When a program fails to process an input, it need not be the program code that is at fault. It can also be that the input data is faulty, for instance as result of data corruption. To get the data processed, one then has to debug the input data—that is,
- identify which parts of the input data prevent processing, and
- recover as much of the (valuable) input data as possible.
In this paper, we present a general-purpose algorithm called ddmax that addresses these problems automatically. Through experiments, ddmax maximizes the subset of the input that can still be processed by the program, thus recovering and repairing as much data as possible; the difference between the original failing input and the “maximized” passing input includes all input fragments that could not be processed. To the best of our knowledge, ddmax is the first approach that fixes faults in the input data without requiring program analysis. In our evaluation, ddmax repaired about 69% of input files and recovered about 78% of data within one minute per input.
Thu 9 Jul Times are displayed in time zone: (UTC) Coordinated Universal Time change
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Learning-to-Rank vs Ranking-to-Learn: Strategies for Regression Testing in Continuous IntegrationTechnical
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Lukas KirschnerSaarland University, Ezekiel O. SoremekunCISPA Helmholtz Center for Information Security, Andreas ZellerCISPA Helmholtz Center for Information SecurityLink to publication DOI Pre-print
|07:24 - 07:36|
Mingyu ParkLG Electronics, Hoon JangHyundai Motor Company, Taejoon ByunUniversity of Minnesota, Yunja ChoiKyungpook National UniversityPre-print
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