Computational Experiments for Automatic Program Repair, Projet SELFHEALING, Prof Monperrus
Title: Computational Experiments for Automatic Program Repair, Projet SELFHEALING, Prof Monperrus
SNIC Project: SNIC 2020/5-668
Project Type: SNIC Medium Compute
Principal Investigator: Martin Monperrus <martin.monperrus@csc.kth.se>
Affiliation: Kungliga Tekniska högskolan
Duration: 2021-01-01 – 2022-01-01
Classification: 10201
Homepage: https://www.monperrus.net/martin/
Keywords:

Abstract

The vision of project WASP SELF-HEALING is a world where software-intensive systems are reliable despite the openness and unpredictability of the environment. Today, the best-of-breed of software engineering techniques cannot achieve both at the same time. We know how to build ultra-reliable software in stable and closed environments such as a nuclear power plant. We know how to build software that runs in ultra-open environments, such as Android mobile applications that run on millions on different ultra-heterogeneous devices. But we do not know how to achieve both in conjunction and this is a problem: most systems today, from peer-to-peer systems à la Bitcoin to autonomous transportation systems must be reliable yet evolve in a fundamentally open and unpredictable world. The goal of project WASP SELF-HEALING is to devise a conceptual, theoretical and algorithmic framework for enabling the construction of software that is reliable in open and unpredictable environments. List of references: Automatic Software Repair: a Bibliography (Martin Monperrus), In ACM Computing Surveys, Association for Computing Machinery, volume 51, 2017. Automatic Repair of Real Bugs in Java: A Large-Scale Experiment on the Defects4J Dataset (Matias Martinez, Thomas Durieux, Romain Sommerard, Jifeng Xuan and Martin Monperrus), In Empirical Software Engineering, Springer Verlag, volume 22, 2017.