Enhance Ideas and Technologies

The Internal Innovation Process

Together with students of our partner universities - LMU Munich and the University of applied Sciences Kempten - we continuously improve our software solution and search for new technology trends to integrate in our tool. We know that only by working closely together with representatives of industry and science we are able to create the best solution for ourselves and our customers.

This is an excerpt of our recent research projects

Conception and Implementation of UI Test Automation

The goal of this project was to find the most effective solution for automated UI testing of the aumentoo web application. This involved the comparison of different tools and practices and resulted in the development of test suites based on the Selenium testing framework.
The insights gained from this project enabled us to improve our development process by getting earlier feedback on issues and being able to run our test suites on various platforms and devices on-demand.

Threat Modelling for Webservices

At aumentoo, we believe that it is key to integrate security as an ongoing process throughout our application development lifecycle. This also involves methods to spot risks and flaws in our applications early on. Threat modeling is one of those methods which we have conducted in this research project to not only find weaknesses in our application but also within our organizational environment. We also performed simulated attacks against our application to evaluate our findings from the threat modeling process.
The outcome of this project helped us finding out what assets we need to protect and how we are going to protect them. Furthermore, it also made clear that risk estimation is essential for applying resources on issues that we will realistically face.

Comparison of Programming Languages and Design Patterns for the Implementation of an Android Application

The purpose of this research paper was the theoretical and practical comparison of different common practices for the development of the aumentoo Android application in order to implement the best possible technologies for our solution. Our student started the approach by opposing various Android programming languages and design patterns. After that the most common ones were compared through performance tests.
The outcome of the tests was that Kotlin, as programming language, and MVC, as design pattern, are the most suitable and best performing technologies for aumentoo. The last step was to starting the development of the user interface for the first aumentoo Android application prototype.

Real-time Evaluation of Social Media Data

Social networks like Twitter, Facebook or Instagram have become the de facto standard for communication. This development was possible through the high availability of networks, especially facilitated through mobile applications. Additionally, the combination of todays smartphones and social networks makes it possible to share high quality media. Currently over 500 million tweets are sent daily on Twitter, about 10-15% of them containing images and geo-coordinates. This project was about investigating which type of evaluations (including a deep learning framework) can be made with the provided (real-time) data and what insights can be gained from them.
The acquired knowledge during this project helps aumentoo to quickly identify market trends, deduce regarding activities and develop forecasts.

Long-term Evidence Preservation of Cryptographically Signed Data

This scientific project deals with the problem of long-term signing of digital data considering the ArchiSig concept.
During the project the Technical Guidance TR-03125 was examined and an ArchiSig module was implemented, which was supposed to prove the advantages of the concept in practice.
Since aumentoo is a fully auditable application, long-term archiving of data plays a particularly important role. This ensures that it is always possible to restore a specific state of the application or individual content, at a specific point in time. Hence, the proof of this stage of work by an external entity is legally possible without giving access to the content to the external entity.

Study and concept for user experience and acceptance of an enterprise business application

The goal of this thesis was to find ways to increase the user experience and acceptance of an enterprise business application in such a way that it not only serves as a tool for performing work tasks, but that users want to use the application out of intrinsic interest. For this purpose, it was investigated what can increase customer loyalty, how gamification can be used in motivating users and which game mechanics other applications such as YouTube, Facebook, Twitter, etc. use.
The knowledge gained was then used to analyze the aumentoo iOS app and to develop a concept that is based on known mechanics of social media, but also breaks new ground with a gamified prototype specially tailored to aumentoo.

Measuring Open Innovation Initiatives – taking the example of Corporate Startup Engagement (CSE). Development of a maturity stage model in consideration of relevant KPI.

The goal of this research was to focus on impact metrics, as one relevant factor for a successful CSE, as well as on maturity stages which corporate startup programs are in. Therefore, reviewing current approaches of measuring innovation was regarded as fundamental. Considering relevant maturity stages, the aim was to then develop a system of key figures.
Taking into account that CSE showed up in literature rather recently, an holistic approach to this work has been chosen. CSE was explained and classified using the Open Innovation Model of Chesbrough. In-depth interviews served to examine how applicable approaches of innovation metrics are to CSE and to further research on maturity stages of startup cooperations.
The knowledge gained helps corporates on the one hand to design their innovation KPI, under consideration of the stage they're in. On the other hand it shows relevant challenges and limitations for doing that. Finally, success factors for implementing impact metrics arise.