CRC 1404/1: Debugging Distributed Data Analysis Workflows (SP B03)

Like other software, DAWs may show unexpected behaviour or even crash due to various reasons. Debugging aims at establishing a cause effect relationship between the observable problem and the actual error. Such error identification serves as an initial step of a reliable problem resolution, and thus debugging of DAWs is an indispensable task to increase the dependability of DAWs. However, debugging DAWs is particularly challenging due to the heterogeneous nature of the involved tasks and the distributed nature of the execution engine. The central research question addressed in this subproject is how to enable domain scientists to efficiently formulate, test, and refine a debugging hypothesis in the context of scientific software engineering. It will primarily work together with A03 on the adaptation of software test technologies to distributed DAWs and with B06 on the distributed monitoring of DAW executions. The subproject will be coordinated by Prof. Kehrer, an expert in model-based software development, and Prof. Markl, an expert in large-scale distributed data analytics.

Principal Investigators
Kehrer, Timo Prof. Dr. (Details) (Modelbased Software Development)

Participating external organizations

Duration of Project
Start date: 07/2020
End date: 06/2024

Research Areas
Massively Parallel and Data-Intensive Systems, Operating, Communication, Database and Distributed Systems, Software Engineering and Programming Languages

Last updated on 2021-22-07 at 13:55