The Presentation-Abstraction-Control (PAC) pattern structures interactive software systems as a hierarchy of cooperating agents. Each agent has three components: presentation for the user interface, abstraction for the data model and functionality, and control for communication. This separates human and functional concerns and supports modularity, extensibility, and distribution of the system. Examples of PAC include air traffic control systems and content management systems like Drupal.
This lecture provide a detail concepts of user interface development design and evaluation. This lecture have complete guideline toward UI development. The interesting thing about this lecture is Software User Interface Design trends.
This lecture provide a detail concepts of user interface development design and evaluation. This lecture have complete guideline toward UI development. The interesting thing about this lecture is Software User Interface Design trends.
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
Architectural Styles and Case Studies, Software architecture ,unit–2Sudarshan Dhondaley
Architectural styles; Pipes and filters; Data abstraction and object-oriented organization; Event-based, implicit invocation; Layered systems; Repositories; Interpreters; Process control; Other familiar architectures; Heterogeneous architectures. Case Studies: Keyword in Context; Instrumentation software; Mobile robotics; Cruise control; three vignettes in mixed style.
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
Architectural Styles and Case Studies, Software architecture ,unit–2Sudarshan Dhondaley
Architectural styles; Pipes and filters; Data abstraction and object-oriented organization; Event-based, implicit invocation; Layered systems; Repositories; Interpreters; Process control; Other familiar architectures; Heterogeneous architectures. Case Studies: Keyword in Context; Instrumentation software; Mobile robotics; Cruise control; three vignettes in mixed style.
Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.
Coda (Constant Data Avaialabilty) is a distributed file system developed at Carnegie Mellon University . This presentation explains how it works and different aspects of it.
A Model of Local Area Network Based Application for Inter-office Communicationtheijes
In most organizations, information circulation within offices poses a problem because clerical officers and office messengers usually dispatch letters and memos from one office to another manually. Sequel to this circulation procedure, implementation of decisions is always difficult and slow. On one hand, clerical officers sometimes divulge confidential information during the process of receiving and sending of mails and other documents. On the other hand, money is wasted on the purchase of paper for printing. However, it is cheerful to learn that technology has made it possible for staff, structures and infrastructures to control and share organization resources; hardware; software and knowledge by means of modern electronic communication. One cannot deny the fact that the flow of information is very imperative in every organization as it determines the effectiveness of decision-making and implementation. This feat can be achieved using Object-Oriented System Analysis and Design Methodology (OSADM). This is structurally analyzed with Use Case Diagram (UCD), Class Diagram, Sequence Diagram, State Transition Diagram, and Activity Diagram. Moreover, the system is coded with Java 1.6 version, in a client-server network running on star topology in LAN environment. This is the concept of this paper. The system is designed to work in two parts – the control part that is installed on the server; and the messenger part that is installed in the clients. This research work integrates the utility and organization resources into a shared center for all users to have access to; and for free communication during office hours.
Network Monitoring and Traffic Reduction using Multi-Agent TechnologyEswar Publications
In this paper the algorithms which could improve Transmission band and Network Traffic reduction for computer network has been shown. Problem solving is an area with which many Multiagent-based applications are concerned. Multiagent systems are computational systems in which several agents interact or work together to achieve some purposes. It includes distributed solutions to problems, solving distributed problems and distributed techniques for problem solving. Multiagent using for maximizing group performance with planning, execution, monitoring, communication and coordination. This paper also addresses some critical issues in developing
Multi agent-based traffic control and monitoring systems, such as interoperability, flexibility, and extendibility. Finally, several future research directions toward the successful deployment of Multiagent technology in traffic control and monitoring systems are discussed.
Multiagent Based Methodologies have become an
important subject of research in advance Software Engineering.
Several methodologies have been proposed as, a theoretical
approach, to facilitate and support the development of complex
distributed systems. An important question when facing the
construction of Agent Applications is deciding which
methodology to follow. Trying to answer this question, a
framework with several criteria is applied in this paper for the
comparative analysis of existing multiagent system
methodologies. The results of the comparative over two of them,
conclude that those methodologies have not reached a sufficient
maturity level to be used by the software industry. The
framework has also proved its utility for the evaluation of any
kind of Multiagent Based Software Engineering Methodology
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
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
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.
2. What is PAC?
The Presentation-Abstraction-
Control pattern (PAC) defines a
structure for interactive software
systems in the form of a
hierarchy of cooperating agents.
3. Moreover…
Every agent is responsible for a specific
aspect of the application's functionality
and consists of three components:
presentation, abstraction, and control. This
subdivision separates the human-computer
interaction aspects of the agent from its
functional core and its communication with
other agents.
4. As the comparison
The PAC abstraction component corresponds roughly
to the model component of MVC.
The presentation component in PAC is a combination
of the view and control components in MVC.
The control component of PAC mediates between
agents and has no equivalent in MVC.
5. Example
Consider a simple information system for political elections with
proportional representation. This offers a spreadsheet for entering data
and several kinds of tables and charts for presenting current standings.
Users interact with the software through a graphical interface.
Different versions, however, adapt the user interface to specific needs.
For example, one version supports additional views of the data, such as
the assignment of parliament seats to political parties.
The classic example of a PAC architecture is an air traffic control
system. One PAC Agent takes input from a radar system about the
location of an incoming 747, and uses the Presentation component to
paint a picture of that blip on a canvas (screen). Another Agent
independently takes input about a DC-10 that is taking off, and paints
that blip to the canvas as well. Still another takes in weather data and
paints clouds, while another tracks the incoming enemy bomber and
paints a red blip instead.
7. PAC Agents
In the context of the Presentation-Abstraction-
Control pattern, an agent is an information
processing component that includes:
– Event receivers and transmitters.
– Data structures to maintain state.
– processor that handles incoming events,
A
updates its own state, and may produce new
events.
Agents can be a s small as a single object, but also
as complex as a complete software system.
8. Context
Interactive systems can often be viewed as a set of
cooperating agents.
– Agents specialized in human-computer interaction accept
user input and display data.
– Other agents maintain the data model of the system and
offer functionality that operates on this data.
– Additional agents are responsible for diverse tasks such as
error handling or communication with other software
systems.
Besides this horizontal decomposition of system
functionality, we often encounter a vertical decomposition.
In such an architecture of cooperating agents, each agent is
specialized for a specific task, and all agents together
provide the system functionality. This architecture captures
both a horizontal and vertical decomposition.
9. Forces
Agents often maintain their own state and data.
– example, in a production planning system, the
For
production planning and the actual production control
may work on different data models, one tuned for planning
and simulation and one performance- optimized for
efficient production.
Interactive agents provide their own user interface, since
their respective human-computer interactions often differ
widely.
– example, entering data into spreadsheets is done using
For
keyboard input, while the manipulation of graphical
objects uses a pointing device.
Systems evolve over time.
– Their presentation aspect is particularly prone to change.
10. Solution
Structure the interactive application as a tree-like
hierarchy of PAC agents.
There should be one top-level agent, several
intermediate- level agents, and even more bottom-
level agents.
Every agent is responsible for a specific aspect of the
application's functionality, and consists of three
components: presentation, abstraction, and control.
The whole hierarchy reflects transitive dependencies
between agents. Each agent depends on all higher-
level agents up the hierarchy to the top-level agent.
11.
12. How it works?
The agent's presentation component provides the
visible behavior of the PAC agent.
Its abstraction component maintains the data model
that underlies the agent, and provides functionality
that operates on this data.
Its control component connects the presentation and
abstraction components, and provides functionality
that allows the agent to communicate with other PAC
agents.
13.
14. Top-Level
The top-level PAC agent provides the functional core
of the system.
– The top-level PAC agent includes those parts of the
user interface that cannot be assigned to particular
subtasks, such as menu bars or a dialog box displaying
information about the application.
– Most other PAC agents depend or operate on this
core.
15. Bottom-level
Bottom-level PAC agents represent self-contained
concepts on which users of the system can act, such as
spreadsheets and charts.
– The bottom-level agents present these concepts to the
user and support all operations that users can perform
on these agents, such as zooming or moving a chart.
16. Intermediate-level
Intermediate-level PAC agents represent either
combinations of, or relationships between, lower-level
agents, e.g. a floor plan and an external view of a house
in a CAD system for architecture.
17. PAC Benefits
Separation of concerns.
– Different semantic concepts in the application domain are
represented by separate agents.
– Each agent maintains its own state and data, coordinated
with, but independent of other PAC agents.
– Individual PAC agents also provide their own user interface.
– This allows the development of a dedicated data model and
user interface for each semantic concept or task within the
application, independently of other semantic concepts or tasks.
Support for change and extension.
– Changes within the presentation or abstraction components of
a PAC agent do not affect other agents in the system.
– New agents are easily integrated into an existing PAC
architecture without major changes to existing PAC agents.
18. Continue….
Support for multitasking.
– PAC agents can be distributed easily to different
threads, processes, or machines. Extending a PAC
agent with appropriate inter-process communication
functionality only affects its control component.
– Multitasking also facilitates multi-user applications.
For example, in our information system a newscaster
can present the latest projection while data entry
personnel update the data base with new election
data.
19. Liability of PAC
Increased system complexity.
– The implementation of every semantic concept within an application
as its own PAC agent may result in a complex system structure.
– If the level of granularity is too fine, the system could drown in a sea
of agents. Agents must also be coordinated and controlled, which
requires additional coordination agents.
Complex control component.
– The quality of the control component implementations is therefore
crucial to an effective collaboration between agents, and therefore for
the overall quality of the system architecture.
Efficiency.
– The overhead in the communication between PAC agents may impact
system efficiency especially if agents are distributed.
Applicability.
– The smaller the atomic semantic concepts of an application are, and
the more similar their user interfaces, the less applicable this pattern is.
20. Usage examples
On the server side, Drupal follows the PAC (Presentation-
Abstraction-Control) design pattern.
The Drupal Core provides the controller. It responds to user
requests and routes them to the appropriate handlers.
The theme system provides the presentation layer. The modules
(including the built-in modules like Node) access and
manipulate the data which is the job of the abstraction layer.
The menu system acts as the Controller. It accepts input via a
single source (HTTP GET and POST), routes requests to the
appropriate helper functions, pulls data out of the Abstraction
(nodes and, in Drupal 5, forms), and then pushes it through a
filter to get a Presentation of it (the theme system). It even has
multiple, parallel PAC agents in the form of blocks that push
data out to a common convas (page.tpl.php).