Amazon Web Services (AWS) announced the general availability of Amazon Q, a generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.
Overall, C-suite executives are happy with the applications and solutions that come out of the pipeline. However, businesses are still frustrated by the speed of delivery, according to a recent study from Forrester Consulting, commissioned by Eggplant.
The research identified that improving the customer experience is the number one goal for organizations when planning and orchestrating their software strategy. The study also highlights a gap between IT and business leaders thinking when it comes to testing strategy.
To accelerate digital transformation, business leaders recognize that delivering the best customer experience hinges on the quality of their software.
Key findings:
■ Improving the customer experience is the number one requirement for organizations (49%), but almost half of businesses are not testing the user experience
■ Business focused on product usability but frustrated with the speed of app development
■ 47% of teams on average are exploring an intelligent approach to AI usage
■ IT leaders focused on reducing testing times, and feel held back by budgets, fragmented legacy technology and access to skills
The Testing Quality Conundrum
The transformation of testing is facing several hurdles as firms move towards continuous, AI-enabled test automation, including budget pressure, legacy technology being difficult to automate, and lack of the necessary skills. Businesses are having to do more with less, and using AI brings the significance of business testing back into focus, making companies smarter about what to test.
As a result of the desire for organizations to achieve superior customer experiences, speed, and quality have become essential in application delivery. However, the study also found that there is much room for improvement, especially when ensuring that quality is maintained.
■ 51% of application development teams are still applying manual functional testing
■ 46% scored the speed of testing as average, fair, or poor
■ 41% stated that the speed of their overall application development was average, fair, or poor
■ 36% also rated the quality of code in development (for testing) as average or worse
Organizations want to move towards continuous testing to increase levels of automation but are currently lagging in their capabilities to do so. However, firms that are evolving toward a continuous delivery model are transforming testing practices as part of this shift to continuous testing.
■ 52% of application development teams are implementing continuous testing
■ 49% currently apply automated functional testing
■ 47% of teams are exploring an intelligent approach to AI usage
The research identified several significant challenges that are constraining testing capabilities:
■ 32% stated that budget pressure is stifling testing innovation
■ 26% of firms pointed to legacy technology that is fragmented and difficult to automate
■ 25% highlighted that the right technical skills was the third highest challenge
The findings shed more light on the need for app development and delivery teams to fully embrace a more agile, DevOps, continuous, and automated approach to software delivery. To realize this transformation, there needs to be some fundamental changes in testing approaches to enable software delivery at speed without compromising quality.
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.4, the latest version of the enterprise Linux platform.
ActiveState unveiled Get Current, Stay Current (GCSC) – a continuous code refactoring service that deals with breaking changes so enterprises can stay current with the pace of open source.
Lineaje released Open-Source Manager (OSM), a solution to bring transparency to open-source software components in applications and proactively manage and mitigate associated risks.
Synopsys announced the availability of Polaris Assist, an AI-powered application security assistant on the Synopsys Polaris Software Integrity Platform®.
Backslash Security announced the findings of its GPT-4 developer simulation exercise, designed and conducted by the Backslash Research Team, to identify security issues associated with LLM-generated code. The Backslash platform offers several core capabilities that address growing security concerns around AI-generated code, including open source code reachability analysis and phantom package visibility capabilities.
Azul announced that Azul Intelligence Cloud, Azul’s cloud analytics solution -- which provides actionable intelligence from production Java runtime data to dramatically boost developer productivity -- now supports Oracle JDK and any OpenJDK-based JVM (Java Virtual Machine) from any vendor or distribution.
F5 announced new security offerings: F5 Distributed Cloud Services Web Application Scanning, BIG-IP Next Web Application Firewall (WAF), and NGINX App Protect for open source deployments.
Code Intelligence announced a new feature to CI Sense, a scalable fuzzing platform for continuous testing.
WSO2 is adding new capabilities for WSO2 API Manager, WSO2 API Platform for Kubernetes (WSO2 APK), and WSO2 Micro Integrator.
OpenText™ announced a solution to long-standing open source intake challenges, OpenText Debricked Open Source Select.
ThreatX has extended its Runtime API and Application Protection (RAAP) offering to provide always-active API security from development to runtime, spanning vulnerability detection at Dev phase to protection at SecOps phase of the software lifecycle.
Canonical announced the release of Ubuntu 24.04 LTS, codenamed “Noble Numbat.”
JFrog announced a new machine learning (ML) lifecycle integration between JFrog Artifactory and MLflow, an open source software platform originally developed by Databricks.
Copado announced the general availability of Test Copilot, the AI-powered test creation assistant.