This tech note outlines makefile and project file generation, and how generated code
and build directories are arranged in the Q2-2005 release. Context
The Q2-2005 release eliminates the gencpp.bat/genproject.bat approach with a move to PathMATE GUI-based transformation for both RSA and Enterprise based developers. This provides an opportunity to replace the genproject.bat approach and refine the build directory structure.
The knowledge that's tested on the Linux Professional Institute's exams 101 and 102, which includes everything from basic Linux commands and concepts to installation of the operating system, essential network configuration, and kernel recompilation.
TALAT Lecture 2110.02: Product information structure, business concept and LCACORE-Materials
This lecture gives a brief introduction to the product information structure, a sustainable business concept and Life Cycle; it presents the product and process "Generic Code" - the chromosomes; it generates interest about the concept of "Know Your Product", "Life Cycle Logistics", "Universal Virtues" and "Material/Component Hierarchical Structure" and their use creating a sustainable business concept; it imparts knowledge about Life Cycle Assessment. Some familiarity with QFD (Quality Functions Deployment) principles is assumed.
CPU emulation has been used over the years for a multitude of objectives. It allows an application compiled for a specific target platform to be run on a host platform with a completely different or overlapping architecture set.
The knowledge that's tested on the Linux Professional Institute's exams 101 and 102, which includes everything from basic Linux commands and concepts to installation of the operating system, essential network configuration, and kernel recompilation.
TALAT Lecture 2110.02: Product information structure, business concept and LCACORE-Materials
This lecture gives a brief introduction to the product information structure, a sustainable business concept and Life Cycle; it presents the product and process "Generic Code" - the chromosomes; it generates interest about the concept of "Know Your Product", "Life Cycle Logistics", "Universal Virtues" and "Material/Component Hierarchical Structure" and their use creating a sustainable business concept; it imparts knowledge about Life Cycle Assessment. Some familiarity with QFD (Quality Functions Deployment) principles is assumed.
CPU emulation has been used over the years for a multitude of objectives. It allows an application compiled for a specific target platform to be run on a host platform with a completely different or overlapping architecture set.
Index-based instance identification allows for the efficient retrieval of object instances from an instance population. Object instances using index-based instance identification contain an “identifier” attribute - indicated by the IndexID marking -
that uniquely identifies the instance. This marking will result in the generation of an instance population structure that uses the C++ Standard Template Library std::map, reducing FIND/WHERE constructs based on the id attribute to map lookup
via std::map::find().
Alternatively when used in conjunction with the MaxIndex class marking, this will result in the generation of an instance population structure using an array, reducing FIND/WHERE constructs based on the id attribute to a direct array element access.
This Technical Note outlines binary instance data loading capabilities. Creation of instances for PIM domain classes is a key capability for PI-MDD systems, and different systems – and even different domains within a system – require different solutions to meet the overall functional and performance requirements.
The binary instance data can be sent to the application as a socket-based stream, or loaded via a process-local file. Binary instance loading provides the most concise data format and best performance for loading and inter-processor transport of large instance populations.
This document provides an overview of the range of options available in PathMATE to integrate non-modeled C and C++ code, types and components with your PI-MDD modeled systems, and also to provide usage key details on these features.
This Technical Note describes extensions to PathMATE’s C and C++ Maps to improve
static buffer management. These extensions support task-local memory management pools. They are based on the buffer manager.
The goals of this feature are to:
Reduce the run-time overhead associated with dynamic memory allocation, which normally goes through the BufferManager, an intertask-safe resource.
Allow for the specific sizing and allocation of dynamic memory blocks for specific classes.
The PI-MDD method for constructing software for complex and high performance systems
separates the complexities of the problem space subject matters from the strategies and
details of the implementation platforms the system executes within.
In PI-MDD one of the most fundamental disciplines pushes nearly all aspects of this complexity from the modeling space. So how is this clearly important, nearly ubiquitous, and non-trivial concern addressed with PI-MDD and PathMATE? The distributed deployment of PI-MDD models to multiple execution units is managed with an integrated set of model markings (properties), specialized code generation rules/templates and a flexible set of implementation mechanisms. The PIMDD models remain independent of this target environment topology, and can be deployed to
a range of topologies to support unit testing, system testing, and alternative deployment architectures.
This Technical Note describes the Message formats used in PathMATE Multi-Process
deployments when communicating between any two process instances.
Section 2 provides an overview of the different message protocol layers involved during
transmission defining basic terminology and the basic concepts.
Section 3 describes in the detail the PathMATE Application Messaging Protocol and all supported message formats, as defined for the CPP Transformation Maps in 8.2.0 software releases.
Appendix A lists sources for referenced information for Ethernet and TCPIP protocols.
This Technical Note describes the Message formats used in PathMATE Multi-Process deployments when communicating between any two process instances.
Section 2 provides an overview of the different message protocol layers involved during
transmission defining basic terminology and the basic concepts.
Section 3 describes in the detail the PathMATE Application Messaging Protocol and all supported message formats, as defined for the CPP Transformation Maps in 8.2.0 software releases.
Appendix A lists sources for referenced information for Ethernet and TCPIP protocols.
When building and maintaining large applications in a world that is rapidly evolving, keeping up with changing requirements and non-functionals over time is a huge challenge. Architecting your application in a modular way and loosely coupling modules using micro services provides you with a nicely decoupled system that still works very efficiently. Designing, evolving and versioning a micro service architecture is not easy, and over time, several design patterns and best practices have evolved that help you. Code examples can be found here: https://bitbucket.org/marrs/javaone-2014-microservices
DTrace and SystemTap are dynamic tracing frameworks available for Solaris and Linux respectively. This session will give an overview of the static DTrace probes available in both Drizzle and MySQL and show numerous examples of scripts that utilize these probes. Mixing dynamic and static probes will also be discussed.
This a really short and compact introduction to CMake mechanisum and common variables used. Showed in a simple groupe meeting of the REVES team of the INRIA Sophia Antipolis (France) to sudents/PhD.
Index-based instance identification allows for the efficient retrieval of object instances from an instance population. Object instances using index-based instance identification contain an “identifier” attribute - indicated by the IndexID marking -
that uniquely identifies the instance. This marking will result in the generation of an instance population structure that uses the C++ Standard Template Library std::map, reducing FIND/WHERE constructs based on the id attribute to map lookup
via std::map::find().
Alternatively when used in conjunction with the MaxIndex class marking, this will result in the generation of an instance population structure using an array, reducing FIND/WHERE constructs based on the id attribute to a direct array element access.
This Technical Note outlines binary instance data loading capabilities. Creation of instances for PIM domain classes is a key capability for PI-MDD systems, and different systems – and even different domains within a system – require different solutions to meet the overall functional and performance requirements.
The binary instance data can be sent to the application as a socket-based stream, or loaded via a process-local file. Binary instance loading provides the most concise data format and best performance for loading and inter-processor transport of large instance populations.
This document provides an overview of the range of options available in PathMATE to integrate non-modeled C and C++ code, types and components with your PI-MDD modeled systems, and also to provide usage key details on these features.
This Technical Note describes extensions to PathMATE’s C and C++ Maps to improve
static buffer management. These extensions support task-local memory management pools. They are based on the buffer manager.
The goals of this feature are to:
Reduce the run-time overhead associated with dynamic memory allocation, which normally goes through the BufferManager, an intertask-safe resource.
Allow for the specific sizing and allocation of dynamic memory blocks for specific classes.
The PI-MDD method for constructing software for complex and high performance systems
separates the complexities of the problem space subject matters from the strategies and
details of the implementation platforms the system executes within.
In PI-MDD one of the most fundamental disciplines pushes nearly all aspects of this complexity from the modeling space. So how is this clearly important, nearly ubiquitous, and non-trivial concern addressed with PI-MDD and PathMATE? The distributed deployment of PI-MDD models to multiple execution units is managed with an integrated set of model markings (properties), specialized code generation rules/templates and a flexible set of implementation mechanisms. The PIMDD models remain independent of this target environment topology, and can be deployed to
a range of topologies to support unit testing, system testing, and alternative deployment architectures.
This Technical Note describes the Message formats used in PathMATE Multi-Process
deployments when communicating between any two process instances.
Section 2 provides an overview of the different message protocol layers involved during
transmission defining basic terminology and the basic concepts.
Section 3 describes in the detail the PathMATE Application Messaging Protocol and all supported message formats, as defined for the CPP Transformation Maps in 8.2.0 software releases.
Appendix A lists sources for referenced information for Ethernet and TCPIP protocols.
This Technical Note describes the Message formats used in PathMATE Multi-Process deployments when communicating between any two process instances.
Section 2 provides an overview of the different message protocol layers involved during
transmission defining basic terminology and the basic concepts.
Section 3 describes in the detail the PathMATE Application Messaging Protocol and all supported message formats, as defined for the CPP Transformation Maps in 8.2.0 software releases.
Appendix A lists sources for referenced information for Ethernet and TCPIP protocols.
When building and maintaining large applications in a world that is rapidly evolving, keeping up with changing requirements and non-functionals over time is a huge challenge. Architecting your application in a modular way and loosely coupling modules using micro services provides you with a nicely decoupled system that still works very efficiently. Designing, evolving and versioning a micro service architecture is not easy, and over time, several design patterns and best practices have evolved that help you. Code examples can be found here: https://bitbucket.org/marrs/javaone-2014-microservices
DTrace and SystemTap are dynamic tracing frameworks available for Solaris and Linux respectively. This session will give an overview of the static DTrace probes available in both Drizzle and MySQL and show numerous examples of scripts that utilize these probes. Mixing dynamic and static probes will also be discussed.
This a really short and compact introduction to CMake mechanisum and common variables used. Showed in a simple groupe meeting of the REVES team of the INRIA Sophia Antipolis (France) to sudents/PhD.
SPACK: A Package Manager for Supercomputers, Linux, and MacOSinside-BigData.com
“HPC software is becoming increasingly complex. The space of possible build configurations is combinatorial, and existing package management tools do not handle these complexities well. Because of this, most HPC software is built by hand. This talk introduces “Spack“, an open-source tool for scientific package management which helps developers and cluster administrators avoid having to waste countless hours porting and rebuilding software. Spack uses concise package recipes written in Python to automate builds with arbitrary combinations of compilers, MPI versions, and dependency libraries. With Spack, users can rapidly install software without knowing how to build it; developers can efficiently manage automatic builds of tens or hundreds of dependency libraries; and HPC centers staff can deploy many versions of software for thousands of users.”
Watch the video: http://insidehpc.com/2017/04/spack-package-manager-supercomputers-linux-macos/
Learn more: https://spack.io/
and
http://www.hpcadvisorycouncil.com/events/2017/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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
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/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
2. Table Of Contents
1. Introduction........................................................................................... 1
Context ................................................................................................. 1
2. Projectfile/Makefile Generation ............................................................. 1
3. Build Directory Layout ........................................................................... 1
Defaults................................................................................................. 1
User Selections ....................................................................................... 2
Obsolete Properties ................................................................................. 2
4. Makefile Command Line ......................................................................... 3
5. What's Different from Old Build File Generation?................................... 3
Specifying Realized Code Locations ............................................................ 3
ii
3. 33 Commercial Street, Suite 2
Foxboro, Massachusetts 02035 U.S.A
www.PathfinderMDA.com
+1 508-543-7222
1. Introduction
This tech note outlines makefile and project file generation, and how generated code
and build directories are arranged in the Q2-2005 release.
Context
The Q2-2005 release eliminates the gencpp.bat/genproject.bat approach with
a move to PathMATE GUI-based transformation for both RSM and Rose based
developers. This provides an opportunity to replace the genproject.bat
approach and refine the build directory structure.
2. Projectfile/Makefile Generation
A new PathMATE platform model is provided with a transformation map for
build_top.arc. This template examines the specified TargetOS and the deployed
process topology, and then generates the required projectfiles or makefiles. After
the Q2-2005 release, the PathMATE GUI will be able to specify TargetOS on a per-
process basis, and this structure will allow build_top.arc to easily handle
heterogenous deployments.
3. Build Directory Layout
Defaults
Working from the PathMATE GUI from within Eclipse, all transformations are
done within a transformation project, with a project workspace directory.
Default locations for all generated output and build directories are relative to
the project workspace. The tree has the overall structure:
<project workspace> /
gc/ Generated code tree
<domain name>/ Generated domain code
sys/ Generated system infrastructure
<process name>/ Build area for process
<makefiles or projectfiles for this process' executable>
<target os>_<build type>/ Build area for specific target OS
GeneratedInfrastructure/ Build output for gc/sys
PathMATEMechanisms/ Build output for design/*/mechanisms
SystemMechanisms/ Build output for design/*/system
Technical Note: Build Generation 1
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<domain name>/ Build output for domain
For single process systems, a single process area for MAIN will result. For
multi-process systems, a process area for each process is generated.
User Selections
The following properties control the layout and population of the build area:
Marking name PIM Element Default Value Effect
Realized include file directories
AdditionalIncludes System <blank> (list separated by ";").
For makefiles, defines compiler
Compiler System gcc program name.
Compiler installation location;
CompilerInstall System c:/cygwin (Currently Cygwin only.)
Additional compiler symbol
Defines System <blank> definitions.
Specifies where the generated
GeneratedPath System <project workspace>/gc code is.
Sets up language extensions, and
appropriate defaults for
mechanism and system files. Use
ImplementationLanguage System none c, cpp, or java.
Indicates location of SW
MechanismsPath System PATHMATE_MAP_<language>/mechanisms mechanism files.
Directory where makefile builds
mechanisms files from in the case
MechanismsTargetPath System <MechanismsPath> of a remote build tree.
Realized include and
implementation file directories
(list separated by ";"). All
implementation files found in
these directories are added to the
project compartment for the
RealizedPath System,Domain <blank> system/domain as appropriate.
Indicates location of realized
SysUmlPath System PATHMATE_MAP_<language>/system system files.
Directory where makefile builds
system files from in the case of a
SysUmlTargetPath System <SysUmlPath> remote build tree.
When TargetOS == Win32,
project files for Visual Studio are
generated. This property
determines what version of Visual
Studio the generated files are for:
"VS7" targets version 7 (.NET),
and "VS6" targets version 6. For
TargetOS values other than
TargetIDE System VS7 "Win32", this property is ignored.
Win32, Cygwin, Solaris, Mercury,
TargetOS System Win32 Linux
Explicit compiler symbol
Undefines System <blank> undefinitions.
Obsolete Properties
Technical Note: Build Generation 2
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Obsolete
elements Notes
AnalysisDir no longer needed
spotlight, debug, or release; set via makefile variable
(from command line) or within compiler IDE; default
BuildType is spotlight
PathMATEInstallDir no longer needed
CygwinRoot Renamed to CompilerInstall
4. Makefile Command Line
Generated makefiles (TargetOS == Cygwin, Solaris, Mercury or Linux) have standard
targets to help you manage your system:
make -f <makefile>: Builds the default target - <system>.exe
make -f <makefile> <system>.exe : Builds <system>.exe
make -f <makefile> libs : Builds the library file for each domain
make -f <makefile> dirs : Create required output directories in build area
make -f <makefile> clean : Delete all output files (.o, .a)
Command line control over target type:
make -f <makefile> BUILDTYPE=spotlight {targets...}: Turn on -g and
Spotlight debugging (default)
make -f <makefile> BUILDTYPE=debug {targets...}: Turn on -g debugging only
(no Spotlight instrumentation)
make -f <makefile> BUILDTYPE=release {targets...}: Turn off all debug and
instrumentation
5. What's Different from Old Build File
Generation?
If you are familiar with language-specific project file or makefile generation from
PathMATE Maps version 5.02 or earlier, here's a summary of the marking changes
required to use build_top:
- Specify your ImplementationLanguage and TargetOS
- Add ../ to any relative RealizedPath markings (see below)
Specifying Realized Code Locations
The RealizedPath marking for domains is used to specify an optional directory
to get realized code files. This is a pathname relative to the build directory -
where the projectfile or makefile is generated to, and where the build is done.
Historically for single-process systems the default build directory has been the
<system>/project/<lang>. For multi-process systems each process has its
own build directory: <system>/project/<lang>/<process>.
Technical Note: Build Generation 3
6. 33 Commercial Street, Suite 2
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The new build generation capabilities have unified the default build directory
location by having single process systems generate to the MAIN process area
- just like a multi-process system. This change for single process systems
requires all RealizedPaths that were originally specified relative to the
<system>/project/<lang> directory to add a ../ to the RealizedPaths value to
account for the build directory mode to
<system>/project/<lang>/<process>.
For example, in the SimpleOven sample in C, the build directory was
pathmate/samples/SimpleOven/rose/project/c, and the ExternalDeviceControl
domain RealizedPath was:
Domain,SimpleOven.ExternalDeviceControl,RealizedPath,realized_c
Now the build directory is
pathmate/samples/SimpleOven/rose/project/c/MAIN, and marking changes
to:
Domain,SimpleOven.ExternalDeviceControl,RealizedPath,../realized_c
Technical Note: Build Generation 4
