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Johanna Schneider

dblp:150/8947 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2014
0000-0003-0661-6984ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Debugging and program repair · 77% Requirements engineering and software design · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Debugging and program repair
fault localization
0.422014
Determining the most probable root causes of run-time errors in simulink models · ASE 2014
Tracking down root causes of defects in simulink models · ASE 2014
Debugging and program repair
root cause analysis
0.422014
Determining the most probable root causes of run-time errors in simulink models · ASE 2014
Tracking down root causes of defects in simulink models · ASE 2014
Requirements engineering and software design
model-driven engineering
0.122014
Determining the most probable root causes of run-time errors in simulink models · ASE 2014
Tracking down root causes of defects in simulink models · ASE 2014
Requirements engineering and software design › model-driven engineering
simulink models
0.122014
Determining the most probable root causes of run-time errors in simulink models · ASE 2014
Tracking down root causes of defects in simulink models · ASE 2014

Methods — techniques the papers use, named apart from their topics

path weighting · 0.4backward search · 0.4
YearPublicationVenuePosition
2014 Tracking down root causes of defects in simulink models
abstract
Being confronted with a defect in software leads to the well known task: correcting the software such that the defect does not occur anymore. Here, the location of the defect and the corresponding root cause do not have to be identical. Thus, before any correction can be done, the reviewer has to detect the root cause for the defect. In order to reduce the reviewing effort, this paper presents a method to automatically narrow down possible root causes for defects found in Simulink models. Starting at a defect location, a backward search is applied to detect all paths leading to that defect. Each path is weighted by previously determined weights depending on the block types contained in the respective path. This weighting correlates with the probability of a path containing the root cause.
Johanna Schneider
ASE1
2014 Determining the most probable root causes of run-time errors in simulink models
abstract
Being confronted with a defect in software leads to the well known task: correcting the software such that the defect does not occur anymore. Here, the location of the defect and the corresponding root cause do not have to be identical. Thus, before any correction can be done, the reviewer has to detect the root cause for the defect. In order to reduce the reviewing effort, this approach presents a method to automatically narrow down possible root causes for defects found in Simulink models. Starting at a defect location, a backward search is applied to detect all paths leading to that defect. Each path is weighted by previously determined weights depending on the block types contained in the respective path. This weighting correlates with the probability of a path containing the root cause.
Johanna Schneider
ASE1