Return to search

A Multi-Language Goal-Tree Based Functional Test Planning System

Test plans are used to guide, organize and document the testing activities during hardware design process. Manual test planning and configuration is known to be labor intensive, time consuming and error prone. It is desirable to develop efficient approaches to model testing and to develop test tools to automate test-planning activities.

With the emergence of new hardware design paradigms, there is a need to develop more specialized description languages. However, adopting a new language for hardware-based designs involves adapting the existing design and verification tool suite for the new language. This is a very time consuming and capital intensive process. To ease the adoption of new description languages, it is desirable to develop multi-language support methodologies for design and test tools.

This thesis addresses a subset of these problems. It presents a goal-tree based test methodology which is very effective for functional testing of hardware models in multiple application domains. Then it describes an approach for achieving a high degree of language independence using ideas of data abstraction. It also presents an automated test-planning tool called the "Goal Tree System (GTS)", which provides an implementation of goal tree methodology and multi-language support ideas. We demonstrate the use of this tool by testing models developed in VHDL and SystemC. We also present the design aspects of the Goal Tree System, which enable it to work across multiple platforms and with multiple simulators. / Master of Science

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/34487
Date19 August 2002
CreatorsMahajan, Rajneesh
ContributorsElectrical and Computer Engineering, Armstrong, James R., Gray, Festus Gail, Ha, Dong Sam
PublisherVirginia Tech
Source SetsVirginia Tech Theses and Dissertation
Detected LanguageEnglish
TypeThesis
Formatapplication/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/
Relationthesis.pdf

Page generated in 0.002 seconds