The Artificial Intelligence Code Analysis & Recommendation Engine to drive software development speed & reliability for global corporations

Informacje na temat projektu

GAMMA

Identyfikator umowy o grant: 868153

DOI

10.3030/868153

Projekt został zamknięty

Data podpisania przez KE 11 Maja 2019

Data rozpoczęcia 1 Czerwca 2019

Data zakończenia 30 Listopada 2019

Finansowanie w ramach

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Koszt całkowity

€ 71 429,00

Wkład UE

€ 50 000,00

Koordynowany przez

EMBOLD TECHNOLOGIES GMBH
Germany

Periodic Reporting for period 1 - GAMMA (The Artificial Intelligence Code Analysis & Recommendation Engine to drive software development speed & reliability for global corporations)

Okres sprawozdawczy: 2019-06-01 do 2019-11-30

Podsumowanie kontekstu i ogólnych celów projektu

On average, a developer creates 70 bugs per 1000 lines of code, with 15 bugs per 1000 lines of code finding their way to the customers. Once detected, it takes an estimated 30 times longer to fix identified software bugs compared to writing a line of code. This therefore results in significant loss of time and revenue for the businesses, with an estimated 75% of a developer’s time spent on debugging (approx. 1500 hours a year).
Gamma is an innovative static code analysis and recommendation engine platform that provides real-time code analysis for complex software development reducing code bugs dramatically. The overall objectives of the FS are to define the technological and commercial tasks to make Gamma ready for commercialization and estimate the financial viability of the tool in the years after commercial launch.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

During the Feasibility Study we have described in detail the next steps to follow in order to bring the innovation to commercialisation (TRL9), the work packages and budget preparation for the project, identification and definition of the full supply chain, definition of the business model and commercialisation strategy, risks, market and competitors’ analysis.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

Our novel solution is the only one in the market that offers a unique recommendation engine, making the coding process, simpler, faster and more transparent, contributing to a productivity improvement of up to 40%. As software bugs will be detected in real time during code development, it will significantly cut down on development time by up to 75%, saving companies time and money. Additionally, proactively detecting and correcting software bugs early on during development will ensure that complex software applications are safe to use, thus preventing software bugs that might lead to disasters as it has occurred before.

GAMMA, the Artificial Intelligence Code Analysis & Recommendation Engine