Boehm Software Quality Model is an important Software Quality Model. Introduced in 1978, it helps define the usability, maintainability, and portability of the product. Learn more: www.professionalqa.com/boehm-software-quality-model
Distributed systems use multiple autonomous computers that communicate via messages to improve processing throughput, allow for CPU specialization, and provide fault tolerance. Faults in distributed systems can include data corruption, hanging processes, misleading return values, hardware/software/network outages, and resource overcommitment. To provide fault tolerance, processes are replicated across multiple computers so the system can continue functioning even if some processes fail. There are different types of faults like crash faults, omission faults, and Byzantine faults. Recovery from failures can use backward or forward recovery approaches.
This document discusses software project management. It outlines software processes, common problems, and methods for improving processes. Software processes involve many elements and sub-processes. Common problems include cost overruns, schedule delays, low productivity, and poor quality. There are three methods for improving processes: meta processes focus on organizational strategies and profitability, macro processes produce software within constraints for a project, and micro processes focus on iterations and risk resolution for a project team. The objective of process improvement is to maximize resources for productive activities and minimize overhead impacts on resources like personnel and schedule to ultimately enhance product quality.
Evolving role of Software,Legacy software,CASE tools,Process Models,CMMInimmik4u
The Evolving role of Software – Software – The changing Nature of Software – Legacy software, Introduction to CASE tools, A generic view of process– A layered Technology – A Process Framework – The Capability Maturity Model Integration (CMMI) – Process Assessment – Personal and Team Process Models. Product and Process. Process Models – The Waterfall Model – Incremental Process Models – Incremental Model – The RAD Model – Evolutionary Process Models – Prototyping – The Spiral Model – The Concurrent Development Model – Specialized Process Models – the Unified Process.
Software re-engineering is a process of examining and altering a software system to restructure it and improve maintainability. It involves sub-processes like reverse engineering, redocumentation, and data re-engineering. Software re-engineering is applicable when some subsystems require frequent maintenance and can be a cost-effective way to evolve legacy software systems. The key advantages are reduced risk compared to new development and lower costs than replacing the system entirely.
The document discusses the benefits of exercise for mental health. It states that regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness.
This document discusses software project management and cost estimation. It outlines five basic factors that influence software project costs: size, process, personnel, environment, and required quality. An equation is provided that estimates effort based on these five factors. The document also discusses the importance of cost estimation for feasibility analysis and return on investment calculations. It describes different techniques for software cost estimation including algorithmic modeling, expert judgment, top-down, bottom-up, and estimation by analogy.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
Distributed systems use multiple autonomous computers that communicate via messages to improve processing throughput, allow for CPU specialization, and provide fault tolerance. Faults in distributed systems can include data corruption, hanging processes, misleading return values, hardware/software/network outages, and resource overcommitment. To provide fault tolerance, processes are replicated across multiple computers so the system can continue functioning even if some processes fail. There are different types of faults like crash faults, omission faults, and Byzantine faults. Recovery from failures can use backward or forward recovery approaches.
This document discusses software project management. It outlines software processes, common problems, and methods for improving processes. Software processes involve many elements and sub-processes. Common problems include cost overruns, schedule delays, low productivity, and poor quality. There are three methods for improving processes: meta processes focus on organizational strategies and profitability, macro processes produce software within constraints for a project, and micro processes focus on iterations and risk resolution for a project team. The objective of process improvement is to maximize resources for productive activities and minimize overhead impacts on resources like personnel and schedule to ultimately enhance product quality.
Evolving role of Software,Legacy software,CASE tools,Process Models,CMMInimmik4u
The Evolving role of Software – Software – The changing Nature of Software – Legacy software, Introduction to CASE tools, A generic view of process– A layered Technology – A Process Framework – The Capability Maturity Model Integration (CMMI) – Process Assessment – Personal and Team Process Models. Product and Process. Process Models – The Waterfall Model – Incremental Process Models – Incremental Model – The RAD Model – Evolutionary Process Models – Prototyping – The Spiral Model – The Concurrent Development Model – Specialized Process Models – the Unified Process.
Software re-engineering is a process of examining and altering a software system to restructure it and improve maintainability. It involves sub-processes like reverse engineering, redocumentation, and data re-engineering. Software re-engineering is applicable when some subsystems require frequent maintenance and can be a cost-effective way to evolve legacy software systems. The key advantages are reduced risk compared to new development and lower costs than replacing the system entirely.
The document discusses the benefits of exercise for mental health. It states that regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness.
This document discusses software project management and cost estimation. It outlines five basic factors that influence software project costs: size, process, personnel, environment, and required quality. An equation is provided that estimates effort based on these five factors. The document also discusses the importance of cost estimation for feasibility analysis and return on investment calculations. It describes different techniques for software cost estimation including algorithmic modeling, expert judgment, top-down, bottom-up, and estimation by analogy.
The document discusses different types of software metrics that can be used to measure various aspects of software development. Process metrics measure attributes of the development process, while product metrics measure attributes of the software product. Project metrics are used to monitor and control software projects. Metrics need to be normalized to allow for comparison between different projects or teams. This can be done using size-oriented metrics that relate measures to the size of the software, or function-oriented metrics that relate measures to the functionality delivered.
This document discusses software quality assurance. It defines software quality and describes two types - quality of design and quality of conformance. It discusses quality concepts at the organizational, project, and process levels. It also describes software reviews, their types and purposes. Software quality assurance aims to establish organizational procedures and standards to achieve high quality software. Key SQA activities include applying technical methods, reviews, testing, enforcing standards and measurement.
The software process involves specification, design and implementation, validation, and evolution activities. It can be modeled using plan-driven approaches like the waterfall model or agile approaches. The waterfall model involves separate sequential phases while incremental development interleaves activities. Reuse-oriented processes focus on assembling systems from existing components. Real processes combine elements of different models. Specification defines system requirements through requirements engineering. Design translates requirements into a software structure and implementation creates an executable program. Validation verifies the system meets requirements through testing. Evolution maintains and changes the system in response to changing needs.
Describes the basic activities of software engineering - specification, design and implementation, validation and evolution.
Accompanies video:
https://www.youtube.com/watch?v=Z2no7DxDWRI
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
The document provides an overview of the Capability Maturity Model Integration (CMMI) framework. CMMI is an industry standard for improving product quality and development processes. It consists of best practices for systems engineering, software engineering, integrated product and process development, and supplier sourcing. CMMI models an organization's processes at five maturity levels from initial to optimizing. Higher levels indicate more disciplined, defined, and quantitatively managed processes. The document outlines the CMMI components and structure, describes each maturity level and associated process areas, and discusses tips for successful CMMI implementation.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
This document discusses fault tolerance in computing systems. It defines fault tolerance as building systems that can continue operating satisfactorily even in the presence of faults. It describes different types of faults like transient, intermittent, and permanent hardware faults. It also discusses concepts like errors, failures, fault taxonomy, attributes of fault tolerance like availability and reliability. It explains various techniques used for fault tolerance like error detection, system recovery, fault masking, and redundancy.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
The document discusses the evolution of software economics and cost estimation models over three generations:
1) Conventional (1960s-1970s) used custom tools/processes and languages with underachieved goals
2) Transition (1980s-1990s) used more repeatable processes/tools and higher languages with some commercial products
3) Modern practices (2000-present) use managed processes, integrated environments and mostly commercial products.
It also examines debates on cost estimation, noting COCOMO is well-documented but data is inconsistent. A good estimate is based on a credible model, relevant experience, and well-defined risks.
The document discusses several key challenges in software engineering (SE). It notes that SE approaches must address issues of scale, productivity, and quality. Regarding scale, it states that SE methods must be scalable for problems of different sizes, from small to very large, requiring both engineering and project management techniques to be formalized for large problems. Productivity is important to control costs and schedule, and SE aims to deliver high productivity. Quality is also a major goal, involving attributes like functionality, reliability, usability, efficiency and maintainability. Reliability is often seen as the main quality criterion and is approximated by measuring defects. Addressing these challenges of scale, productivity and quality drives the selection of SE approaches.
Prescriptive process models attempt to organize the software development life cycle by defining activities, their order, and relationships. Early models like code-and-fix lacked predictability and manageability. Newer models strive for structure and order to achieve coordination, while allowing for changes as feedback is received. However, relying solely on prescriptive models may be inappropriate in a world that demands flexibility and change.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
This document discusses improving software economics through reducing software size, improving development processes, using skilled personnel, and leveraging better development environments and tools. It outlines cost estimation formulas and trends in programming languages, object-oriented methods, reuse, and commercial components that can reduce software size. The document also describes improving processes at the meta, macro and micro levels and how this can improve predictability, schedules and quality.
This document discusses software metrics and measurement. It describes how measurement can be used throughout the software development process to assist with estimation, quality control, productivity assessment, and project control. It defines key terms like measures, metrics, and indicators and explains how they provide insight into the software process and product. The document also discusses using metrics to evaluate and improve the software process as well as track project status, risks, and quality. Finally, it covers different types of metrics like size-oriented, function-oriented, and quality metrics.
The document provides an overview of software cost estimation, outlining various methods used including algorithmic models like COCOMO, expert judgement, top-down and bottom-up approaches, and estimation by analogy. It discusses COCOMO in detail, including the original COCOMO 81 model and updated COCOMO II model, and emphasizes the importance of calibration for accurate estimates.
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
The document discusses verification and validation (V&V) in software engineering. It defines verification as ensuring a product is built correctly, and validation as ensuring the right product is built. V&V aims to discover defects and assess if a system is usable. Static and dynamic verification methods are covered, including inspections, testing, and automated analysis. The document outlines V&V goals, the debugging process, V-model development, test planning, and inspection techniques.
The document discusses software process models and characteristics. It describes the waterfall model as one of the first process development models, consisting of linear sequential phases from requirements to deployment with no feedback. The V-model is presented as a variation that uses unit and integration testing to verify design and acceptance testing to validate requirements. Key advantages of the waterfall model include its structure and management control, while disadvantages are the upfront requirements and lack of iterations. Prototyping is also briefly mentioned.
The document discusses five parameters for improving software economics: reducing complexity, improving processes, using skilled personnel, using better tools, and adjusting quality thresholds. It focuses on reducing size through components, reuse, languages, and modeling. Improving processes involves optimizing activities at the meta, macro, and micro levels. Using skilled personnel and effective teams is important. Automation through tools can improve productivity by 20-40%. Achieving quality involves requirements management, architecture, configuration control, and testing.
The idea behind the concept of the system under test(SUT) is to test the system/application under various scenarios. Learn more about it with the following #infographic.
This document discusses software quality assurance. It defines software quality and describes two types - quality of design and quality of conformance. It discusses quality concepts at the organizational, project, and process levels. It also describes software reviews, their types and purposes. Software quality assurance aims to establish organizational procedures and standards to achieve high quality software. Key SQA activities include applying technical methods, reviews, testing, enforcing standards and measurement.
The software process involves specification, design and implementation, validation, and evolution activities. It can be modeled using plan-driven approaches like the waterfall model or agile approaches. The waterfall model involves separate sequential phases while incremental development interleaves activities. Reuse-oriented processes focus on assembling systems from existing components. Real processes combine elements of different models. Specification defines system requirements through requirements engineering. Design translates requirements into a software structure and implementation creates an executable program. Validation verifies the system meets requirements through testing. Evolution maintains and changes the system in response to changing needs.
Describes the basic activities of software engineering - specification, design and implementation, validation and evolution.
Accompanies video:
https://www.youtube.com/watch?v=Z2no7DxDWRI
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
The document provides an overview of the Capability Maturity Model Integration (CMMI) framework. CMMI is an industry standard for improving product quality and development processes. It consists of best practices for systems engineering, software engineering, integrated product and process development, and supplier sourcing. CMMI models an organization's processes at five maturity levels from initial to optimizing. Higher levels indicate more disciplined, defined, and quantitatively managed processes. The document outlines the CMMI components and structure, describes each maturity level and associated process areas, and discusses tips for successful CMMI implementation.
The document discusses compilers and their role in translating high-level programming languages into machine-readable code. It notes that compilers perform several key functions: lexical analysis, syntax analysis, generation of an intermediate representation, optimization of the intermediate code, and finally generation of assembly or machine code. The compiler allows programmers to write code in a high-level language that is easier for humans while still producing efficient low-level code that computers can execute.
This document discusses fault tolerance in computing systems. It defines fault tolerance as building systems that can continue operating satisfactorily even in the presence of faults. It describes different types of faults like transient, intermittent, and permanent hardware faults. It also discusses concepts like errors, failures, fault taxonomy, attributes of fault tolerance like availability and reliability. It explains various techniques used for fault tolerance like error detection, system recovery, fault masking, and redundancy.
This document discusses several software cost estimation techniques:
1. Top-down and bottom-up approaches - Top-down estimates system-level costs while bottom-up estimates costs of each module and combines them.
2. Expert judgment - Widely used technique where experts estimate costs based on past similar projects. It utilizes experience but can be biased.
3. Delphi estimation - Estimators anonymously provide estimates in rounds to reach consensus without group dynamics influencing individuals.
4. Work breakdown structure - Hierarchical breakdown of either the product components or work activities to aid bottom-up estimation.
The document discusses the evolution of software economics and cost estimation models over three generations:
1) Conventional (1960s-1970s) used custom tools/processes and languages with underachieved goals
2) Transition (1980s-1990s) used more repeatable processes/tools and higher languages with some commercial products
3) Modern practices (2000-present) use managed processes, integrated environments and mostly commercial products.
It also examines debates on cost estimation, noting COCOMO is well-documented but data is inconsistent. A good estimate is based on a credible model, relevant experience, and well-defined risks.
The document discusses several key challenges in software engineering (SE). It notes that SE approaches must address issues of scale, productivity, and quality. Regarding scale, it states that SE methods must be scalable for problems of different sizes, from small to very large, requiring both engineering and project management techniques to be formalized for large problems. Productivity is important to control costs and schedule, and SE aims to deliver high productivity. Quality is also a major goal, involving attributes like functionality, reliability, usability, efficiency and maintainability. Reliability is often seen as the main quality criterion and is approximated by measuring defects. Addressing these challenges of scale, productivity and quality drives the selection of SE approaches.
Prescriptive process models attempt to organize the software development life cycle by defining activities, their order, and relationships. Early models like code-and-fix lacked predictability and manageability. Newer models strive for structure and order to achieve coordination, while allowing for changes as feedback is received. However, relying solely on prescriptive models may be inappropriate in a world that demands flexibility and change.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
This document discusses improving software economics through reducing software size, improving development processes, using skilled personnel, and leveraging better development environments and tools. It outlines cost estimation formulas and trends in programming languages, object-oriented methods, reuse, and commercial components that can reduce software size. The document also describes improving processes at the meta, macro and micro levels and how this can improve predictability, schedules and quality.
This document discusses software metrics and measurement. It describes how measurement can be used throughout the software development process to assist with estimation, quality control, productivity assessment, and project control. It defines key terms like measures, metrics, and indicators and explains how they provide insight into the software process and product. The document also discusses using metrics to evaluate and improve the software process as well as track project status, risks, and quality. Finally, it covers different types of metrics like size-oriented, function-oriented, and quality metrics.
The document provides an overview of software cost estimation, outlining various methods used including algorithmic models like COCOMO, expert judgement, top-down and bottom-up approaches, and estimation by analogy. It discusses COCOMO in detail, including the original COCOMO 81 model and updated COCOMO II model, and emphasizes the importance of calibration for accurate estimates.
What is Quality ||
Software Quality Metrics ||
Types of Software Quality Metrics ||
Three groups of Software Quality Metrics ||
Customer Satisfaction Metrics ||
Tools used for Quality Metrics/Measurements ||
PERT and CPM ||
The document discusses verification and validation (V&V) in software engineering. It defines verification as ensuring a product is built correctly, and validation as ensuring the right product is built. V&V aims to discover defects and assess if a system is usable. Static and dynamic verification methods are covered, including inspections, testing, and automated analysis. The document outlines V&V goals, the debugging process, V-model development, test planning, and inspection techniques.
The document discusses software process models and characteristics. It describes the waterfall model as one of the first process development models, consisting of linear sequential phases from requirements to deployment with no feedback. The V-model is presented as a variation that uses unit and integration testing to verify design and acceptance testing to validate requirements. Key advantages of the waterfall model include its structure and management control, while disadvantages are the upfront requirements and lack of iterations. Prototyping is also briefly mentioned.
The document discusses five parameters for improving software economics: reducing complexity, improving processes, using skilled personnel, using better tools, and adjusting quality thresholds. It focuses on reducing size through components, reuse, languages, and modeling. Improving processes involves optimizing activities at the meta, macro, and micro levels. Using skilled personnel and effective teams is important. Automation through tools can improve productivity by 20-40%. Achieving quality involves requirements management, architecture, configuration control, and testing.
The idea behind the concept of the system under test(SUT) is to test the system/application under various scenarios. Learn more about it with the following #infographic.
A Detailed Comparison of Testing and Debugging: Professional QA
Testing and debugging are the two most essential parts of STLC that are used to detect bugs in the software. Learn more about them with the following #infographic.
API Testing is an important test that is simply concerned with the final output of the system under test. Whereas, Unit testing aims to verify whether the module delivers the required functionality or not.
Test log is one of the crucial test artifacts prepared during the process of testing. Learn more about it with the assistance of following infographic.
An important test process, from the perspective of the end-user, backward compatibility testing ensures whether a new version of a product is compatible with an older version.
A test approach is a documented artifact defines a particular way or method to carry out the testing process, which may be seen in the test plans and designs. Learn more about it with the assistance of following infographic
Test Procedure/Script Specification is a document that defines the various types of testing techniques used by software testers to ensure the quality and efficiency of the software. As one of the reports prepared after the completion of software testing, the significance of this document is immense
Exhaustive Testing is a test approach in which all possible data combinations that are used for testing. It verifies the ability of the software to work in extreme conditions
Enhance the process of White Box Testing with the following #infographic and secure the web applications. Various white box testing tools are available in the market like:
CppUnit,CppTest,JUnit,JsUnit
With the assistance of following #infographic, Learn how Peer Testing can gain a better insight into a subject matter when one delves into the task performed by another.
User Acceptance Testing (UAT) is a type of software testing technique, which is executed by the team to test the software in the real world like condition.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, 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 – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.