Publications associées à Régression logicielle

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Jan Sickmann Hesthaven, Niccolo' Discacciati

We propose a local, non -intrusive model order reduction technique to accurately approximate the solution of coupled multi -component parametrized systems governed by partial differential equations. Our approach is based on the approximation of the boundar ...

Elsevier Science Sa2024

Latency Interfaces for Systems Code

Rishabh Ramesh Iyer

This thesis demonstrates that it is feasible for systems code to expose a latency interface that describes its latency and related side effects for all inputs, just like the code's semantic interface describes its functionality and related side effects. S ...

EPFL2023

FISHFUZZ: Catch Deeper Bugs by Throwing Larger Nets

Mathias Josef Payer, Flavio Toffalini, Han Zheng, Yuqing Zhang, Jiayuan Zhang

Fuzzers effectively explore programs to discover bugs. Greybox fuzzers mutate seed inputs and observe their execution. Whenever a seed reaches new behavior (e.g., new code or higher execution frequency), it is stored for further mutation. Greybox fuzzers d ...

Usenix Assoc2023

Performance Interfaces for Network Functions

George Candea, Rishabh Ramesh Iyer, Aikaterini Argyraki

Modern programmers routinely use third-party code, and infrastructure operators deploy software they did not write. This would not be possible without semantic interfaces---documentation, header files, specifications---that succinctly describe what that th ...

USENIX Association2022

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

Mathias Josef Payer

Fuzzing is the de-facto default technique to discover software flaws, randomly testing programs to discover crashing test cases. Yet, a particular scenario may only care about specific code regions (for, e.g., bug reproduction, patch or regression testing) ...

ASSOC COMPUTING MACHINERY2022

EaRL: An Open-Source Software for Earthquake Risk, Loss and Lifecycle Assessment

Dimitrios Lignos, Ahmed Mohamed Ahmed Elkady

Evaluating earthquake-induced losses, such as structural repair costs, downtime and casualties, is becoming a standard practice within the performance-based earthquake engineering framework. Nonetheless, this evaluation is a demanding task that requires de ...

2021

Compilation and Code Optimization for Data Analytics

Amir Shaikhha

The trade-offs between the use of modern high-level and low-level programming languages in constructing complex software artifacts are well known. High-level languages allow for greater programmer productivity: abstraction and genericity allow for the same ...

EPFL2018

Asynchronous Byzantine Machine Learning (the case of SGD)

Rachid Guerraoui, Mahsa Taziki, El Mahdi El Mhamdi, Rhicheek Patra, Georgios Damaskinos

Asynchronous distributed machine learning solutions have proven very effective so far, but always assuming perfectly functioning workers. In practice, some of the workers can however exhibit Byzantine behavior, caused by hardware failures, software bugs, c ...

2018

Automated Debugging for Arbitrarily Long Executions

George Candea, Edouard Bugnion, Johannes Kinder, Cristian Zamfir, Baris Can Cengiz Kasikci

One of the most energy-draining and frustrating parts of software development is playing detective with elusive bugs. In this paper we argue that automated post-mortem debugging of failures is feasible for real, in-production systems with no runtime record ...

2013

An Integrated Framework for Improving the Quality and Reliability of Software Upgrades

Olivier Crameri

Despite major advances in the engineering of maintainable and robust software over the years, upgrading software remains a primitive and error-prone activity. In this dissertation, we argue that several problems with upgrading software are caused by a poor ...

EPFL2011