Upgrading from Tungsten Clustering 5.x Multi-S...Continuent
Ā
In our advanced training, we discuss upgrading from Tungsten Clustering 5.x multi-site/multi-master to 6.0 multimaster. ā āWe review the key differences between Tungsten Clustering v5 and v6, discuss new service names, and walk through an upgrade with a full end-to-end demo. Basic MySQL and MySQL replication knowledge is assumed.
Course Prerequisite Learning
- Basics: Introduction to Clustering
- Advanced: Multi-Site/Multi-Master Tungsten Clustering Deployments for Geo-Distributed Applications
AGENDA
- Review the key difference between v5 and v6
- Discuss new Service Names
- Walkthrough an Upgrade (Full end to end demo)
Directive-based approach to Heterogeneous ComputingRuymƔn Reyes
Ā
The document discusses a directive-based approach to heterogeneous computing. It describes how applications used in HPC centers commonly use MPI and OpenMP programming models. It also discusses how complexity arises from mixing different Fortran dialects and the need for faster ways to migrate code to new architectures like accelerators without rewriting the code. The document proposes using directives to enhance legacy code for heterogeneous systems in a portable way.
3450 - Writing and optimising applications for performance in a hybrid messag...Timothy McCormick
Ā
Messaging architectures in any environment, from local standalone deployments through to public clouds, must provide the highest reliability yet maximize their performance. This session gives you an insight into IBM MQ and how applications can be made to perform to their absolute best while maintaining the data integrity that IBM MQ is renowned for. We'll see how this can be achieved through a combination of good application design, system tuning and architectural patterns.
Linuxcon Barcelon 2012: LXC Best Practiceschristophm
Ā
This document discusses LXC (Linux Containers) best practices. It provides an overview of LXC, including how it uses kernel namespaces and cgroups for resource isolation. It covers common LXC commands, configuration, templates, networking, checkpointing/freezing, recommendations, pitfalls, high availability using Pacemaker/DRBD, and alternatives like OpenVZ. The presentation aims to help users understand and effectively use LXC for virtualization.
Explores and discusses benefits of functional programming in Java and how to program in a functional style. Watch Venkat Subramaniam's talk at https://youtu.be/Ee5t_EGjv0A if you would like to learn more.
Jenkins2 - Coding Continuous Delivery PipelinesBrent Laster
Ā
Introduction to Jenkins 2 for creating pipelines - presented by Brent Laster, author of Jenkins 2, Up and Running, at Open Source 101 in Raleigh, February 2018
The monolith to cloud-native, microservices evolution has driven a shift from monitoring to observability. OpenTelemetry, a merger of the OpenTracing and OpenCensus projects, is enabling Observability 2.0. This talk gives an overview of the OpenTelemetry project and then outlines some production-proven architectures for improving the observability of your applications and systems.
Apache Kafka is the most used data streaming broker by companies. It could manage millions of messages easily and it is the base of many architectures based in events, micro-services, orchestration, ... and now cloud environments. OpenShift is the most extended Platform as a Service (PaaS). It is based in Kubernetes and it helps the companies to deploy easily any kind of workload in a cloud environment. Thanks many of its features it is the base for many architectures based in stateless applications to build new Cloud Native Applications. Strimzi is an open source community that implements a set of Kubernetes Operators to help you to manage and deploy Apache Kafka brokers in OpenShift environments.
These slides will introduce you Strimzi as a new component on OpenShift to manage your Apache Kafka clusters.
Slides used at OpenShift Meetup Spain:
- https://www.meetup.com/es-ES/openshift_spain/events/261284764/
This document introduces potential contributors to methods and tools for contributing to the open source XNAT project. It discusses how to submit bug reports and feature requests, share custom schemas, create new features by leveraging the REST API, and develop XNAT itself by fixing bugs and adding features. The document also outlines useful version control, build, dependency and debugging tools for XNAT developers, and demonstrates how to fix a bug, commit the change, and publish the patch.
From shipping rpms to helm charts - Lessons learned and best practicesAnkush Chadha, MBA, MS
Ā
Ankush Chadha from JFrog gave a presentation on lessons learned from shipping RPMs to containerized microservices running on Kubernetes. Some of the key lessons and best practices discussed included building Docker images once and promoting them through different environments, double tagging images for traceability, using Helm for application lifecycle management and dependency management in Kubernetes, implementing chaos testing, and designing microservices to be modular with reduced privileges. The presentation covered techniques like Kaniko for building images securely without a Docker daemon and using init containers and sidecars to split functionality in microservices.
Robotics Toolbox for MATLAB (Relese 9)CHIH-PEI WEN
Ā
This document describes the Robotics Toolbox version 9.8 for MATLAB. It provides an overview of changes from previous versions including new documentation, functions, and improvements. The toolbox contains functions and classes for modeling and simulating robot kinematics and dynamics. It supports robots like Puma, Stanford, and mobile robots. The toolbox is open source and available on the author's website with documentation on using it for teaching, research, and solving robotics problems.
This document provides guidance on using Python from MATLAB, including how to install Python, call Python functions from MATLAB, pass data between MATLAB and Python, and work with common Python types like lists, tuples, and dictionaries. It also discusses limitations, troubleshooting error messages, and requirements for the Python interface.
For this info-packed and hands-on workshop we cover:
š Introduction to Kubernetes & GitOps talk:
We cover the most popular path that has brought success to many users already - GitOps as a natural evolution of Kubernetes. We'll give an overview of how you can benefit from Kubernetes and GitOps: greater security, reliability, velocity and more. Importantly, we cover definitions and principles standardized by the CNCF's OpenGitOps group and what it means for you.
š Get Started with GitOps:
You'll have GitOps up and running in about 30 mins using our free and open source tools! We'll give a brief vision of where you want to be with those security, reliability, and velocity benefits, and then we'll support you while go through the getting started steps. During the workshop, you'll also experience in action and see demos for:
- an opinionated repo structure to minimize decision fatigue
- disaster recovery using GitOps
- Helm charts example
- Multi-cluster example
- all with free and open source tools mostly in the CNCF (eg. Flux and Helm).
If you have questions before or after the workshop, talk to us at #weave-gitops http://bit.ly/WeaveGitOpsSlack (If you need to invite yourself to the Slack, visit https://slack.weave.works/)
This document describes Robert Kovacsics' diploma project to create a compiler from the Scheme programming language to Java bytecode. The project implements a front-end to parse Scheme code, a middle phase to transform the code, and a back-end to generate Java bytecode. The compiler supports basic language features like macros, Java interoperability, and tail-call optimization. The document outlines the requirements for the compiler and its development. It then describes the implementation process and modular structure. Finally, it evaluates the compiler's functionality and performance.
Git workflow involves setting up repositories, branching strategies, and code integration processes. There are several common workflows including feature branches with code review, GitFlow, GitHubFlow, and trunk-based development. These workflows differ in their branching structures and lines of development but commonly involve long-lived main/trunk branches and short-lived branches for changes and fixes that are merged back.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
Ā
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions.
About the author
With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the worldās largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
torque - Automation Testing Tool for C-C++ on LinuxJITENDRA LENKA
Ā
This document describes Torque, an automation testing tool for C/C++ projects in Linux. It uses open source tools like splint, valgrind, and lcov/gcov for static analysis, code coverage, and memory management testing respectively. The tool has a simple design architecture with directories for source code, headers, libraries, tests, configuration files, and supporting tools. Test scripts are written and executed to generate reports on code coverage, compilation logs, memory checks, static analysis, and test status. The goal is to provide full testing capabilities at low cost compared to commercial tools.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
Ā
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
ā¢ Communication Mining Overview
ā¢ Why is it important?
ā¢ How can it help todayās business and the benefits
ā¢ Phases in Communication Mining
ā¢ Demo on Platform overview
ā¢ Q/A
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
Ā
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
In computer/mobile product world, due to the stability, project timeline, etc considerations, latest upstream kernel isn't their preference. The long term stable kernel is. But if you want to some latest features which only is in upstream kernel. You have to backport them to old stable kernel.
This presentation will share the kernel feature backport experience with audience, help them understand how to do backports quickly and effectively without detailed knowledge of the target feature, thus giving more flexibility and Improving productivity when making products.
It will talk by some examples, to discuss how to get info from backport request, how to find necessary commits, how to get dependency, how to resolve conflicts, and finally how to test it.
This presentation was delivered by Alex Shi at LinuxCon Japan 2016.
Training Slides: Advanced 303: Upgrading from Tungsten Clustering 5.x Multi-S...Continuent
Ā
In our advanced training, we discuss upgrading from Tungsten Clustering 5.x multi-site/multi-master to 6.0 multimaster. ā āWe review the key differences between Tungsten Clustering v5 and v6, discuss new service names, and walk through an upgrade with a full end-to-end demo. Basic MySQL and MySQL replication knowledge is assumed.
Course Prerequisite Learning
- Basics: Introduction to Clustering
- Advanced: Multi-Site/Multi-Master Tungsten Clustering Deployments for Geo-Distributed Applications
AGENDA
- Review the key difference between v5 and v6
- Discuss new Service Names
- Walkthrough an Upgrade (Full end to end demo)
Directive-based approach to Heterogeneous ComputingRuymƔn Reyes
Ā
The document discusses a directive-based approach to heterogeneous computing. It describes how applications used in HPC centers commonly use MPI and OpenMP programming models. It also discusses how complexity arises from mixing different Fortran dialects and the need for faster ways to migrate code to new architectures like accelerators without rewriting the code. The document proposes using directives to enhance legacy code for heterogeneous systems in a portable way.
3450 - Writing and optimising applications for performance in a hybrid messag...Timothy McCormick
Ā
Messaging architectures in any environment, from local standalone deployments through to public clouds, must provide the highest reliability yet maximize their performance. This session gives you an insight into IBM MQ and how applications can be made to perform to their absolute best while maintaining the data integrity that IBM MQ is renowned for. We'll see how this can be achieved through a combination of good application design, system tuning and architectural patterns.
Linuxcon Barcelon 2012: LXC Best Practiceschristophm
Ā
This document discusses LXC (Linux Containers) best practices. It provides an overview of LXC, including how it uses kernel namespaces and cgroups for resource isolation. It covers common LXC commands, configuration, templates, networking, checkpointing/freezing, recommendations, pitfalls, high availability using Pacemaker/DRBD, and alternatives like OpenVZ. The presentation aims to help users understand and effectively use LXC for virtualization.
Explores and discusses benefits of functional programming in Java and how to program in a functional style. Watch Venkat Subramaniam's talk at https://youtu.be/Ee5t_EGjv0A if you would like to learn more.
Jenkins2 - Coding Continuous Delivery PipelinesBrent Laster
Ā
Introduction to Jenkins 2 for creating pipelines - presented by Brent Laster, author of Jenkins 2, Up and Running, at Open Source 101 in Raleigh, February 2018
The monolith to cloud-native, microservices evolution has driven a shift from monitoring to observability. OpenTelemetry, a merger of the OpenTracing and OpenCensus projects, is enabling Observability 2.0. This talk gives an overview of the OpenTelemetry project and then outlines some production-proven architectures for improving the observability of your applications and systems.
Apache Kafka is the most used data streaming broker by companies. It could manage millions of messages easily and it is the base of many architectures based in events, micro-services, orchestration, ... and now cloud environments. OpenShift is the most extended Platform as a Service (PaaS). It is based in Kubernetes and it helps the companies to deploy easily any kind of workload in a cloud environment. Thanks many of its features it is the base for many architectures based in stateless applications to build new Cloud Native Applications. Strimzi is an open source community that implements a set of Kubernetes Operators to help you to manage and deploy Apache Kafka brokers in OpenShift environments.
These slides will introduce you Strimzi as a new component on OpenShift to manage your Apache Kafka clusters.
Slides used at OpenShift Meetup Spain:
- https://www.meetup.com/es-ES/openshift_spain/events/261284764/
This document introduces potential contributors to methods and tools for contributing to the open source XNAT project. It discusses how to submit bug reports and feature requests, share custom schemas, create new features by leveraging the REST API, and develop XNAT itself by fixing bugs and adding features. The document also outlines useful version control, build, dependency and debugging tools for XNAT developers, and demonstrates how to fix a bug, commit the change, and publish the patch.
From shipping rpms to helm charts - Lessons learned and best practicesAnkush Chadha, MBA, MS
Ā
Ankush Chadha from JFrog gave a presentation on lessons learned from shipping RPMs to containerized microservices running on Kubernetes. Some of the key lessons and best practices discussed included building Docker images once and promoting them through different environments, double tagging images for traceability, using Helm for application lifecycle management and dependency management in Kubernetes, implementing chaos testing, and designing microservices to be modular with reduced privileges. The presentation covered techniques like Kaniko for building images securely without a Docker daemon and using init containers and sidecars to split functionality in microservices.
Robotics Toolbox for MATLAB (Relese 9)CHIH-PEI WEN
Ā
This document describes the Robotics Toolbox version 9.8 for MATLAB. It provides an overview of changes from previous versions including new documentation, functions, and improvements. The toolbox contains functions and classes for modeling and simulating robot kinematics and dynamics. It supports robots like Puma, Stanford, and mobile robots. The toolbox is open source and available on the author's website with documentation on using it for teaching, research, and solving robotics problems.
This document provides guidance on using Python from MATLAB, including how to install Python, call Python functions from MATLAB, pass data between MATLAB and Python, and work with common Python types like lists, tuples, and dictionaries. It also discusses limitations, troubleshooting error messages, and requirements for the Python interface.
For this info-packed and hands-on workshop we cover:
š Introduction to Kubernetes & GitOps talk:
We cover the most popular path that has brought success to many users already - GitOps as a natural evolution of Kubernetes. We'll give an overview of how you can benefit from Kubernetes and GitOps: greater security, reliability, velocity and more. Importantly, we cover definitions and principles standardized by the CNCF's OpenGitOps group and what it means for you.
š Get Started with GitOps:
You'll have GitOps up and running in about 30 mins using our free and open source tools! We'll give a brief vision of where you want to be with those security, reliability, and velocity benefits, and then we'll support you while go through the getting started steps. During the workshop, you'll also experience in action and see demos for:
- an opinionated repo structure to minimize decision fatigue
- disaster recovery using GitOps
- Helm charts example
- Multi-cluster example
- all with free and open source tools mostly in the CNCF (eg. Flux and Helm).
If you have questions before or after the workshop, talk to us at #weave-gitops http://bit.ly/WeaveGitOpsSlack (If you need to invite yourself to the Slack, visit https://slack.weave.works/)
This document describes Robert Kovacsics' diploma project to create a compiler from the Scheme programming language to Java bytecode. The project implements a front-end to parse Scheme code, a middle phase to transform the code, and a back-end to generate Java bytecode. The compiler supports basic language features like macros, Java interoperability, and tail-call optimization. The document outlines the requirements for the compiler and its development. It then describes the implementation process and modular structure. Finally, it evaluates the compiler's functionality and performance.
Git workflow involves setting up repositories, branching strategies, and code integration processes. There are several common workflows including feature branches with code review, GitFlow, GitHubFlow, and trunk-based development. These workflows differ in their branching structures and lines of development but commonly involve long-lived main/trunk branches and short-lived branches for changes and fixes that are merged back.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
Ā
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions.
About the author
With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the worldās largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
torque - Automation Testing Tool for C-C++ on LinuxJITENDRA LENKA
Ā
This document describes Torque, an automation testing tool for C/C++ projects in Linux. It uses open source tools like splint, valgrind, and lcov/gcov for static analysis, code coverage, and memory management testing respectively. The tool has a simple design architecture with directories for source code, headers, libraries, tests, configuration files, and supporting tools. Test scripts are written and executed to generate reports on code coverage, compilation logs, memory checks, static analysis, and test status. The goal is to provide full testing capabilities at low cost compared to commercial tools.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
Ā
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
ā¢ Communication Mining Overview
ā¢ Why is it important?
ā¢ How can it help todayās business and the benefits
ā¢ Phases in Communication Mining
ā¢ Demo on Platform overview
ā¢ Q/A
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
Ā
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Ā
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Ā
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.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Ā
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
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 youāre at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. Weāll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Ā
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind fĆ¼r viele in der HCL-Community seit letztem Jahr ein heiĆes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und LizenzgebĆ¼hren zu kƤmpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer mƶglich. Das verstehen wir und wir mƶchten Ihnen dabei helfen!
Wir erklƤren Ihnen, wie Sie hƤufige Konfigurationsprobleme lƶsen kƶnnen, die dazu fĆ¼hren kƶnnen, dass mehr Benutzer gezƤhlt werden als nƶtig, und wie Sie Ć¼berflĆ¼ssige oder ungenutzte Konten identifizieren und entfernen kƶnnen, um Geld zu sparen. Es gibt auch einige AnsƤtze, die zu unnƶtigen Ausgaben fĆ¼hren kƶnnen, z. B. wenn ein Personendokument anstelle eines Mail-Ins fĆ¼r geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche FƤlle und deren Lƶsungen. Und natĆ¼rlich erklƤren wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt nƤherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Ćberblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und Ć¼berflĆ¼ssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps fĆ¼r hƤufige Problembereiche, wie z. B. Team-PostfƤcher, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Ā
Monitoring and observability arenāt 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 companyās observability stack.
While the dev and ops silo continues to crumbleā¦.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:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Ā
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
Ā
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This yearās report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
āIām still / Iām still / Chaining from the BlockāClaudio Di Ciccio
Ā
āAn Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.ā 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.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAGās diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of āhallucinationsā and improving the overall customer journey.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
Ā
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
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Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
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Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges ā from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
Ā
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Ā
FOSD Presentation
1. Towards a Catalog of Variability Evolution Patterns ā The
Linux Kernel Case
Leonardo Passos Krzysztof Czarnecki Andrzej Wasowski
University of Waterloo University of Waterloo IT University of Copenhagen
lpassos@gsd.uwaterloo.ca kczarnec@gsd.uwaterloo.ca wasowski@itu.dk
1/28 IV International Workshop on Feature Oriented Software Development (FOSDā12)
5. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
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6. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
3/28
7. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
Examples:
3/28
8. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
Examples:
ā¢ merge
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9. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
Examples:
ā¢ merge
ā¢ split
3/28
10. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
Examples:
ā¢ merge
ā¢ split
ā¢ rename
3/28
11. In evolving variant-rich software. . .
ā¢ New features are added
ā¢ Features are removed
1. feature is no longer supported: complete removal
2. feature continues to be supported, but its abstraction is no longer
present (disappears from the variability model).
Examples:
ā¢ merge
ā¢ split
ā¢ rename
ā¢ Constraints are changed, etc.
3/28
34. How do the three spaces evolve
together in real world variant
rich software?
10/28
35. How do the three spaces evolve
together in real world variant
rich software?
Focus: features that disappear from the
conļ¬guration space
10/28
36. Two goals
Understand the evolution of the three spaces in a
real-word variant rich software
11/28
37. Two goals
Understand the evolution of the three spaces in a
real-word variant rich software
Document our understanding in the form of evolution
patterns (preliminary).
11/28
39. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
13/28
40. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
13/28
41. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
13/28
42. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
ā¢ Continuous development
13/28
43. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
ā¢ Continuous development
ā¢ Contains multiple spaces:
13/28
44. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
ā¢ Continuous development
ā¢ Contains multiple spaces:
ā¦ conļ¬guration space: Kconļ¬g
13/28
45. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
ā¢ Continuous development
ā¢ Contains multiple spaces:
ā¦ conļ¬guration space: Kconļ¬g
ā¦ compilation space: Makeļ¬le
13/28
46. Qualities of Linux as a subject of study
ā¢ Mature: over 20 years since its ļ¬rst release
ā¢ Complex: over 6,000 features
ā¢ Changes are kept in a publicly available SCM Repository (git)
ā¢ Continuous development
ā¢ Contains multiple spaces:
ā¦ conļ¬guration space: Kconļ¬g
ā¦ compilation space: Makeļ¬le
ā¦ implementation space: C code
13/28
48. Data collection & Analysis
ā¢ Data collection is limited to three pairs of stable kernel releases in
x86 64
ā¢ For each pair, we considered only the features that disappeared
from the conļ¬guration space
ā¢ Manual analysis of 140 removals from a total of 220 (63%)
15/28
49. Infrastructure
ā¢ Extraction and reuse of Kconļ¬g parsing infrastructure from Linux
itself
ā¦ allow us to compute disappearing features among each release kernel
ā¢ Conversion of Linux patches from git into a relational database
ā¦ allow us to quickly identify which commit erases a feature from the
conļ¬guration space
ā¢ git log + gitk, grep: visualize and search logs
16/28
50. Extracting patterns is hard!
Diļ¬culties in analyzing patches when collecting patterns:
ā¢ unrelated changes (noise)
ā¢ technical comments (too much jargon)
ā¢ extensive set of changes
ā¢ everything is recorded in the SCM as addition/removal of lines
(too low level)
17/28
51. Four identiļ¬ed patterns
ā¢ Optional feature to implicit mandatory
ā¢ Computed attributed feature to code
ā¢ Merge features by module aliasing
ā¢ Optional feature to kernel parameter
Template: structure, instance and discussion
18/28
52. Four identiļ¬ed patterns
ā¢ Optional feature to implicit mandatory
ā¢ Computed attributed feature to code
ā¢ Merge features by module aliasing
ā¢ Optional feature to kernel parameter
Template: structure, instance and discussion
18/28
54. Structure & Instance
X X
... ... ... ...
Y CTC CTC[XY]
if Y, if Y, if X,
compile Y.c into Y.o compile Y.c into Y.o
compile X.c into X.c compile X.c into X.c
#ifdef X
Y.c #ifdef Y
...
Y.c #ifdef Y
...
#endif #endif
(Before) (After)
20/28
55. Structure & Instance
X X
... ... ... ...
Y CTC CTC[XY]
if Y, if Y, if X,
compile Y.c into Y.o compile Y.c into Y.o
compile X.c into X.c compile X.c into X.c
#ifdef X
Y.c #ifdef Y
...
Y.c #ifdef Y
...
#endif #endif
(Before) (After)
20/28
56. Structure & Instance
X X
... ... ... ...
Y CTC CTC[XY]
if Y, if Y, if X,
compile Y.c into Y.o compile Y.c into Y.o
compile X.c into X.c compile X.c into X.c
#ifdef X
Y.c #ifdef Y
...
Y.c #ifdef Y
...
#endif #endif
(Before) (After)
20/28
57. Structure & Instance
X X
... ... ... ...
Y CTC CTC[XY]
if Y, if Y, if X,
compile Y.c into Y.o compile Y.c into Y.o
compile X.c into X.c compile X.c into X.c
#ifdef X
Y.c #ifdef Y
...
Y.c #ifdef Y
...
#endif #endif
(Before) (After)
20/28
58. Structure & Instance
X X
... ... ... ...
Y CTC CTC[XY]
if Y, if Y, if X,
compile Y.c into Y.o compile Y.c into Y.o
compile X.c into X.c compile X.c into X.c
#ifdef X
Y.c #ifdef Y
...
Y.c #ifdef Y
...
#endif #endif
(Before) (After)
Instance: X = OCFS, Y= OCFS Access Control List
20/28
59. Discussion
Pattern should be used when:
ā¢ users should not be given the freedom to conļ¬gure Y
ā¦ e.g.: they may inadvertly forget to select it, as in Access Control List
(Y)
ā¢ Y is a critical feature that makes sense to exist in the software,
given the presence of its parent X
21/28
61. Direct implications
ā¢ Existing evolution studies (She et al. at Vamosā10, Lotufo et. al.
at SPLCā10) focus on the variability model alone: our patterns
show that features can be erased from the conļ¬guration space,
while still present in the implementation space
ā¢ Our patterns capture situations not covered by the existing SPL
evolution theory (Borba et al. at ITACā10)
ā¦ compatibility of product is not guaranteed (evolution is not safe)
23/28
63. Conclusions
ā¢ Evolution must focus on all spaces
ā¢ We presented 4 patterns extracted from Linux
ā¢ Our patterns explain the evolution of features removed from the
conļ¬guration space
ā¢ They show evolution steps not captured in previous studies (both
theoretical and empirical).
25/28