Pegasystems announced the general availability of Pega Infinity ’24.1™.
In 2018, software defects in the US cost about $2.85 trillion. Needless to say, there's room for improvement. If you haven't taken a look at the QA health of your organization, you should consider it. How much money could be saved by better test coverage?
It might seem odd, but one of the most important metrics to an organization's QA health is customer satisfaction. CSAT reflects on product quality, and knowing where your coverage falls short can help shape a strategy that improves QA, product, quality, and CSAT.
Rainforest QA teamed up with TechWell to diagnose the state of QA health by surveying 250 QA testers, engineers, managers, and other QA professionals to understand how they approach QA in their organizations.
Weak Pulse
As it turns out, only 17% of respondents' QA teams are in "good" health or better, with more than half merely surviving, and 32% practically on life support. Why is good QA such a struggle for some? It could be that for many companies QA operates as a separate entity.
For an organization to get the most from its QA team, QA goals should be aligned with business goals. However, that's usually not the case. Only 48% of respondents report following that best-practice alignment. 20% of respondents report not having any QA goals at all. When it comes to test coverage, we see similar numbers.
Test coverage is an integral factor in product quality, so determining test coverage is an important step toward reaching that goal. Ideally, a QA team will work with development to align test coverage with code and measure how much code is exercised when tests are run. We find that 49% of respondents are following QA best practices for determining test coverage, but the other half of those surveyed currently do nothing to determine coverage.
Taking Control of QA
Here are some other eye-opening statistics we found:
■ 46% of respondents believe their QA process does not adequately align with development cycles
■ 10% of respondents are "extremely confident" that their current test coverage will ensure a high-quality product
■ The 48% of respondents who are following smart QA measurement practices keep track of metrics such as:
- number of tests executed
- number of bugs found in test vs. production
- percent of automated tests
- resolution
At this point, the main takeaway from the 2019 QA Health Survey won't be a surprise. Many QA organizations need to take better control of their QA fitness, and soon. Development and deployment processes are not slowing down. Users demand better features, more services, and higher quality.
Industry News
Mend.io and Sysdig unveiled a joint solution to help developers, DevOps, and security teams accelerate secure software delivery from development to deployment.
GitLab announced new innovations in GitLab 17 to streamline how organizations build, test, secure, and deploy software.
Kobiton announced the beta release of mobile test management, a new feature within its test automation platform.
Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.
Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.
IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.
StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.
GitKraken acquired code health innovator, CodeSee.
ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.
Security Innovation has added new skills assessments to its Base Camp training platform for software security training.
CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.