Enviar búsqueda
Cargar
Gathering SW Indicators
•
Descargar como PPT, PDF
•
1 recomendación
•
370 vistas
Kiril Serebnik
Seguir
What SW indicators may be gathered from CM & Bug tracking tools
Leer menos
Leer más
Tecnología
Denunciar
Compartir
Denunciar
Compartir
1 de 29
Descargar ahora
Recomendados
The quality of the code is checked before deploying the software, the quality of the software will be assured.
Measuring the Code Quality Using Software Metrics
Measuring the Code Quality Using Software Metrics
Geetha Anjali
Higher Computing Science Testing
SD & D Testing
SD & D Testing
Forrester High School
4. The Software Development Process - Testing
4. The Software Development Process - Testing
Forrester High School
Higher Computing Science Analysis
SD & D analysis
SD & D analysis
Forrester High School
Reporting On The Testing Process
Reporting On The Testing Process
gavhays
The Software Development Process - Analysis Higher / Int 2 Notes
1. The Software Development Process - Analysis
1. The Software Development Process - Analysis
Forrester High School
Software fault management
Software fault management
Rick Karcich, PE
Moodle is a very flexible application with a large number of variables and roles. Testing upgrades and changes can be a challenge. This presentation should help attendees focus testing at their own workplace.
But Did You Test It
But Did You Test It
Ruth Blakely
Recomendados
The quality of the code is checked before deploying the software, the quality of the software will be assured.
Measuring the Code Quality Using Software Metrics
Measuring the Code Quality Using Software Metrics
Geetha Anjali
Higher Computing Science Testing
SD & D Testing
SD & D Testing
Forrester High School
4. The Software Development Process - Testing
4. The Software Development Process - Testing
Forrester High School
Higher Computing Science Analysis
SD & D analysis
SD & D analysis
Forrester High School
Reporting On The Testing Process
Reporting On The Testing Process
gavhays
The Software Development Process - Analysis Higher / Int 2 Notes
1. The Software Development Process - Analysis
1. The Software Development Process - Analysis
Forrester High School
Software fault management
Software fault management
Rick Karcich, PE
Moodle is a very flexible application with a large number of variables and roles. Testing upgrades and changes can be a challenge. This presentation should help attendees focus testing at their own workplace.
But Did You Test It
But Did You Test It
Ruth Blakely
We deal with the impact of applying DevOps practices (infrastructure as code, continuous integration, release and deployment on demand) in the development of embedded projects spanning the full spectrum of mechanics, electronics and software. Incorporating devops concepts within the regular test flow enables collaboration between engineers of all three disciplines with very fast feedback cycles. Software is in a position to provide tools and data to electronics/mechanics to verify design decisions while moving forward with the implementation. Deliverables are provided at any point in time of the development presenting a constant stream of functioning prototypes from the beginning of development while providing an almost seamless transition from 3D printed proof-of-concept using evaluation boards to integrated device. In the talk we present the basic DevOps principles and concepts and how they map to established procedures like EOL Tests, affect production considerations and ease hardware-software integration.
Embedded Testing 2015
Embedded Testing 2015
Vassilis Rizopoulos
MoDeVVA @ MODELS 2009, Denver. 10/5/2009. What are the dangers of using the same model to both generate a system and the test suite for that system.
MDD and the Tautology Problem: Discussion Notes.
MDD and the Tautology Problem: Discussion Notes.
Bob Binder
Testing is a key element of software development processes for the management and assessment of product quality. In most development environments, the software engineers are responsible for ensuring the functional correctness of code. However, for large complex software products, there is an additional need to check that changes do not negatively impact other parts of the software and they comply with system constraints such as backward compatibility, performance, security etc. Ensuring these system constraints may require complex verification infrastructure and test procedures. Although such tests are time consuming and expensive and rarely find defects they act as an insurance process to ensure the software is compliant. However, long lasting tests increasingly conflict with strategic aims to shorten release cycles. To decrease production costs and to improve development agility, we created a generic test selection strategy called THEO that accelerates test processes without sacrificing product quality. THEO is based on a cost model, which dynamically skips tests when the expected cost of running the test exceeds the expected cost of removing it. We replayed past development periods of three major Microsoft products resulting in a reduction of 50% of test executions, saving millions of dollars per year, while maintaining product quality.
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
Kim Herzig
Achieving optimum test and requirement coverage is critical for delivering high quality applications to the marketplace. Coverage can be very useful in determining the extent to which code and requirement has been tested. However, at the same time, a high coverage result (something in high 80s or 90s) cannot be taken as a measure of effective testing or an indicator of testers achieving perfection. Leveraging processes and tools that help determine sufficient coverage metrics, account for risk, trim costs incurred from unnecessary tests is therefore important. In this webinar, Nikhil Kaul, Product Manager, joins Engineer, Rick Almeida, to discuss how to balance the trade-off between achieving high test coverage and testing code and requirements that matter. In this session, we will cover: What coverage metrics to use and what percentages to aim for? - How coverage metrics can be misused? - How to use requirement and code coverage well? - What metrics won’t tell you? - Establish the connection between requirement and test coverage.
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
SmartBear
Testing Software Solutions
Testing Software Solutions
gavhays
The Software Development Process - Design Higher / Int 2 Notes
2. The Software Development Process - Design
2. The Software Development Process - Design
Forrester High School
Introduction and Role of a manual testing in a SDLC
Introduction and Role of a manual testing in a SDLC
minimini22
All you need to know about Regression testing| David Tzemach 1. Overview 2. What is “Regression” testing…? 3. When should you use it..? 4. How to implement..? 5. Test Recommendations 6. Considerations when building Regression tests
All you need to know about regression testing | David Tzemach
All you need to know about regression testing | David Tzemach
David Tzemach
Regression testing
Regression testing
mushfiqangshu
Regression and performance testing
Regression and performance testing
Regression and performance testing
Himanshu
Software testing fundamentals
Software testing fundamentals
Mona M. Abd El-Rahman
Language workbenches support the efficient creation, integration, and use of domain-specific languages. Typically, they execute models by code generation to programming language code. This can lead to increased productivity and higher quality. However, in safety-/mission-critical environments, generated code may not be considered trustworthy, because of the lack of trust in the generation mechanisms. This makes it harder to justify the use of language workbenches in such an environment. In this paper, we demonstrate an approach to use such tools in critical environments. We argue that models created with domain-specific languages are easier to validate and that the additional risk resulting from the transformation to code can be mitigated by a suitably designed transformation and verification architecture. We validate the approach with an industrial case study from the healthcare domain. We also discuss the degree to which the approach is appropriate for critical software in space, automotive, and robotics systems.
Using language workbenches and domain-specific languages for safety-critical ...
Using language workbenches and domain-specific languages for safety-critical ...
Markus Voelter
Understand regression testing
Understand regression testing
gaoliang641
Chapter 1 Intorduction To software Testing BBA[CA ]
Software Testing
Software Testing
Prof .Pragati Khade
Automated visual-regression-testing (1)
Automated visual-regression-testing (1)
Automated visual-regression-testing (1)
Sriram Angajala
Software Testing By Shahram Foroozan
Software Testing Concepts
Software Testing Concepts
Shahram Foroozan
Applying code changes to software systems and testing these code changes can be a complex task that involves many different types of software testing strategies, e.g. system and integration tests. However, not all test failures reported during code integration are hinting towards code defects. Testing large systems such as the Microsoft Windows operating system requires complex test infrastructures, which may lead to test failures caused by faulty tests and test infrastructure issues. Such false test alarms are particular annoying as they raise engineer attention and require manual inspection without providing any benefit. The goal of this work is to use empirical data to minimize the number of false test alarms reported during system and integration testing. To achieve this goal, we use association rule learning to identify patterns among failing test steps that are typically for false test alarms and can be used to automatically classify them. A successful classification of false test alarms is particularly valuable for the product teams as manual test failure inspection is an expensive and time-consuming process that not only costs engineering time and money but also slows down product development. We evaluating our approach on system and integration tests executed during Windows 8.1 and Microsoft Dynamics AX development. Performing more than 10,000 classifications for each product, our model shows a mean precision between 0.85 and 0.90 predicting between 34% and 48% of all false test alarms.
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Kim Herzig
Performance testing and j meter overview
Performance testing and j meter overview
krishna chaitanya
Case study and guidelines for performance testing microservices. The talk focuses on clarifying the goals of performance testing, suggestions on tools that will help get started and common pitfalls. Originally presented at Reactive Summit 2018.
Reactive Performance Testing
Reactive Performance Testing
Lilit Yenokyan
If you have any question in your mind then you can email me on my gmail account mrali16741@gmail.com
Software Testing Strategies ,Validation Testing and System Testing.
Software Testing Strategies ,Validation Testing and System Testing.
Tanzeem Aslam
Software Maintenance Richard Fairley Book PPT
Software maintenance
Software maintenance
NancyBeaulah_R
Software Engineering
Chapter 11 Metrics for process and projects.ppt
Chapter 11 Metrics for process and projects.ppt
ssuser3f82c9
Más contenido relacionado
La actualidad más candente
We deal with the impact of applying DevOps practices (infrastructure as code, continuous integration, release and deployment on demand) in the development of embedded projects spanning the full spectrum of mechanics, electronics and software. Incorporating devops concepts within the regular test flow enables collaboration between engineers of all three disciplines with very fast feedback cycles. Software is in a position to provide tools and data to electronics/mechanics to verify design decisions while moving forward with the implementation. Deliverables are provided at any point in time of the development presenting a constant stream of functioning prototypes from the beginning of development while providing an almost seamless transition from 3D printed proof-of-concept using evaluation boards to integrated device. In the talk we present the basic DevOps principles and concepts and how they map to established procedures like EOL Tests, affect production considerations and ease hardware-software integration.
Embedded Testing 2015
Embedded Testing 2015
Vassilis Rizopoulos
MoDeVVA @ MODELS 2009, Denver. 10/5/2009. What are the dangers of using the same model to both generate a system and the test suite for that system.
MDD and the Tautology Problem: Discussion Notes.
MDD and the Tautology Problem: Discussion Notes.
Bob Binder
Testing is a key element of software development processes for the management and assessment of product quality. In most development environments, the software engineers are responsible for ensuring the functional correctness of code. However, for large complex software products, there is an additional need to check that changes do not negatively impact other parts of the software and they comply with system constraints such as backward compatibility, performance, security etc. Ensuring these system constraints may require complex verification infrastructure and test procedures. Although such tests are time consuming and expensive and rarely find defects they act as an insurance process to ensure the software is compliant. However, long lasting tests increasingly conflict with strategic aims to shorten release cycles. To decrease production costs and to improve development agility, we created a generic test selection strategy called THEO that accelerates test processes without sacrificing product quality. THEO is based on a cost model, which dynamically skips tests when the expected cost of running the test exceeds the expected cost of removing it. We replayed past development periods of three major Microsoft products resulting in a reduction of 50% of test executions, saving millions of dollars per year, while maintaining product quality.
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
Kim Herzig
Achieving optimum test and requirement coverage is critical for delivering high quality applications to the marketplace. Coverage can be very useful in determining the extent to which code and requirement has been tested. However, at the same time, a high coverage result (something in high 80s or 90s) cannot be taken as a measure of effective testing or an indicator of testers achieving perfection. Leveraging processes and tools that help determine sufficient coverage metrics, account for risk, trim costs incurred from unnecessary tests is therefore important. In this webinar, Nikhil Kaul, Product Manager, joins Engineer, Rick Almeida, to discuss how to balance the trade-off between achieving high test coverage and testing code and requirements that matter. In this session, we will cover: What coverage metrics to use and what percentages to aim for? - How coverage metrics can be misused? - How to use requirement and code coverage well? - What metrics won’t tell you? - Establish the connection between requirement and test coverage.
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
SmartBear
Testing Software Solutions
Testing Software Solutions
gavhays
The Software Development Process - Design Higher / Int 2 Notes
2. The Software Development Process - Design
2. The Software Development Process - Design
Forrester High School
Introduction and Role of a manual testing in a SDLC
Introduction and Role of a manual testing in a SDLC
minimini22
All you need to know about Regression testing| David Tzemach 1. Overview 2. What is “Regression” testing…? 3. When should you use it..? 4. How to implement..? 5. Test Recommendations 6. Considerations when building Regression tests
All you need to know about regression testing | David Tzemach
All you need to know about regression testing | David Tzemach
David Tzemach
Regression testing
Regression testing
mushfiqangshu
Regression and performance testing
Regression and performance testing
Regression and performance testing
Himanshu
Software testing fundamentals
Software testing fundamentals
Mona M. Abd El-Rahman
Language workbenches support the efficient creation, integration, and use of domain-specific languages. Typically, they execute models by code generation to programming language code. This can lead to increased productivity and higher quality. However, in safety-/mission-critical environments, generated code may not be considered trustworthy, because of the lack of trust in the generation mechanisms. This makes it harder to justify the use of language workbenches in such an environment. In this paper, we demonstrate an approach to use such tools in critical environments. We argue that models created with domain-specific languages are easier to validate and that the additional risk resulting from the transformation to code can be mitigated by a suitably designed transformation and verification architecture. We validate the approach with an industrial case study from the healthcare domain. We also discuss the degree to which the approach is appropriate for critical software in space, automotive, and robotics systems.
Using language workbenches and domain-specific languages for safety-critical ...
Using language workbenches and domain-specific languages for safety-critical ...
Markus Voelter
Understand regression testing
Understand regression testing
gaoliang641
Chapter 1 Intorduction To software Testing BBA[CA ]
Software Testing
Software Testing
Prof .Pragati Khade
Automated visual-regression-testing (1)
Automated visual-regression-testing (1)
Automated visual-regression-testing (1)
Sriram Angajala
Software Testing By Shahram Foroozan
Software Testing Concepts
Software Testing Concepts
Shahram Foroozan
Applying code changes to software systems and testing these code changes can be a complex task that involves many different types of software testing strategies, e.g. system and integration tests. However, not all test failures reported during code integration are hinting towards code defects. Testing large systems such as the Microsoft Windows operating system requires complex test infrastructures, which may lead to test failures caused by faulty tests and test infrastructure issues. Such false test alarms are particular annoying as they raise engineer attention and require manual inspection without providing any benefit. The goal of this work is to use empirical data to minimize the number of false test alarms reported during system and integration testing. To achieve this goal, we use association rule learning to identify patterns among failing test steps that are typically for false test alarms and can be used to automatically classify them. A successful classification of false test alarms is particularly valuable for the product teams as manual test failure inspection is an expensive and time-consuming process that not only costs engineering time and money but also slows down product development. We evaluating our approach on system and integration tests executed during Windows 8.1 and Microsoft Dynamics AX development. Performing more than 10,000 classifications for each product, our model shows a mean precision between 0.85 and 0.90 predicting between 34% and 48% of all false test alarms.
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Kim Herzig
Performance testing and j meter overview
Performance testing and j meter overview
krishna chaitanya
Case study and guidelines for performance testing microservices. The talk focuses on clarifying the goals of performance testing, suggestions on tools that will help get started and common pitfalls. Originally presented at Reactive Summit 2018.
Reactive Performance Testing
Reactive Performance Testing
Lilit Yenokyan
If you have any question in your mind then you can email me on my gmail account mrali16741@gmail.com
Software Testing Strategies ,Validation Testing and System Testing.
Software Testing Strategies ,Validation Testing and System Testing.
Tanzeem Aslam
La actualidad más candente
(20)
Embedded Testing 2015
Embedded Testing 2015
MDD and the Tautology Problem: Discussion Notes.
MDD and the Tautology Problem: Discussion Notes.
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
The Art of Testing Less without Sacrificing Quality @ ICSE 2015
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
Test Smarter: Efficient Coverage Metrics That Won't Leave You Exposed
Testing Software Solutions
Testing Software Solutions
2. The Software Development Process - Design
2. The Software Development Process - Design
Introduction and Role of a manual testing in a SDLC
Introduction and Role of a manual testing in a SDLC
All you need to know about regression testing | David Tzemach
All you need to know about regression testing | David Tzemach
Regression testing
Regression testing
Regression and performance testing
Regression and performance testing
Software testing fundamentals
Software testing fundamentals
Using language workbenches and domain-specific languages for safety-critical ...
Using language workbenches and domain-specific languages for safety-critical ...
Understand regression testing
Understand regression testing
Software Testing
Software Testing
Automated visual-regression-testing (1)
Automated visual-regression-testing (1)
Software Testing Concepts
Software Testing Concepts
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Empirically Detecting False Test Alarms Using Association Rules @ ICSE 2015
Performance testing and j meter overview
Performance testing and j meter overview
Reactive Performance Testing
Reactive Performance Testing
Software Testing Strategies ,Validation Testing and System Testing.
Software Testing Strategies ,Validation Testing and System Testing.
Similar a Gathering SW Indicators
Software Maintenance Richard Fairley Book PPT
Software maintenance
Software maintenance
NancyBeaulah_R
Software Engineering
Chapter 11 Metrics for process and projects.ppt
Chapter 11 Metrics for process and projects.ppt
ssuser3f82c9
Appearance of 64-bit processors on PC market made developers face the task of converting old 32-bit applications for new platforms. After the migration of the application code it is highly probable that the code will work incorrectly. This article reviews questions related to software verification and testing. It also concerns difficulties a developer of 64-bit Windows application may face and the ways of solving them.
Traps detection during migration of C and C++ code to 64-bit Windows
Traps detection during migration of C and C++ code to 64-bit Windows
PVS-Studio
Metrics serve as important indicator of the efficiency and effectiveness of software process. Analysis of defined metrics helps identify area of improvement and devise subsequent actions.......Read more
Importance of software quality metrics
Importance of software quality metrics
Piyush Sohaney
function Point
SE-Lecture-7.pptx
SE-Lecture-7.pptx
vishal choudhary
Manualtestingppt
Manualtestingppt
balaji naidu
Introduction & Manual Testing
Introduction & Manual Testing
VenkateswaraRao Siddabathula
Sw quality metrics
Sw quality metrics
Sruthi Balaji
Software reliability & quality
Software reliability & quality
Nur Islam
Mi0033 software engineering
Mi0033 software engineering
smumbahelp
Software Cost Estimation in Software Engineering SE23
Software Cost Estimation in Software Engineering SE23
koolkampus
Metrics for Process,Project and product
Software engineering
Software engineering
sakthibalabalamuruga
The article observes some questions related to testing the 64-bit software. Some difficulties which a developer of resource-intensive 64-bit applications may face and the ways to overcome them are described.
Problems of testing 64-bit applications
Problems of testing 64-bit applications
PVS-Studio
After read these slides you easily understand about Software Process Models
Software Process Models
Software Process Models
Hassan A-j
Describes a model to analyze software systems and determine areas of risk. Discusses limitations of typical test design methods and provides an example of how to use the model to create high volume automated testing framework.
Software Risk Analysis
Software Risk Analysis
Brett Leonard
Software reliability engineering
Software reliability engineering
Mark Turner CRP
Metrics for process and projects.
Lecture3
Lecture3
soloeng
Software Metrics
Software Metrics
swatisinghal
Software
55 sample chapter
55 sample chapter
Poonam Sharma
Software metrics
55 sample chapter
55 sample chapter
Poonam Sharma
Similar a Gathering SW Indicators
(20)
Software maintenance
Software maintenance
Chapter 11 Metrics for process and projects.ppt
Chapter 11 Metrics for process and projects.ppt
Traps detection during migration of C and C++ code to 64-bit Windows
Traps detection during migration of C and C++ code to 64-bit Windows
Importance of software quality metrics
Importance of software quality metrics
SE-Lecture-7.pptx
SE-Lecture-7.pptx
Manualtestingppt
Manualtestingppt
Introduction & Manual Testing
Introduction & Manual Testing
Sw quality metrics
Sw quality metrics
Software reliability & quality
Software reliability & quality
Mi0033 software engineering
Mi0033 software engineering
Software Cost Estimation in Software Engineering SE23
Software Cost Estimation in Software Engineering SE23
Software engineering
Software engineering
Problems of testing 64-bit applications
Problems of testing 64-bit applications
Software Process Models
Software Process Models
Software Risk Analysis
Software Risk Analysis
Software reliability engineering
Software reliability engineering
Lecture3
Lecture3
Software Metrics
Software Metrics
55 sample chapter
55 sample chapter
55 sample chapter
55 sample chapter
Último
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
Workshop Build With AI - Google Developers Group Rio Verde
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
💥 You’re lucky! We’ve found two different (lead) developers that are willing to share their valuable lessons learned about using UiPath Document Understanding! Based on recent implementations in appealing use cases at Partou and SPIE. Don’t expect fancy videos or slide decks, but real and practical experiences that will help you with your own implementations. 📕 Topics that will be addressed: • Training the ML-model by humans: do or don't? • Rule-based versus AI extractors • Tips for finding use cases • How to start 👨🏫👨💻 Speakers: o Dion Morskieft, RPA Product Owner @Partou o Jack Klein-Schiphorst, Automation Developer @Tacstone Technology
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Orbitshub
The CNIC Information System is a comprehensive database managed by the National Database and Registration Authority (NADRA) of Pakistan. It serves as the primary source of identification for Pakistani citizens and residents, containing vital information such as name, date of birth, address, and biometric data.
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
danishmna97
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
The action of the next cyber saga takes place in the mystical lands of the Asia-Pacific region, where the main characters began their digital activities in the middle of 2021 and qualitatively strengthened it in 2022. Corporate espionage, document theft, audio recordings, and data leaks from messaging platforms were all a matter of one day for Dark Pink. Their geographical focus may have started in the Asia-Pacific region, but their ambitions knew no bounds, targeting a European government ministry in a bold move to expand their portfolio. Their victim profile was as diverse as a UN meeting, targeting military organizations, government agencies, and even a religious organization. Because discrimination is not a fashionable agenda. In the world of cybercrime, they serve as a reminder that sometimes the most serious threats come in the most unassuming packages with a pink bow.
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
Overkill Security
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Presented by Mike Hicks
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Último
(20)
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Gathering SW Indicators
1.
Gathering SW Indicators
What SW indicators may be gathered from CM & Bug tracking tools by Kiril Serebnik
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
Development effort number
of lines delta number of closed changesets
25.
26.
27.
28.
29.
Descargar ahora