Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. The user group participants emphasized the need for extensive testing in AI implementation. This aligns with the broader objective of responsible AI development and deployment.

Government 211

Government Artificial Intelligence Innovation Programming 211

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. 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?”

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

APRIL 21, 2023

The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. This means that our development teams are spending less time fixing defects and more time writing new code. That’s why teams need a modern observability approach with artificial intelligence at its core.

Innovation 182

Innovation Speed Artificial Intelligence Government 182

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 179

Artificial Intelligence Java Strategy Cloud 179

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Testing automation can be painstaking.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

DZone

DECEMBER 18, 2020

In the agile times of software development and testing, it is one of the determinants for survival to meet the time goals, while maintaining the quality and keeping the cost at the lower side. For many enterprises, it is difficult to do.

Speed 189

Speed Software Software Testing 189

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.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

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. A canary is a script that can be customized and is typically coded in JavaScript or Python.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

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. Traditional test automation: What is it?

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

NOVEMBER 5, 2019

Application Insights – Collects performance metrics of the application code. This requires the installation of an instrumentation package into the code making it a hands-on approach to monitoring. Distributed Tracing – Distributed Tracing / Code level insights for multiple technology stacks are achieved without any code changes.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

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.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52

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.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Alex Podelko

DECEMBER 19, 2019

Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. – Application of Artificial Intelligence to operations – as done at Mastercard. And, by the way, you may get a discount with my personal code Podelko10.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

DZone

FEBRUARY 4, 2021

Whether it's a tool to help that developer become more productive or an entirely new way of thinking about the architecture of the project, developers are able to spend more time focusing on the unique parts of our code and focus on that great experience.

Testing 198

Testing Architecture Code Development 198

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?

Testing 52

Testing Artificial Intelligence Processing Programming 52

Dynatrace

MAY 4, 2023

Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. Leveraging open source code and traditional monitoring tools can also increase the risk for vulnerabilities to enter the SDLC.

DevOps 212

DevOps Speed Innovation Open Source 212

Dynatrace

NOVEMBER 8, 2021

Artificial intelligence for IT operations (AIOps) for applications. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. Gartner evaluates APM solutions according to these three functional dimensions: Digital experience monitoring (DEM).

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Dynatrace

DECEMBER 16, 2019

Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. 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

Artificial Intelligence 148

Artificial Intelligence Traffic Efficiency Innovation 148

O'Reilly

APRIL 9, 2024

“Hail the QA Engineer” may be clickbait, but it isn’t controversial to say that testing and debugging will rise in importance. First, one of the cornerstones of QA is testing. Generative AI can generate tests, of course—at least it can generate unit tests, which are fairly simple. Programming culture is another problem.

Games 77

Games Programming Testing Code 77

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?

Software 51

Software Software Testing Artificial Intelligence 51

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.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

O'Reilly

JULY 11, 2023

I did a very non-scientific study of the amount of time programmers actually spend writing code. OK, I just typed “How much of a software developer’s time is spent coding” into the search bar and looked at the top few articles, which gave percentages ranging from 10% to 40%. How much time and effort does that save?

Programming 99

Programming Code Design Software 99

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. The code as given had a couple of basic syntactic errors–but that wasn’t the only problem. It was a brute-force primality test that tried each integer (both odd and even!)

Programming 104

Programming Code Testing Artificial Intelligence 104

O'Reilly

OCTOBER 10, 2023

ChatGPT responded with some fairly basic advice about following common Ruby naming conventions and avoiding inline comments (Rubyists used to think that code should be self-documenting. ChatGPT obligingly rewrote the code–again, I probably should have told it not to. A rigorous test suite would have helped.) Unfortunately).

Programming 73

Programming Education Code Testing 73

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?

Artificial Intelligence 211

Artificial Intelligence DevOps Innovation Metrics 211

O'Reilly

JUNE 13, 2023

It also generated a short program that implemented the widely used Miller-Rabin primality test. After fixing some obvious errors, I ran the program–and while it told me (correctly) that my number was non-prime, when compared to a known good implementation of Miller-Rabin, ChatGPT’s code made many mistakes.

Google 83

Google Programming Database Testing 83

Dynatrace

OCTOBER 2, 2023

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. However, the distributed system of a microservices architecture comes with its own cost: increased application complexity and convoluted testing. Migration is time-consuming and involved.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

O'Reilly

OCTOBER 17, 2023

To say nothing of debugging and testing.) If generative AI helps us put to rest the idea that programming is about antisocial people grinding out lines of code, and helps us to realize that it’s really about humans understanding problems and thinking about how to solve them, the programming profession will be in a better place.

Programming 100

Programming Education Engineering Design 100

DZone

MAY 8, 2020

Earlier in my career (though it seems like yesterday), product teams I was a part of did everything “on-prem”, and angst-ridden code compiles took place every few months. We’d burn down bugs using manual QA and push to production after several long nights before taking a long nap and doing it all again next quarter.

Efficiency 147

Efficiency Engineering Code Artificial Intelligence 147

Testsigma

MARCH 12, 2021

Robotic Process Automation and Test Automation are two confusing terms in testing processes. Similar to TDD and BDD processes, RPA and test automation seem like a single branch of the test segment which is common to be exchanged in communication during planning. What is Test Automation? Source: [link].

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

O'Reilly

JUNE 27, 2023

When a person clicked “submit,” the website would pass that form data through some backend code to process it—thereby sending an e-mail, creating an order, or storing a record in a database. That code was too trusting, though. Why not take the extra time to test for problems?

Social Media 89

Social Media Media Website Database 89

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Testsigma

JULY 13, 2021

A few years back, “ codeless testing ” was interchangeably used with the “ record-and-replay ” functionality of the automation software. Today, the advancements in codeless testing have widened the gap between the terms and gave them separate and clear meanings in the IT industry. It depends on the codeless testing tool you are using.

Testing 52

Testing Artificial Intelligence Programming Code 52

Percona

DECEMBER 14, 2023

Will 2023 be called the year of Generative Artificial Intelligence (AI)? Google Bard vs. MongoDB and MySQL challenge This was my first test of Bard ever, and I had pretty high expectations due to the fact that it can reach the online information, as opposed to ChatGPT, which operates on limited data. Use code with caution.

Database 89

Database Artificial Intelligence Servers Operating System 89

O'Reilly

JUNE 7, 2022

It seems inappropriate to be talking about AGI when we don’t really have a good definition of “intelligence.” We have a lot of vague notions about the Turing test, but in the final analysis, Turing wasn’t offering a definition of machine intelligence; he was probing the question of what human intelligence means.

Artificial Intelligence 145

Artificial Intelligence Games Energy Open Source 145

O'Reilly

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. The higher percentage of users that are experimenting may reflect OpenAI’s addition of Advanced Data Analysis (formerly Code Interpreter) to ChatGPT’s repertoire of beta features.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Testsigma

SEPTEMBER 28, 2021

Even though they were managing quite well with manual testers and in-house test automation setup, they know this arrangement cannot work for long. They also know that automation testing is gaining popularity and it is one of the strategies to get hold of ROI faster. Test creation – Easier with a friend.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52