qTest Copilot is a generative AI assistant that automatically drafts test cases and test steps based on source documents and user requirements, offering considerable time-saving benefits when compared to manual approaches. Embedded into the newest version of the qTest platform, qTest Copilot combines Tricentis’ scalable and unified test management technology, with new AI-augmented features to allow QA and developer teams to greatly accelerate software delivery.

Users can quickly create test coverage of any application, as well as explore unidentified quality gaps by broadening the test scope to include tests for additional scenarios and unexpected events. With a single click, both test steps and expected results are generated in seconds, enabling users to deliver higher quality releases more confidently and with fewer escaping defects.

The addition of generative AI features into qTest also enables more common and consistent test case descriptions, which both new and existing teams can use to create standards for how test cases are written across their entire test coverage.

Other features include:

• Select and easily control which projects and users are enabled for qTest Copilot.
• Approve drafted test cases after modifying, deleting, or creating new steps as needed.

• Prompt qTest Copilot to summarize for more concise outputs or to elaborate with more details.

• Regenerate test steps or the entire test case without losing the overall test scope.

 Learn more about how qTest Copilot, Tosca Copilot and Testim Copilot can help QA and development teams move faster and achieve better quality at https://www.tricentis.com/products/copilot

The post Tricentis Launches qTest Copilot appeared first on SD Times.

Backed with $3 million of seed funding from investors including Lerer Hippeau, Axeleo Capital, Factorial Capital, and others, the company has introduced its software-as-a-service that works with the developer’s Integrated Development Environment (IDE) and enables them to develop software more securely.

A Ponemon survey of 634 IT and IT security practitioners reported the top challenges to shift-left security were: a lack of integrated security tools (51%); an increase in work for developers (43%); too many vulnerabilities to fix (40%). These are precisely the challenges addressed by Symbiotic Security.

“Traditional approaches to code security are broken, which we fix by integrating security at the time code is written,” said Jerome Robert, co-founder and CEO, Symbiotic Security. “Symbiotic requires no additional developer training – it is the training. Our mission is to be the developer’s partner in security and we believe that this is the defining moment for cyber security where the vision of ‘shift-left’ is finally realized.”

The concept of ‘shift-left’ is to integrate security into the earliest parts of the Software Development Life Cycle (SDLC), which includes passing security responsibilities to developers. The initiative hasn’t yet been successful because, until now, developers have not been properly equipped nor have they found any operational gain in being responsible for securing their assets.

Symbiotic provides developers with real-time feedback on potential security vulnerabilities as they write code, as well as remediation recommendations, and training with information that helps further educate developers on the specific security issues encountered. The company has launched its minimum viable product for iteration, feedback, and testing and already has active deployments at eight companies. All are actively leveraging both the remediation plugin and the training, while providing user feedback that Symbiotic is using to further enhance the product.

Symbiotic Security helps developers ship clean code, which helps eliminate security backlogs without disrupting workflows.

With Symbiotic’s software, security is no longer an afterthought; it is where it should have always been – integrated into the SDLC as a foundational part of the coding process. It continuously scans code that has both already been written and as it is created, so that potential threats are identified and resolved immediately. In addition, Symbiotic Security offers developers contextual remediations right within their IDE, boosting efficiency and reducing costs, while improving security.

“Jerome and co-founder Edouard Viot have a deep understanding of the problems underlying traditional code security and demonstrated remarkable foresight with their approach to addressing the growing demand for shift-left security solutions,” said Graham Brown, managing partner, Lerer Hippeau. “Symbiotic has the potential to transform the industry, empowering developers and security teams alike.”

“Symbiotic Security is a security solution that truly understands developers and makes them more productive,” said Simon Elcham, co-founder and chief technology officer, Trustpair. “By integrating into our existing workflows, it has helped our development and security teams work more efficiently, reducing security backlogs and enhancing code quality. Symbiotic Security is outpacing market standards in both functionality and business impact.”

For more information about Symbiotic Security, or to inquire about becoming a design partner, visit the website at www.symbioticsec.ai. To see a demonstration, click the video link here.

The post Symbiotic Security Announces Funding, Introduces First Real-Time Detection and Remediation of Software Development Including Just-in-Time Training appeared first on SD Times.

In their campaign to create reliable, customizable testing solutions, their investment in AI serves a singular purpose: Address the quality risk developers and testers face as they’re pressured throughout product release cycles. While some AI advancements may emerge as a trend, Parasoft’s strategic AI investment has been a steadfast necessity, built on a decade of development. As more development teams turn to AI, the foresight of this approach underscores their commitment to helping users augment quality. It helps organizations integrate the Large Language Models (LLMs) they already use into advanced testing workflows.

“Parasoft’s latest innovations are the result of a long-term commitment to AI in software testing,” said Igor Kirilenko, Chief Product Officer, Parasoft. “We’ve been incrementally improving, one release at a time, toward a foundation that offers unparalleled reliability, choice, and control in testing workflows.”

He added, “These latest enhancements are backed by dozens of our technology patents, designed to ease the journey to fully autonomous software testing.”

In Parasoft’s latest product releases, developers gain greater control and feedback in strategic stages of the software development lifecycle – from continuous code validation to robust support for various LLMs.

Faster Time to First Feedback

Live Unit Testing has been added for real-time code verification in this version of Jtest, an AI-powered Java developer productivity solution. This enhancement automatically lets developers continuously execute unit tests impacted by code changes in their Integrated Development Environment (IDE). The ability to validate code changes before checking them into source control is a major time saver, resulting in fewer build and regression failures.

Parasoft’s machine-learning engine operates in the background, correlating recent code changes to impacted unit tests while autonomously executing tests in the IDE, giving the engineer continuous feedback. As an extension of Parasoft’s CLI-based test impact analysis announced earlier this year, this new combination offers two major benefits – it can help accelerate feedback on testing by 90% or more while slashing build and regression failures.

Parasoft’s Jtest and dotTEST solutions for C#/VB.NET development offer Live Static Analysis to automate continuous code scanning and remediate defects as they occur. Coupled with Parasoft’s AI-generated code fixes and new extended support for LLM providers, this gives development teams a new advantage. Most notably the ability to receive continuous feedback on quality, security, reliability and maintainability – all while remediating static analysis findings faster.

Accelerate Learning and Troubleshooting with AI Assistant

A new AI Assistant as part of Parasoft SOAtest and Virtualize now integrates with various LLM providers, such as OpenAI and Azure OpenAI.

To harness the power of this highly intuitive functionality, developers can simply ask questions in natural language and receive immediate answers about SOAtest and Virtualize. It’s designed to help users learn faster, but also troubleshoot problems with higher efficiency. The overall effect is that it enhances testing workflows by integrating AI-powered support into existing tester and developer toolsets.

Empowering Users with Choice of LLM

Customers need to clear hurdles as they implement LLMs into their development and testing processes. To help them, Parasoft has expanded LLM support for various providers in the newest releases of Jtest, dotTEST, SOAtest, and Virtualize.

In being able to integrate their preferred LLMs with Parasoft’s automated software testing solutions, teams have the ability to select the LLM that best fits their needs. It also addresses data security and privacy concerns by letting them use on-prem deployment options.

The post AI-Powered Solutions from Parasoft Slash Testing Failure Rates and Boost Developer Efficiency appeared first on SD Times.

Opsera leverages its DevOps platform and integrations and builds AI agents and frameworks to revolutionize the software delivery management process with a unique approach to automating data orchestration.
Opsera is now part of Databricks’ Built on Partner Program and Technology Partner Program.

The partnership enables:
● AI/ML Model Deployments with Security and Compliance Guardrails: Opsera
ensures that model training and deployment using Databricks infrastructure meets
security and quality guardrails and thresholds before deployment. Proper model training
allows customers to optimize Databricks Mosaic AI usage and reduce deployment risks.

● Schema Deployments with Rollback Capabilities: Opsera facilitates controlled
schema deployments in Databricks with built-in rollback features for enhanced flexibility
and confidence. Customers gain better change management and compliance tracking
and reduce unfettered production deployments, leading to increased adoption of
Databricks and enhanced value of automation pipelines.

“The development of advanced LLM models and Enterprise AI solutions continues to fuel an
insatiable demand for data,” said Torsten Volk, Principal Analyst at Enterprise Strategy Group.
“Partnerships between data management and data orchestration vendors to simplify the
ingestion and ongoing management of these vast flows of data are necessary responses to
these complex and extremely valuable AI efforts.”

Additional benefits of the Opsera and Databricks partnership include:
● Powerful ETL (Extract, Transform, Load) Capabilities: Databricks’ Spark-based
engine enables efficient ETL from various sources into a centralized data lake. This
empowers Opsera to collect and orchestrate vast amounts of data, increasing developer
efficiency and accelerating data processing efficiency.
● Scalable and Flexible Data Intelligence Platform: Databricks’ Delta UniForm and
Unity Catalog provide a scalable, governed, interoperable, and reliable Data Lakehouse
solution, enabling Opsera to orchestrate large volumes of structured and unstructured
data efficiently.
● Advanced Analytics and ML: Databricks Mosaic AI’s integrated machine learning
capabilities allow Opsera to efficiently build and deploy AI/ML models for predictive
analytics, anomaly detection and other advanced use cases.
● Seamless Integration: Databricks integrates seamlessly with Opsera’s existing
technology stack, facilitating smooth data flow and enabling end-to-end visibility of the
DevOps platform.

The post Opsera and Databricks partner to automate data orchestration appeared first on SD Times.

Businesses are often overwhelmed by the cost and complexity of traditional SaaS applications, which are slow to implement, overengineered, and have low adoption rates. In contrast, Creatio “Energy” heralds a new era of enterprise software – built on no-code and AI – that delivers greater economic value, provides engaging user experiences, and replaces static forms and data with conversational prompts that drive deep insights.   This new approach enables businesses to realize productivity savings of up to 80% for key knowledge worker roles, unlocking new levels of efficiency.

“With the launch of ‘Energy,’ Creatio continues to disrupt the business automation landscape with no-code and AI,” said Katherine Kostereva, CEO at Creatio. “The release combines agentic, generative, and prescriptive AI with our no-code tools, empowering business technologists to innovate and optimize operations like never before. Creatio Copilot delivers a unified AI architecture with a robust set of the latest AI capabilities, all easily configured with no-code tools and ready to use from day one.”

“With Creatio modern technology, we’ve been able to realize value extremely fast, boost front-office productivity, increase average order size, and streamline our commercial processes – all without the need for IT and development resources,” adds Jim Slomka, Chief Revenue Officer at BSN Sports and a Creatio customer.

According to the September 2024 Forrester report, The Four Agreements of Modern Business Apps, “AI is the force that most clearly marks the upcoming new era of business apps. To survive — and even thrive — in this new era, vendors must reimagine business apps to offer greater streams of value. They must become truly intelligent, dynamic, adaptable, and composable, be powered by cloud platforms, and offer AI, low-code, and marketplaces. “

Key features and enhancements of Creatio Energy 8.2:

No-Code AI Skill Development: Creatio Copilot now supports AI Skills, which are the building blocks that enable Copilot to execute specific intelligent tasks.  With Creatio’s no-code tools, users can effortlessly create new AI Skills using natural language, with no coding required. This makes AI accessible to all employees, regardless of technical expertise.  Energy also adds over 80 new no-code feature enhancements to further improve no-code productivity.

Unified Agentic, Generative and Prescriptive AI:  Creatio Copilot also introduces a new AI Command Center that integrates all three AI types—prescriptive, generative, and agentic—into a single platform. This unified approach provides organizations with the ability to design, deploy, and refine AI Skills without specialized technical expertise.

Modern CRM with Pre-Built AI Skills: The new release seamlessly embeds over 20 pre-configured AI Skills into sales, marketing, and customer service processes, enabling intelligent automation that reduces friction, increases efficiency, and enhances customer engagement.  This list will be rapidly evolving as new AI Skills will be published rapidly from Creatio and its ecosystem of partners.  Energy also adds over 100 new enhancements to CRM processes to improve user experience and drive greater automation.

Accelerated Adoption: Unlike traditional AI platforms that impose hidden fees and complex user licensing or usage costs, Creatio “Energy” accelerates user adoption by including cutting-edge AI as part of its base software license, providing a clear and predictable cost structure for organizations scaling their AI investments.  AI Command Center provides tools that allow Administrators to have full visibility into AI Skills adoption, including the ability to track consumption and users of each AI Skill.

Taken together, Creatio Energy represents a paradigm shift for no-code, moving beyond being a mere toolset for building applications to becoming an intelligent co-creator that actively collaborates with users. By integrating AI into every stage of app development, Creatio enables organizations to accelerate their innovation cycles, enhance customer experiences, and accelerate time-to-value. This transformation allows companies to reimagine what’s possible, positioning them to stay ahead of the curve.

The post Creatio Unveils “Energy” Release, Marking a New Era of Business Automation appeared first on SD Times.

The new Crowdbotics extension for GitHub Copilot takes advantage of all the requirements and context in the Crowdbotics platform to help developers generate more accurate code with Copilot. Integrated with GitHub Copilot Chat, the extension enables developers to benefit from this accuracy improvement without ever having to leave their development environment.

A recent joint research study conducted by Crowdbotics, GitHub, and Microsoft using a subset of the Crowdbotics extension features, found that injecting business requirements from Crowdbotics PRD AI into GitHub Copilot’s neighboring tab context model, improved GitHub Copilot code suggestion acceptance rate by 14%. This change reflects a 51% relative improvement in the acceptance rate. Additionally, the study found that developers using this multi-model configuration were 25% more likely to succeed at feature development than non-AI assisted developers. The now-publicly available Crowdbotics extension has this feature built in, along with a number of other additional features to help developers stay “in flow” longer.

“The Crowdbotics extension for GitHub Copilot achieves what both GitHub and Crowdbotics aim to do: improve developers’ lives by making their code smarter and more accurate,” said Anand Kulkarni, CEO at Crowdbotics. “Product requirements are the holy grail when it comes to making coding more efficient, so harnessing the power of this extension is a no-brainer for any developer looking to speed up their workflows without compromising context or accuracy.”

Benefits of the Crowdbotics extension include:

• Break features into decomposed layers, such as front end, back end, business logic, data schema or third-party integrations.

• Technical recommendations for the integrations best suited for the app and development team.

• Seamless connections between developers and PRDs without disrupting workflows or needing to switch to different windows.

The Crowdbotics extension is available now, with a free 30-day trial available through GitHub Marketplace.

The post Crowdbotics unveils extension for GitHub Copilot to improve acceptance rate of suggestions appeared first on SD Times.

Starting now, developers using these IDEs for non-commercial purposes, such as learning, open-source project development, content creation, or hobby development, can do so for free. This can significantly expand the availability of both WebStorm and Rider, as over two-thirds of developers code outside of work as a hobby, and almost 40% code outside of work for educational and learning purposes.

“We have been providing professional tools to help millions of developers worldwide for over two decades,” said Hadi Hariri, VP of Program Management and Communications at JetBrains. “This change allows us to lower the barrier of access to our products for those learning software development, hobbyists, and content creators, amongst others.”

WebStorm supports frontend, backend, and full-stack development with TypeScript and JavaScript – the world’s most popular coding language, used by 60% of developers. Rider empowers developers with the tools they need to write games for PC, consoles, or mobile with Unreal Engine, Unity, Godot, or custom engines.

“Creators of game engines like Unreal Engine and Unity have pioneered the model where indie developers can use the same technologies for free,” said Anastasia Kazakova, Head of Marketing and BizDev for .NET and GameDev Tools at JetBrains. “We are adopting a similar approach, extending it to software development and empowering developers to create, innovate, and grow their skills freely.”

Earlier this year, JetBrains released several new products under the same terms for non-commercial use, including RustRover, its dedicated integrated development environment (IDE) for the Rust programming language, as well as Aqua, the first IDE explicitly designed for test automation. The company also provides Community Editions of IntelliJ IDEA and PyCharm, which can be used to develop proprietary and commercial software.

Non-commercial users will get access to the same set of features that are available in paid subscriptions, including local AI-powered code completion introduced by JetBrains earlier this year.

The post JetBrains Makes WebStorm and Rider Free for Non-Commercial Use appeared first on SD Times.

Onymos DocKnow eliminates the need for time-intensive and error-prone manual data processing by using enhanced optical character recognition (OCR) to extract information from both structured and unstructured data. This includes printed and handwritten text, numbers, dates, checkboxes, barcodes, QR codes, and more from any document, including personal identification, intake forms, and health and immunization records. DocKnow can also be easily integrated with any third-party back-end information management system – such as Salesforce, AWS, Azure, and Google – or health record system.

In this latest version, DocKnow is strengthened by:

• A new customer-specific LLM API: This new API enables enterprises to train their own LLMs using their specific data, resulting in more accurate and domain-specific document processing. For instance, DocKnow reliably and instantly identifies inconsistent data across hundreds of pages.
• A new, helpful AI assistant: “Doc,” the Onymos AI agent, enables document processing teams – which could include healthcare professionals, legal teams, university registrars, and more – to search through specific documents and hundreds of pages for immediate access to particular information and records.
• An upgraded, customizable user interface (UI): The new, simple UI includes bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction, which dramatically improves readability for human reviewers. It allows full customization to match an enterprise’s brand, required functionality, and back-end systems. This gives enterprise software engineering and IT teams the ability to modify the component to meet their specific needs as if they had built it from the ground up themselves.

“We understand that many enterprises struggle with time-consuming and error-prone processes like document entry, validation, and retrieval, whether it’s for patient care, student registration, or case file review. While these enterprises have started integrating AI tools powered by LLMs like ChatGPT to help with these activities, they often encounter hallucinations and outdated training data issues,” shared Shiva Nathan, Founder and CEO of Onymos. “Our enhanced DocKnow addresses these challenges by streamlining document processing and empowering enterprises to train their own LLM models tailored to their specific needs, all while ensuring privacy and security.”

As with all Onymos software components, DocKnow is designed with a no-data architecture. This means that all data passing through the solution and used to train the LLM remains securely with the enterprise using the API – no bit or byte of data flows through any Onymos systems or clouds.

For more information on Onymos and DocKnow, visit onymos.com. You can also learn more about Onymos’ no-data architecture by downloading the white paper here.

The post Onymos unveils enhanced OCR component DocKnow with LLM API appeared first on SD Times.

Degreed’s new functionality includes:

• Skills Inference and Skills Management so learning administrators can automatically tag content with relevant skills and proficiency levels, ensure consistent skill labels and levels across connected systems, and deliver a personalized employee experience.
• Automations to streamline the administrative burden of delivering targeted learning recommendations and campaigns to employees with similar interests, experiences, and needs – as well as reminder nudges via email and push notifications to keep learners engaged and on-track with their development.
• Degreed Maestro, the next generation of Degreed’s in-app AI which now includes virtual voice and text coaching for skill proficiency, executive coaching, and career development. Personalized AI coaches can be tailored to specific organizational needs and integrated into the core Degreed experience through pathways, plans, and academies.
• New partnerships that enhance the interoperability of Degreed and bring more personalization and insights into the Degreed experience. These partnerships include an “AI-Ready” partner category to enhance AI-powered discovery, recommendation, and search experiences, skill validation partners to more easily verify learner skills, and a strategic partnership with Pearson that embeds labor market intelligence into Degreed.

“Every one of our clients is challenged to keep up with the pace of change,” said Max Wessel, Co-CEO of Degreed. “With our innovations in skills, automation, and AI, our clients don’t need to choose between scaling learning programs to reach more employees and personalizing those programs so they can drive workforce outcomes with pinpoint precision. They can have both.”

Degreed Vision featured customers, partners, and Degreed leaders sharing how technical innovations can help clients turn the talent they have into the talent they need.

“Today, Degreed unveiled the fruits of two years of investment into upgrading our platform architecture and Generative AI capabilities,” said Sanjay Parmar, Degreed’s Chief Technology Officer. “Our responsibility is to make driving change simple for HR, technology, and business leaders. By seamlessly connecting the vast array of systems that generate skill data across the employee experience, embedding intelligent nudges into everyday workflows, and delivering AI-driven tools that make discovering learning effortless, we aim to enable leaders to focus on strategic workforce development, rather than backend complexities.”

“This has always been the promise of Degreed,” said Vidya Krishnan, Chief Learning Officer of Ericsson. “All of the tools you need to build the capabilities of your people, in one place. We could have all the complexity of managing LMSs, academies and programs, HR data warehouses and analytics tools, a workflow tool, and more homegrown applications. Instead we use Degreed. Now, our L&D team can generate the skill insights our business leaders need. We can deliver personalized development to our employees. And we can automate, scale, and measure the progression of learning experiences to get us to where we need to go.”

Ericsson has also signed up to be one of the first co-innovation customers to test Degreed Maestro in beta.

Stronger partnerships

With its new “AI-Ready” partner category, Degreed has deepened its connections with content leaders to enhance curation and discovery of learning. Simplilearn, Pluralsight, TED@Work, and edX will be the first to co-innovate with Degreed to improve the data feeds that inform search and learning pathway curation. “Degreed continues to lead the charge in learning innovation,” said Krishna Kumar, CEO of Simplilearn. “Simplilearn is excited to partner deeply with Degreed to make it easier for our customers to organize and find relevant learning content.”

Degreed also welcomed four new and enhanced skill validation partners to better enable verification of people’s skills within Degreed — Skillable, Workera, HackerEarth, and iMocha — which join a number of existing assessment and badging integrations including Pluralsight, CredSpark, and Pearson’s Credly.

Finally, Degreed announced they are extending their partnership with Pearson to embed Faethm labor market intelligence into the core Degreed platform, providing L&D professionals with actionable, up-to-date insight into demand for workforce skills to inform learning.

“Degreed believes strongly in the power of openness and interoperability, and we remain committed to strengthening partnerships across the industry,” said David Blake, founder and Co-CEO of Degreed. “Not only does innovation flourish in an open ecosystem – it’s also hugely beneficial for the individual learner. It shouldn’t matter where or how you developed a skill. Learners should be able to carry their data and credentials as their career progresses and as they keep learning.”

Degreed has focused on redefining the workforce experience for more than a decade. With its latest enhancements, the company is proving that the world of AI will offer a new wave of transformation.

The post Vision 2024: Degreed Unveils AI-Enhanced Innovations to Accelerate Workforce Transformation appeared first on SD Times.

“By integrating load testing capabilities into TestComplete, SmartBear is empowering its customers to enhance software quality through streamlined testing workflows,” said Prashant Mohan, Senior Director of Product Management at SmartBear. “With the ability to automate both functional and load testing from a single location, our customers can now conduct thorough and efficient testing, ensuring their applications perform reliably under heavy loads.”

This integration allows testers to quickly convert existing functional tests into load tests, providing a faster and more efficient way to prepare your application for peak usage. Testers can also leverage AI-driven self-healing featuring SmartBear HaloAI to ensure that load tests remain relevant and effective, even as the application evolves. With this integration, testers can now automate a full-scale UI test suite composed of essential testing types, including functional testing, visual testing, device cloud testing, and load testing, giving teams exceptional testing coverage within a single tool.

“We can execute tests from our end users’ point of view, unlike other tools that can’t accurately understand the differences from yesterday’s build to today’s,” said Alexei Karas, software test automation professional. “Self-healing with TestComplete also makes load testing easier by enabling us to check, verify, and guarantee that my load tests recorded in the past still correspond to today’s reality.”

SmartBear has also launched test data generation featuring HaloAI. This new offering provides additional test data generation capabilities, delivering a more advanced and customizable solution. With the power of HaloAI, users can put their growing LLM skills to work, inputting simple-text commands to generate tailored datasets that better suit their specific testing needs. This approach not only streamlines the creation process but also ensures the security of customer data by generating it directly within TestComplete, eliminating the risk of using external LLM tools. Testers can quickly and easily create realistic and diverse datasets, enhancing the quality and effectiveness of their data-driven tests.

To learn more, register for the webinar, “Test Automation Just Got Stronger & Simpler,” at: https://smartbear.com/resources/webinars/launch-alert-test-automation-just-got-stronger-sim/

For more information, go to: https://smartbear.com/product/testcomplete/

The post SmartBear Boosts Testing Efficiency and Software Quality with Integrated Load Testing in TestComplete appeared first on SD Times.