432 citations · 5.8k across the 150 of their papers we have counts for
6 papers · 1 filter
Ultra-Large Repair Search Space with Automatically Mined Templates: the Cardumen Mode of Astor
Matias Martinez, Martin Monperrus
Astor is a program repair library which has different modes. In this paper, we present the Cardumen mode of Astor, a repair approach based mined templates that has an ultra-large s…
A generative model for sparse, evolving digraphs
Georgios Papoudakis, Philippe Preux, Martin Monperrus
Generating graphs that are similar to real ones is an open problem, while the similarity notion is quite elusive and hard to formalize. In this paper, we focus on sparse digraphs a…
Exhaustive Exploration of the Failure-oblivious Computing Search Space
Thomas Durieux, Youssef Hamadi, Zhongxing Yu +2
High-availability of software systems requires automated handling of crashes in presence of errors. Failure-oblivious computing is one technique that aims to achieve high availabil…
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
Martin White, Michele Tufano, Matias Martinez +2
In the field of automated program repair, the redundancy assumption claims large programs contain the seeds of their own repair. However, most redundancy-based program repair techn…
A Snowballing Literature Study on Test Amplification
Benjamin Danglot, Oscar Luis Vera-Pérez, Zhongxing Yu +3
The adoption of agile development approaches has put an increased emphasis on developer testing, resulting in software projects with strong test suites. These suites include a larg…
Test Case Generation for Program Repair: A Study of Feasibility and Effectiveness
Zhongxing Yu, Matias Martinez, Benjamin Danglot +2
Among the many different kinds of program repair techniques, one widely studied family of techniques is called test suite based repair. Test-suites are in essence input-output spec…