Our Software Innovations

Research shows how model-driven development together with AI can increase solution development speed by up to 54% and solution quality by up to 41%.

Here is some research on productivity and quality gains:

Evaluating the Benefits of Model-Driven Development |
Universidad San Jorge, SVIT Research Group | https://www.researchgate.net/publication/341834755_Evaluating_the_Benefits_of_Model-Driven_Development_Empirical_Evaluation_Paper
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot |
MIT Sloan School of Management |
https://arxiv.org/abs/2302.06590

Evaluating the benefits of empowering model-driven development with a machine learning classifier |
Wiley |
https://onlinelibrary.wiley.com/doi/10.1002/spe.3133

Motivated by the current research and the current adoption of copilots for coding, we decided to focus our software products on early phases of solution development. Analysis and solution architecture are becoming more complex, with end-to-end solutions using components from many different vendors and a wide range of technologies. While a developer for a specific product is already a product expert and can use genAI to become even more productive and effective, business analysts and solution architects currently have to handle increasing complexity without AI support. We are here to change that.

Business Analysis Copilot

The MVP of this product was developed as part of the Capstone Program at the Swinburne University of Technology in Melbourne, Australia.

Its goal is to help business analysts work faster and more effectively when writing use case descriptions that serve as requirements for the development of a digital solution.

The Business Analysis Copilot (BAC) takes use case blueprints from the Sustainable Supply Chain Framework and organization-specific requirements to create an initial version of a use case description. The business analyst can then interact with the BAC to finish the use case description.

While the original MVP is available as open-source code, versions 1.0++ of the product are commercial offerings from INOVIA Software.

Solution Architecture Copilot

The goal of the Solution Architecture Copilot (SAC) is to help solution architects work faster and more effectively when creating solution architecture designs. It is especially valuable for solutions that contain many different software products and technologies, where the solution architect is not able to have the deep technical product knowledge that an SAP or SFDC architect might have.

The Solution Architecture Copilot is currently developed in a research program together with the Fraunhofer IOSB-AST institute. While the source code developed in the project will be open-source, further enhancements will remain proprietary IP of INOVIA Software.

The BAC and SAC can be combined with existing development copilots to optimize the solution development life cycle end to end.

Please contact us on info@inovia-software.com, if you are interested to learn more about the BAC and SAC.

If you are interested in optimizing your complete solution development life cycle, please get in touch with our sister company INOVIA Solutions. They have an offering called Solution Development Copilot Platform.