We will consult you in handling all likely problems and software solutions already before starting the project. Therefore we provide you with an overview of current software technologies, their capacity and resulting costs. Through years of experience in research projects we’re able to create innovative ideas and to give confidential ratings about feasibility and resulting efforts of yet not approved technical processes.
In order to create a programme for an appropriate software, research or a common project, we define the project objectives according to your wishes. According to your aim we evaluate the base data and organize their acquisitions. With the generated background and targets, we determine the accurate procedure and develop a detailed time management.
Research and tests
After the assessment of the strategy and the collection of the data set, the research period begins. In this phase, we define mathematical methods for the innovative project targets. The resulting algorithms are implemented and tested by us. If necessary we’ll create new test datasets, then verify all functions and adjust eventual available parameters of the new procedures.
Realisation and implementation
After the debugging and the first auditing of results we develop complete software packages and installation programs. Basic data as well as incoming information during the runtime can be organized in a database, if necessary. In this case, design and functionality of user interfaces will be compiled as well. According to requirements we implement individual software, web applications for visualization in common web browsers including pages and smart phone applications (Android, Iphone or WinMobile) for the presentation on mobile end devices.
Of course, we also manage and install database and web servers for the systems demands. Generally we recommend the organisation and implementation with open source software like Eclipse, Java, Linux, MySQL, OpenOffice and Apache.
We compare the results with reference data or manual collected example data. For the presentation of discrepancies and outcome we calculate statistical quantifications in the end. The developed system will be checked for weak points (i.e. false data entries), performance (computing power and transfer rate from data income to the graphical output and storing in the data base), compatibility (browser, operating systems) and processor load (i.e. parallel sign in of many clients) will be reviewed.
Development know-how and software acknowledgement :
• C, C#, ObjC, .net
• Java, Visual Java, Java Servlets
• VBA, VB
• Perl, Python, Turbo Pascal
• Oracle, MySQL, PostgreSql, PostGIS, SQLite
• Android & Iphone Entwicklung, JavaME
• HTML, CSS
• Photoshop CS6, Adobe Illustrator
• Apache, Tomcat