Automated Protocol Data Analysis : Automation at Different Test Levels for Automatic Train Protection Systems

Valentin Shevchenko

ISBN 10: 3639114752 / ISBN 13: 9783639114751

Published by VDM Verlag Dr. Müller, 2009

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - In the system test of automatic train protectionsystem EBICAB 2000 DES, the telegrams and bus dataare being recorded and afterwards stored in adatabase for further evaluation and analysis,approximately 350.000 of single signals every minuteof a test. A client/server concept has been developedand implemented in order to prepare and reduce thedata in such a way, that only significant values changes will be filtered out for evaluation. Theexisting protocol data analysis function has to beextended in the way that the analysis could be runautomatically. The intent is to simplify, accelerateand make safer the visual data analysis, performed bytesters. The comparison between recorded log data andexpected reactions has to be performed, producing theresult in a form of test passed or test failed .The creation and implementation of mentionedextension is the purpose of this work.

Seller Inventory # 9783639114751

Bibliographic Details

• Title: Automated Protocol Data Analysis : Automation at Different Test Levels for Automatic Train Protection Systems
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639114752
• ISBN 13: 9783639114751
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 176H x 33D millimeters 220 millimeters width by 176 millimeters height by 33 millimeters depth
• Weight: 130 grams

About this title

Synopsis

In the system test of automatic train protection system EBICAB 2000 DES, the telegrams and bus data are being recorded and afterwards stored in a database for further evaluation and analysis, approximately 350.000 of single signals every minute of a test. A client/server concept has been developed and implemented in order to prepare and reduce the data in such a way, that only significant values¿ changes will be filtered out for evaluation. The existing protocol data analysis function has to be extended in the way that the analysis could be run automatically. The intent is to simplify, accelerate and make safer the visual data analysis, performed by testers. The comparison between recorded log data and expected reactions has to be performed, producing the result in a form of ¿test passed¿ or ¿test failed¿. The creation and implementation of mentioned extension is the purpose of this work.

About the Author

Valentin Shevchenko, 27 years old, has been studying ¿Applied Mathematics and Informatics¿ ten years ago in Russia, following with the Master Course ¿Communication and Media Engineering¿ in Germany. Having two and a half years experience as software quality engineer in the area of CAD software, he is now challenging the CRM area as test consultant.