DZone

MAY 3, 2019

With the introduction of the agile methodology and transformation into the digital world, the software development lifecycle is changing rapidly and increasing the need for better software testing capabilities. In 2019, we are expecting a lot of new changes in the web and this further poses a challenge in the testing cycle.

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Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Government.

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Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. Shifting left is an approach that includes software quality, performance, and security testing as a part of the SDLC.

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Dynatrace

OCTOBER 4, 2023

“Fostering resilience is not only critical to business performance and transformation, but also ensuring organizations can adapt to virtually any situation,” wrote Vishal Gupta in “ Four ways to build a more resilient and future-proof business ,” in Fortune.

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TechBeacon Testing

MAY 11, 2021

If you've attended a webinar on artificial intelligence (AI) and machine learning (ML) lately, you've likely heard that they are sweeping the globe, and perhaps you've heard that we'll be able to simply point software at a website, click "go," and get performance test results, all thanks to the magic of AI.

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Dynatrace

JANUARY 13, 2022

At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices. Highlighting DevOps automation at Perform 2022. Register for Perform 2022 today , and check out our DevOps track.

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QAMentor

JULY 8, 2019

Many testers often wonder whether AI (Artificial intelligence) will threaten their existence in the future. In this post, we’ve tried to find out will AI be … The post Will AI Perform Testing? appeared first on QA Mentor Blog.

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Alex Podelko

DECEMBER 19, 2019

ITIL Version 4 Capacity and Performance Management in an Agile Container World by Chris Molloy, IBM. – System performance management is an important topic – and James is going to share a practical method for it. . – System performance management is an important topic – and James is going to share a practical method for it.

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Dynatrace

APRIL 21, 2023

The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. By detecting errors and bugs before they’re deployed to production, we save money on development and testing and better serve the citizens of our state.” Dynatrace truly helps us do more with less.

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Dynatrace

NOVEMBER 2, 2022

Today, software development teams are responsible for delivering applications that are secure, high performing and user-friendly. With modern observability, IT teams gain insight into infrastructure and application performance and can quickly identify the root cause of problems. Autonomous testing. Chaos engineering.

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Dynatrace

FEBRUARY 10, 2022

The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC. Connect to JFrog Pipelines , Atlassian Bitbucket , GitLab , or Azure DevOps to automatically deploy applications into various stages, from staging and testing to production.

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Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. The technology lets people learn about solutions by typing questions into a search bar, such as, “How do I import and export test cases between my environments?”

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Abhishek Tiwari

JULY 8, 2023

Traditional testing and monitoring practices have long been relied upon to achieve this goal. However, the line between testing and monitoring is becoming increasingly blurred with the emergence of synthetic monitoring. Synthetic Monitoring employs software-based agents to actively measure performance metrics.

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Testsigma

MAY 15, 2021

As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being. Soon, when the software was big and hefty, manual testing became a hectic and time-consuming job too.

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Testing Tools Artificial Intelligence Testing Programming 52

Dynatrace

JULY 6, 2022

Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it.

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Dynatrace

NOVEMBER 5, 2019

Application Insights – Collects performance metrics of the application code. Our DEM offering also includes: Synthetics – Run browser-based workflow tests from multiple geographic locations for scoring availability of your applications before end-users experience issues. Log Agent Installation – Collects logs from the virtual machines.

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Azure Artificial Intelligence Metrics Innovation 135

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

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Artificial Intelligence Monitoring Infrastructure Cloud 227

Dynatrace

NOVEMBER 1, 2022

This measurement includes time spent testing until the service is fully functional again. This includes time your team spends investigating, repairing, and testing. MTTD is a primary key performance indicator for IT and DevOps teams. The Dynatrace Software Intelligence platform monitors the full multicloud stack.

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DevOps Artificial Intelligence Metrics Network 202

Testsigma

DECEMBER 21, 2020

Software Testing being a major part of software development also needs more efficiency. As regression testing is one of the most time-taking and repetitive activities where software testing is concerned – automating regression testing ensures a better-quality software at a lower cost and timely release.

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Testing Artificial Intelligence Testing Tools Efficiency 52

DZone

NOVEMBER 2, 2020

Remember when test automation was being peddled as a silver bullet for testing bugbears? Of course, those vendors really meant test execution automation. Automating test execution was going to increase coverage, minimize testing time, and overall reduce the amount of money being spent on testing.

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Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

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O'Reilly

FEBRUARY 15, 2022

But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. Dilsey endured. Benjy was castrated. Humanists are not.

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Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

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AWS Cloud Artificial Intelligence Innovation 142

Testsigma

JULY 13, 2021

In this article, we will focus on what NLP is all about and how it is useful for Smart Test Automation. Natural Language Processing (NLP) refers to a branch of Computer Science, or in more simple words, let us say it refers to a branch of Artificial Intelligence (AI). Smart Test Automation. What is NLP?

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Testing Artificial Intelligence Processing Programming 52

O'Reilly

MARCH 26, 2024

To me, the analogy breaks down before it begins: firstly, LLMs don’t merely blur, but perform highly non-linear transformations, which means you can’t just squint and get a sense of the original; secondly, for the photocopier, the error is a bug, whereas, for LLMs, all errors are features.

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Artificial Intelligence Social Media Google Internet 112

Dotcom-Montior

JUNE 15, 2020

The limited number access points, compounded with the fact that traffic is controlled by the Ministry of Industry and Information Technology, creates performance bottlenecks for all users in China when trying to access websites from inside and outside of the country. Final Thoughts: Monitoring Performance from the Great Firewall of China.

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Monitoring Performance Artificial Intelligence Internet 52

Testsigma

SEPTEMBER 21, 2019

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. Why does Software Testing industry Need AI? No more flaky tests! What is AI?

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Software Software Testing Artificial Intelligence 51

O'Reilly

DECEMBER 12, 2023

What should copyright law mean in the age of artificial intelligence? I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else. Copyright law says nothing about whether texts are acquired legally or illegally. How do we make sense of this?

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Dynatrace

DECEMBER 16, 2019

Perhaps the most common examples lie in the pharmaceutical world; drugs are sometimes tested and approved based on statistically meaningful outcomes on patients, even though nobody knows how they work. “We Intellectual debt can be defined as “ the gap between what works and our knowledge of why it works”. We have an answer; it seems to work.

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Tech News Gather

JULY 18, 2023

Considering the usability, today, healthcare apps are also used for self-screening for symptoms, tracking their exposure, and getting tested or vaccinated if needed. Not just among developers but also clients, Laravel has immense popularity because it simplifies complex tasks like authenticating, routing, caching, and testing content.

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Healthcare Social Media Development Artificial Intelligence 52

Dynatrace

MAY 4, 2023

Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. Intelligent automation can help break down these silos. Watch the full session, Break down DevSecOps silos with intelligent automation.

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DevOps Speed Innovation Open Source 206

Kovair

AUGUST 6, 2019

Something new comes up which improves the overall performance of a software. The post How to Use AI for Software Testing appeared first on Kovair Blog. Technology is ever-changing and evolving with every passing day. A lot of improvements.

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Software Software Testing Technology 58

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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O'Reilly

MARCH 14, 2023

ChatGPT gave me a bunch of Python code that implemented the Miller-Rabin primality test, and said that my number was divisible by 29. It was a brute-force primality test that tried each integer (both odd and even!) smaller than the square root of the number under test. Neither elegant nor performant, but correct.

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Programming Code Testing Artificial Intelligence 107

Testsigma

JANUARY 7, 2022

2014 saw the trend of mobile app testing as they were becoming a multi-billion dollar business all over the world. 2015 saw the trend of scriptless testing and IoT focussed methodologies. So the trend of mobile web testing came into the picture. AI and Machine learning-based testing.

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Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

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Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

OCTOBER 2, 2023

However, it’s common that teams need to refactor an application to help with performance after the lift-and-shift operation. Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Migration is time-consuming and involved.

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