Publications and public project documentation prepared in the frame of MaMMoTH-Up are listed below. Where possible, we provide respective documents in PDF-format.


Riccardo Cantoro, Eugenio Cetrulo, Ernesto Sanchez, Matteo Sonza Reorda and Antonio Voza
Automated Test Program Reordering for Efficient SBST
XXXII Conference on Design of Circuits and Integrated Systems, Nov. 2017. To appear.

Riccardo Cantoro, Ernesto Sanchez, Matteo Sonza Reorda, Giovanni Squillero and Emanuele Valea
On the Optimization of SBST Test Program Compaction
IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Oct. 2017. To appear.

Meß, J.-G. and Schmidt, R. and Fey, G.
Adaptive Compression Schemes for Housekeeping Data
IEEE Aerospace Conference (AEROCONF), Mar. 2017.

Aydos, G. and Fey, G.
Empirical results on parity-based soft error detection with software-based retry
Microprocessors and Microsystems (MICPRO), Sep. 2016.

Meß, J.-G. and Schmidt, R. and Fey, G. und Dannemann, F.
On the Compression of Spacecraft Housekeeping Data using Discrete Cosine Transforms
ESA International Workshop on Tracking, Telemetry and Command Systems for Space Applications, Sep. 2016.

Avramenko, S. and Sonza Reorda, M. and Violante, M. and Fey, G. and Meß, J.-G. and Schmidt, R.
On the robustness of compression algorithms for space applications
IEEE International On-Line Testing Symposium (IOLTS), Jul. 2016.

Avramenko, S. and Sonza Reorda, M. and Violante, M. and Fey, G.
On the analysis of the effects of soft errors on compression algorithms
Proceedings of the 2016 IEEE Latin American Test Symposium (LATS), Apr. 2016.

Aydos, G. and Fey, G.
Exploiting Error Detection Latency for Parity-based Soft Error Detection
Proceedings of the IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), Apr. 2016.


Project Documentation

pdf-iconReport on Preliminary System Architecture

pdf-iconReport on proposed dependability evaluation techniques

pdf-iconReport on Fault Injection and Self-Testing on a Selected Case Study