DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. One of the significant challenges that come with digital transformation is ensuring that software systems remain reliable and secure. This is where software testing comes in.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

QAMentor

MARCH 25, 2019

Artificial intelligence is currently being used in an array of sectors, from processing natural language to analyzing facial expressions, and more. However, it’s also important to understand that the capability of artificial intelligence is constantly evolving. It has become more of a buzzword in recent years.

Artificial Intelligence 45

Artificial Intelligence Software Software Testing 45

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 201

Software Software Artificial Intelligence DevOps 201

DZone

JUNE 28, 2021

In today’s highly competitive world, software development and automation play a significant role in creating robust software applications for businesses. Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises.

Programming 363

Programming Artificial Intelligence Blockchain Java 363

TechBeacon Testing

NOVEMBER 8, 2021

Applications that use artificial intelligence and machine learning techniques present unique challenges to testers. These systems are largely black boxes that use multiple algorithms—sometimes hundreds of them—to process data in a series of layers and return a result.

Artificial Intelligence 126

Artificial Intelligence Software Software Testing 126

Dynatrace

MAY 17, 2023

ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence. How does Artificial Intelligence Work?

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

DZone

APRIL 15, 2020

Recently, automated software testing has been widely identified as a game-changer for software projects. With artificial intelligence quickly gaining traction, total automation sounds like an inevitable reality. At the starting point, automated testing does require considerable investment.

Artificial Intelligence 170

Artificial Intelligence Testing Games Efficiency 170

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC).

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

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.

Artificial Intelligence 174

Artificial Intelligence Testing Virtualization Website 174

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software development. 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.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. The VAPO platform is used to develop, test, and deploy containerized application and middleware workloads that support 400,000 VA employees and 20 million veterans.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

TechBeacon Testing

MARCH 4, 2021

When it comes to artificial intelligence (AI) and machine learning (ML) in testing, much of the interest and innovation today revolves around the concept of using these technologies to improve and accelerate the practice of testing. In particular, how can you tell whether or not a response is correct?

Artificial Intelligence 100

Artificial Intelligence Testing Software Software 100

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

Dynatrace

JULY 31, 2023

Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. We believe integrating Rookout into the Dynatrace platform and leveraging the artificial intelligence and automation capabilities Dynatrace is known for will accelerate this mission.

Code 213

Code Artificial Intelligence Government Performance Testing 213

DZone

DECEMBER 18, 2020

While it is an established fact, one of the major concerns of developers is the quality of the software delivered in minimum time, at the lowest costs, and with maximum accuracy. While it may seem something too good to be true, the development of such software is not just the dream, it is the need. There is an ideal case scenario.

Speed 189

Speed Software Software Testing 189

TechBeacon Testing

JANUARY 14, 2020

Some may see testing as a fairly boring and static set of practices, but leaders in this space know it is a vibrant discipline that is constantly improving every year, thanks to exciting new techniques made possible by better automation tools and artificial intelligence. More than ever, software quality drives business growth.

Artificial Intelligence 87

Artificial Intelligence Software Software Testing 87

TechBeacon Testing

FEBRUARY 12, 2020

Your testing of software that includes artificial intelligence (AI) components will be more sophisticated and robust if you just think in human terms.

Artificial Intelligence 108

Artificial Intelligence Testing Software Software 108

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices.

DevOps 272

DevOps Speed Artificial Intelligence Innovation 272

DZone

DECEMBER 17, 2020

In this Quality Sense episode, Federico Toledo has a chat with Júlio de Lima , an engineer at Capco, who recently completed his master’s degree in Electrical Engineering and Computing (Artificial Intelligence) and also co-founded GaroaQA , a meetup group with four locations across Brazil and over 2,000 members. Episode Highlights.

Artificial Intelligence 100

Artificial Intelligence Performance Testing Testing Performance 100

Dynatrace

FEBRUARY 10, 2022

The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. Jira Software. New out-of-the-box integrations with ecosystem partners. Atlassian Bitbucket. ChaosNative.

Artificial Intelligence 233

Artificial Intelligence DevOps Azure Cloud 233

TechBeacon Testing

JANUARY 8, 2021

The last decade has seen a relentless push to deliver software faster. Automated testing has emerged as one of the most important technologies for scaling DevOps, companies are investing enormous time and effort to build end-to-end software delivery pipelines, and containers and their ecosystem are holding up on their early promise.

Software 142

Software Software Testing DevOps 142

DZone

MARCH 7, 2021

With the help of technologies such as Artificial Intelligence, the Internet of Things, Augmented and Virtual Reality , we are able to achieve more than what we could ever imagine. Gone are the days when we had apps only to play games on mobile devices. Importance of Omnichannel Communication and Devices.

Artificial Intelligence 189

Artificial Intelligence Mobile Games Internet 189

Dynatrace

APRIL 21, 2023

Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines. That’s why teams need a modern observability approach with artificial intelligence at its core.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

Dynatrace

JUNE 1, 2022

Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. Many of these libraries have not been adequately tested before deployment. As a result, these code sources compound opportunities for vulnerabilities to enter the software development lifecycle (SDLC).

Artificial Intelligence 185

Artificial Intelligence Java Strategy Cloud 185

TechBeacon Testing

JANUARY 10, 2019

Some may see testing as a fairly boring and static set of practices, but the leaders in this space know that it is a vibrant discipline that is constantly improving every year, thanks to exciting new techniques made possible by better automation tools and artificial intelligence.

Artificial Intelligence 67

Artificial Intelligence Testing Software Software 67

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.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

Testsigma

MAY 15, 2021

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. 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.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

O'Reilly

NOVEMBER 29, 2022

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”.

Social Media 111

Social Media Artificial Intelligence Media Government 111

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.

Artificial Intelligence 61

Artificial Intelligence Engineering Performance Performance Testing 61

QAMentor

JULY 8, 2019

Many testers often wonder whether AI (Artificial intelligence) will threaten their existence in the future. This topic becomes even more important in the context of today’s tech-driven world where a huge number of software companies are steadily adopting high-end technologies like AI and ML. appeared first on QA Mentor Blog.

Performance Testing 58

Performance Testing Artificial Intelligence Testing Performance 58

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.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Testsigma

DECEMBER 20, 2019

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Testing continued to evolve, and it took advantage of technology innovations.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

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!

Software 51

Software Software Testing Artificial Intelligence 51

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Testsigma

DECEMBER 21, 2020

As the world moves forward, it wants to progress, more efficiency, more speed, and the same is the case with the software development industry. Every software development organization wants to save time, effort, and money at every step possible. Software Testing being a major part of software development also needs more efficiency.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52

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. The Dynatrace Software Intelligence platform monitors the full multicloud stack. Mean time to repair. Mean time to recovery.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212