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Articles by Tamas Cser
Q&A with Functionize CEO, Tamas Cser on Software Testing In An AI World
Functionize is an agent-native software testing platform. Global enterprises including GE Healthcare, McAfee, Markel, Geico and Alight rely on Functionize to build, run, and repair tests at scale, and to prove every release works as intended. As software gets easier to produce, quality is the distance between what a team intended and what actually reached their customers. Functionize aims to close it, on every release, for every team.
Democratized Testing Redefines Modern QA
There’s a massive paradigm shift underway in the testing landscape. Currently, even small changes in code require a re-write, review and pass through a Continuous Integration (CI) system. Consider a button location moving on a website requiring a coding change. What looks like some minor changes snowballs into a two or three hour process to make the updates and takes lots of overhead for something that should not require coding changes or a human in the loop.
Democratized Testing Redefines Modern QA
There’s a massive paradigm shift underway in the testing landscape. Currently, even small changes in code require a re-write, review and pass through a Continuous Integration (CI) system. Consider a button location moving on a website requiring a coding change. What looks like some minor changes snowballs into a two or three hour process to make the updates and takes lots of overhead for something that should not require coding changes or a human in the loop.
Understanding Tokens and Parameters in Model Training: A Deep Dive
In artificial intelligence (AI) and machine learning (ML), the terms "token" and "parameter" are often used interchangeably, but they have distinct meanings and roles in model training. Tokens represent the smallest units of data that the model processes, such as words or characters in natural language processing. Parameters, on the other hand, are internal variables that the model adjusts during training to improve its performance.
The Human Element in AI-Driven Testing Strategies
Artificial intelligence is revolutionizing the field of software testing. We are finding faster and more efficient ways to test code and detect defects. However, as with any technology, there is a human element involved in AI-driven testing strategies that cannot be ignored. In this article, we will explore the importance of human input in AI-driven testing and how to strike the right balance between humans and machines.
10 Key KPIs Driving Continuous Improvement in QA Teams
Quality Assurance (QA) teams are the guardians of application quality. They make sure that functional requirements are met, and they are also tasked with delivering a seamless user experience. Key Performance Indicators (KPIs) are at the heart of this process - they offer valuable insights into the effectiveness, efficiency, and overall performance of testing.
Welcome to the Party, BizDevOps!
Whether you are a QA specialist introduced to a new colleague with the role of BizDevOps, or you join a company where BizDevOps is a standard just like traditional functions, you are likely curious about the role and its implications on your work. This article is designed to provide clarity and insights into the responsibilities of BizDevOps professionals, explain how their role intersects with yours, and shed light on the potential impact of BizDevOps on QA work dynamics.
Things that are called ML/AI that really aren’t
Artificial Intelligence (AI) is a genuine technical term to describe something that doesn’t quite yet exist in a truly cognitive form. However, AI is also a marketing buzzword used to distinguish items with extra usability or computing-power oompfh. The acronym often attempts to differentiate ordinary things, such as phones, from extraordinary things of the same ilk, such smartphones.
5 survival tips for when software testing accidents happen
Serious defects happen, despite the best efforts of QA departments. Here’s what you can learn from real world screw-ups, so you can avoid making the same mistakes. Accidents in software development and testing have brought headlines ranging from hilarious to horrific. Back in 2013, for example, millions of PayPal users were tickled to learn that the long-standing online payment system had erroneously awarded more than $92 quadrillion – yes, quadrillion – to another user.
6 ways to improve your debugging skills
Writing software is, by most estimations, the easy part. A developer can be creative about user interface design, fancy algorithms, or the application’s infrastructure. However, as Thomas Edison was reputed to say, genius is 1% inspiration and 99% perspiration. For software to work as designed, it must be thoroughly debugged—but nobody teaches developers how to sweat.
Automated Testing: Facilitating Continuous Delivery
Although some believe Java is dying, developments such as the upcoming release of Java 9 and the strength of the Java community tell another story. New JVM-based languages like Kotlin and exciting changes in Java 9 such as Project Jigsaw, Streams API improvements, and JShell prove a bright future ahead. The 2017 Guide to Java explores upcoming features of Java 9, how to make your apps backwards-compatible, a look into whether Microservices are right for you, and using the Futures API in Java.
The Software Quality-Innovation Conundrum: What Goes Up Must Come Down?
Innovation is a wonderful thing. Building products can be fun and exciting -- until it’s time to test the software. That’s when timelines are the shortest and when your QA team is expected to do more, faster and with fewer resources. Could a chief quality officer be the answer? The temptation to assign another “chief” to the growing list of officers is an easy trap to fall into.
AI in Test Automation
This article is featured in the new DZone Guide to Automated Testing: Your End-to-end Ecosystem. Get your free copy for more insightful articles, industry statistics, and more! Today, almost all IT projects are faced with the challenge of operationalizing and deploying software and services with greater speed and accuracy, creating an unrelenting, high-pressure environment for the project team. Requirements shift daily and there are never enough engineers to make it all happen perfectly.
Automated Testing: Your End-to-End Ecosystem
Although some believe Java is dying, developments such as the upcoming release of Java 9 and the strength of the Java community tell another story. New JVM-based languages like Kotlin and exciting changes in Java 9 such as Project Jigsaw, Streams API improvements, and JShell prove a bright future ahead. The 2017 Guide to Java explores upcoming features of Java 9, how to make your apps backwards-compatible, a look into whether Microservices are right for you, and using the Futures API in Java.
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