CRC 1404/1: Deriving Trust Levels for Multi-Choice Data Analysis Workflows (SP A03)

DAWs often contain series of analysis tasks where for each task a multitude of possible programs exist (multi-choice DAW). A comprehensive characterization of the input data often requires executing several of these programs to combine their respective strengths and avoid their specific weaknesses. However, running all configurations often is not feasible, which raises the problem of finding the best possible combination to increase dependability and to maximize accuracy. A03 will approach this problem by adapting proven quality assurance and software testing techniques to the specific issues in multi-choice DAWs. Important cooperations exist with A06, which also analyzes variants of DAWs, and with B03 in the field of software test techniques for DAWs. A03 is an interdisciplinary project and will develop its methods for the problem of computing physical properties of simulated new materials at extremely large-scale. The subproject will be carried out by Prof. Draxl, one of the main initiators of the NOMAD project, a worldwide unique large-scale repository of comprehensively characterized materials, and Prof. Grunske, an expert in search-based derivation of test cases and robustness esti-mates for complex software systems.

Principal Investigators
Draxl, Claudia Prof. Dr. Dr. h.c. (Details) (Theoretical Physics / Solid State Theory)
Grunske, Lars Prof. Dr. (Details) (Software Engineering)

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

Research Areas
Software Engineering and Programming Languages, Theoretical Condensed Matter Physics

Last updated on 2021-22-07 at 13:31