As software takes over more and more functionalities in embedded and safety-critical systems, bugs may endanger the safety of human beings and of the environment, or entail heavy financial losses. In spite of the development of verification and testing techniques, debugging still plays a crucial part in the arsenal of the software developer. Unfortunately, usual debugging techniques do not scale to large concurrent and distributed systems: they fail to provide precise and efficient means to inspect and analyze large concurrent executions; they do not provide means to automatically reveal software faults that constitute actual causes for errors; and they do not provide succinct and relevant explanations linking causes (software bugs) to their effects (errors observed during execution).
The overall objective of the project is to develop a semantically well-founded, novel form of concurrent debugging, which we call "causal debugging'', that aims to alleviate the deficiencies of current debugging techniques for large concurrent software systems.
Briefly, the causal debugging technology developed by the DCore project will comprise and integrate two main novel engines:
1. A reversible execution engine that allows programmers to backtrack and replay a concurrent or distributed program execution, in a way that is both precise and efficient (only the exact threads involved by a return to a target anterior or posterior program state are impacted);
2. a causal analysis engine that allows programmers to analyze concurrent executions, by asking questions of the form "what caused the violation of this program property?'', and that allows for the precise and efficient investigation of past and potential program executions.
The project will build its causal debugging technology on results obtained by members of the team, as part of the past ANR project REVER, on the causal semantics of concurrent languages, and the semantics of concurrent reversible languages, as well as on recent works by members of the project
on abstract interpretation, causal explanations and counterfactual causal analysis.
The project primarily targets multithreaded, multicore and multiprocessor software systems, and functional software errors, that is errors that arise in concurrent executions because of faults (bugs) in software that prevents it to meet its intended function. Distributed systems, which can be impacted by network failures and remote site failures are not an immediate target for DCore, although the technology developed by the project should constitute an important contribution towards full-fledged distributed debugging. Likewise, we do not target performance or security errors, which come with specific issues and require different levels of instrumentation, although the DCore technology should prove a key contribution in these areas as well.
Monsieur Gregor Goessler (Centre de Recherche Inria Grenoble - Rhône-Alpes)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
IRIF Institut de Recherche en Informatique Fondamentale
Inria Paris Centre de Recherche Inria de Paris
Inria Grenoble Rhône-Alpes Centre de Recherche Inria Grenoble - Rhône-Alpes
Help of the ANR 605,686 euros
Beginning and duration of the scientific project: March 2019 - 48 Months