Spec2TestAI™ Product Suite
Spec2TestAI™ Product Suite
*Tiered User Option Available: Allows for Administrative User and the Individual User Views. Pricing subject to change.
About Spec2TestAI™
Utilizing a Generative AI foundation, Spec2TestAI™ is designed to enhance business requirements, generate robust test cases and development assets, and foster a culture of defect reduction through the early creation and review of business and technical artifacts; all critical elements of a healthy Software Development Lifecycle (SDLC). Spec2TestAI™ provides an innovative opportunity for all stakeholders to gain an early view into the probable end-result of the project requirements and correct ambiguities, misstated requirements and/or add missing requirements, prior to the first line of code being written.
AgileAI Labs now provides 4 versions of the Spec2TestAI™ Platform, increasing in analysis complexity and asset generation. Paradigm™, our original product, started it all by harnessing and directing Gen AI to enable a paradigm shift in the way agile teams approach software development to embed quality and prevent defects right at the beginning stages of the SDLC. From the test-centric, quick and easy Requirements ambiguity removal and test case generation of Spec2Lite™, to the profound analysis and test coverage of Spec2TestAI Abriz™, optimal use of Spec2TestAI™ entails executing, reviewing and clarifying requirements, based on the output of the platform.
Discover the undeniable productivity increase and improved quality outcomes by choosing the version best aligned with your agile team’s structure and equip your team with the tools they need to succeed achieving their goals in today’s “Indy-paced” software development industry. After all, developing quality software is everyone’s business!
ROI Per User Story
Business Benefits
The application can analyze a large set of complex requirements in just 60 seconds, a task that would normally take an agile team an hour. This leads to substantial cost savings.
By generating and analyzing requirements based on best practices, you’re ensuring higher product quality which can lead to increased customer satisfaction and reduced post-release maintenance costs.
Automatic generation of BDD assets, test cases, and an automated testing framework allows the team to focus on core product development instead of manual test creation.
User Benefits
The application’s deep AI analysis of requirements helps product owners and stakeholders refine requirements at the start of the sprint, saving time and preventing scope changes mid-sprint.
With AI-generated insights and commentaries, daily stand-ups can be more data-driven and focused.
Traceability and coverage analysis provides teams with concrete data to analyze in retrospectives, fostering continuous improvement.
Technology Benefits
Teams have the flexibility to choose from Python, Java, JavaScript, and Ruby for their BDD assets and testing frameworks.
The deep-trained AI understands well-formed requirements, providing teams with enhanced, context-rich requirements.
Utilizing mathematical models and decision tables ensures comprehensive and effective test cases, reducing the chances of defects slipping through.
Other Benefits
AI commentary not only points out the deficiencies but also educates the users on why certain requirements are of high quality, helping teams learn and improve over time.
By identifying ambiguities and enhancing requirements, the application helps in preventing defects at the source.
The application provides a standardized way of creating, analyzing, and testing requirements, ensuring consistent quality across all agile projects.
