C
Christian Landrault
Researcher at University of Montpellier
Publications - 105
Citations - 1985
Christian Landrault is an academic researcher from University of Montpellier. The author has contributed to research in topics: Automatic test pattern generation & Fault coverage. The author has an hindex of 23, co-authored 105 publications receiving 1959 citations.
Papers
More filters
Proceedings ArticleDOI
Dynamic Two-Cell Incorrect Read Fault Due to Resistive-Open Defects in the Sense Amplifiers of SRAMs
TL;DR: This paper presents an analysis of resistive-open defects in the sense amplifier of SRAMs designed with the Infineon 65 nm technology, and modeled as a dynamic two-cell Incorrect Read Fault (d2cIRF), which requires a specific sequence of read operations to be detected.
Journal ArticleDOI
A Gated Clock Scheme for Low Power Testing of Logic Cores
Yannick Bonhomme,Patrick Girard,Loïs Guiller,Christian Landrault,Serge Pravossoudovitch,Arnaud Virazel +5 more
TL;DR: This paper presents a general approach for minimizing power consumption during test of integrated circuits or embedded cores based on a gated clock scheme that can be used in a test-per-scan or a test -per-clock environment.
Journal ArticleDOI
A Scan-BIST Structure to Test Delay Faults in Sequential Circuits
TL;DR: A novel approach to the delay fault testing problem in scan-based sequential circuits is proposed, based on the combination of a BIST structure with a scan- based design to apply delay test pairs to the circuit under test.
Proceedings ArticleDOI
An alternative to fault simulation for delay-fault diagnosis
TL;DR: A new method for delay fault diagnosis, based on critical path tracing from a symbolic simulation, is presented, which needs to consider only the fault-free circuit and provides perfectly reliable results.
Journal ArticleDOI
Delay fault diagnosis in sequential circuits based on path tracing
TL;DR: The principle of the proposed method, based on a path tracing algorithm, is given and new concepts for improving path tracing in the proposed diagnosis process (identification of self-masking) are presented.