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

Projektinformationen

GAMMA

ID Finanzhilfevereinbarung: 868153

DOI

10.3030/868153

Projekt abgeschlossen

EK-Unterschriftsdatum 11 Mai 2019

Startdatum 1 Juni 2019

Enddatum 30 November 2019

Finanziert unter

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Gesamtkosten

€ 71 429,00

EU-Beitrag

€ 50 000,00

Koordiniert durch

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)

Berichtszeitraum: 2019-06-01 bis 2019-11-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

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.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

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.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

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