Application Assurance - What's Innovative?
This page shows up to 100 pieces of content which have been tagged Innovative (newest at the top):
Keysight brings gen AI to the testing world
Across the IT industry businesses are grasping the Gen AI nettle and engineering it into their products. Testing seems to be an excellent area, perhaps even the best area for its application.
DevOpsQA issues a 60-hours challenge - Some observations around, but not limited to, ISO 20022
The ISO 20022 standard enables reliable collaboration and communication as well as being required by banking standards such as SWIFT.
Platform.sh - A PaaS for modern application delivery
Platform.sh is a git-based Platform-as-a-Service (PaaS), with YAML configuration and local development with Docker-based DDEV.
Generative AI – is it really intelligent?
AI is better thought of as “augmented intelligence” rather than as “artificial intelligence”.
Intelligent Continuous Delivery - Is it really the last part of the DevOps story to be transformed?
OpsMX says that software development and IT Ops have been transformed but software delivery hasn’t yet, particularly if you want ultimate delivery velocity.
Integrating test automation with a legacy environment - Even legacy testing can evolve with modern tools
The application assurance domain can be automated with software-defined tooling and even legacy apps testing can evolve with a modern model-based approach.
Conversational AI with Druid and ChatGPT
David Norfolk has been looking at a Conversational AI platform called Druid, at why it is more than just another ChatBot, and at how it might be impacted by OpenAI’s ChatGPT.
Mainframe programming and the modern developer
Compuware is aiming to make mainframe development accessible to those of us more used to Docker and Selenium
A quiet revolution
Analytics and graphs are appearing in more and more software tools
The mutable mainframe
Despite appearances mainframes can be agile and can participate in DevOps and continuous delivery.
Testing should not be a roadblock
To keep up with the competition, companies need to get new applications and upgrades to market faster. Testing cannot be a roadblock on this path.
Testing and impact analysis
You need to understand how changes might impact on other parts of the system, because the former can break the latter.
Traceability in testing
In order to automate change you need the data, expected results and test scripts to automatically update, by virtue of their traceability back to requirements.
Automating reusability
By building up a library of reusable test assets functionality can be tested more rapidly by selecting components from this library
Responsive automation
So called "test automation frameworks" have to be able to respond to constant user demands. This process should be automated.
Tackling the storage provisioning nightmare and business clamour to save costs
Load DynamiX's appliance stress-tests large throughputs and infrastructures addressing the "what-ifs"
Managing the data asset with Pentaho
A look at the solution that Pentaho is putting in place to manage the data asset in a way that befits both the business and technology
Delphix and the agile data platform
Amongst other things (migrations, legacy modernisation, archival) Delphix provides test data management without needing to subset the data
The requirements gap: Agile Designer
Gird-Tools has announced the release of Agile Designer
GenRocket
GenRocket is a new vendor/product in the test data management space. After Grid-Tools it is the second (so far) vendor to offer synthetic test data generation.