Automated Learning From Computer Errors - S4M supports research project of RFH Köln

S4M-Solutions for Media GmbH participates in the academic research project “automated learning from error information” (ALaF) of the faculty of Business Informatics at the Rheinische Fachhochschule Köln (University of Applied Sciences) after being invited by SQS Software Quality Systems.

The aim of the research project, which recently was authorized by the German Federal Ministry of Education and Research (BMBF), is to improve development processes by the automated analysis of computer errors. S4M – Solutions for Media will provide all the know-how and adequate case scenarios, which have been gathered in international and large software projects over the years.

Dr. Siamak Tadjiky, S4M´s Vice President Broadcast Management Systems: “We develop highly complex software systems at S4M that visualize the core processes of our clients´ - which mainly are TV Networks - business concepts. Certainly the analysis of software bugs in the development process has a significant meaning. Thus we are looking forward to apply our experience on the one hand, then again to participate in the results of this project and to integrate them in daily working processes.“

The research project will develop an error analysis procedure that identifies errors in software-development projects and can already delete them during the ongoing project. The automated analysis of bug-information is supposed to be performed by a data-mining-application which can be connected to standard tools of error documentation and error tracking as an open-source-software. Beyond that an introductory concept for this automated procedure of error analysis and testing in practice is planned.

With 92 percent of the possible valuation points the proposal for the research project AlaF was rated notably positive. The Federal Ministry has assured a sponsorship of two and a half years.

“At present two employees each are preparing a scientific work dealing with the research project”, says Prof. Dr. Ralph Trittmann, Head of the degree programme Business Informatics at the Rheinische Fachhochschule Köln and Project Manager of ALaf. “The results of both works will move our research project another big step forward”.

Since the scientific works will be presented in the middle of November 2009, it is planned to hold the next meeting for the participants of this research project at the end of November. Get further information about the project from Prof. Dr. Ralph Trittmann (email: trittmann@rfh-koeln.de) or Dr. Oral Avci (email: oral.avci@sqs.de).

Rheinische Fachhochschule Koeln (University of Applied Sciences)
Limited group sizes, streamlined course progressions and seminar-style lectures distinguish study at the Rheinische Fachhochschule Cologne (RFH). Founded in 1971 RFH is one of Germany’s most experienced private universities and has got about 4500 students. Through co-operations with medium and large companies, a hands-on approach to study is ensured. Furthermore, some 85% of students receive a job offer prior to graduating, making for a smooth transition into working life. Courses are offered both in full-time mode and concurrent with employment (with lectures in the evenings and on Saturdays). Find more information under www.rfh-koeln.de.

S4M – Solutions for Media GmbH
The Cologne based company S4M – Solutions for Media, a subsidiary of arvato systems and RTL Television, develops and distributes software solutions specialized on the broadcast- and new media industry. Today, S4M systems are used in 30 countries around the world. Whether commercial air time sales or video content management; whether program planning, rights licensing, ratings evaluation or production planning: S4M has got the solution. Furthermore, the S4M portfolio includes professional consulting services to pass along combined knowledge of media and IT to customers.

S4M - Solutions for Media GmbH
Am Coloneum 3
50829 Köln
Germany
www.s4m.com
Presscontact
Marcus Metzner
E-Mail: presse@s4m.com
Tel: +49.221.285550
Fax: +49.221.28555.210

This release was published on openPR.