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

Información del proyecto

GAMMA

Identificador del acuerdo de subvención: 868153

DOI

10.3030/868153

Proyecto cerrado

Fecha de la firma de la CE 11 Mayo 2019

Fecha de inicio 1 Junio 2019

Fecha de finalización 30 Noviembre 2019

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Coste total

€ 71 429,00

Aportación de la UE

€ 50 000,00

Coordinado por

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)

Período documentado: 2019-06-01 hasta 2019-11-30

Resumen del contexto y de los objetivos generales del proyecto

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.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

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.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

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