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Schnappinger, Markus
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1

On Machine Learning Assisted Software Maintainability Asses..:

Schnappinger, Markus , 2023
Link: http://nbn-resolving.de/..
 
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2

Revisiting Inter-Class Maintainability Indicators:

, In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),
Gregor, Lena ; Schnappinger, Markus ; Pretschner, Alexander - p. 805-814 , 2023
Link: https://doi.org/10.1109/..
 
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3

A Preliminary Study on Using Text- and Image-Based Machine ..:

, In: Software Quality: The Next Big Thing in Software Engineering and Quality; Lecture Notes in Business Information Processing,
Schnappinger, Markus ; Zachau, Simon ; Fietzke, Arnaud. - p. 41-60 , 2022
Link: https://doi.org/10.1007/..
 
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4

Build System Aware Multi-language Regression Test Selection..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP),
Elsner, Daniel ; Wuersching, Roland ; Schnappinger, Markus... - p. 87-96 , 2022
Link: https://doi.org/10.1145/..
 
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5

Probe-based Syscall Tracing for Efficient and Practical Fil..:

, In: 2022 IEEE/ACM International Conference on Automation of Software Test (AST),
Elsner, Daniel ; Wuersching, Roland ; Schnappinger, Markus. - p. 126-137 , 2022
Link: https://doi.org/10.1145/..
 
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6

Probe-based syscall tracing for efficient and practical fil..:

, In: Proceedings of the 3rd ACM/IEEE International Conference on Automation of Software Test,
Eisner, Daniel ; Wuersching, Roland ; Schnappinger, Markus. - p. 126-137 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Build system aware multi-language regression test selection..:

, In: Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice,
Elsner, Daniel ; Wuersching, Roland ; Schnappinger, Markus... - p. 87-96 , 2022
Link: https://dl.acm.org/doi/1..
 
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8

Human-level Ordinal Maintainability Prediction Based on Sta..:

, In: Evaluation and Assessment in Software Engineering,
Schnappinger, Markus ; Fietzke, Arnaud ; Pretschner, Alexander - p. 160-169 , 2021
Link: https://dl.acm.org/doi/1..
 
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9

Defining a Software Maintainability Dataset: Collecting, Ag..:

, In: 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME),
Schnappinger, Markus ; Fietzke, Arnaud ; Pretschner, Alexander - p. 278-289 , 2020
Link: https://doi.org/10.1109/..
 
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10

Learning a classifier for prediction of maintainability bas..:

, In: Proceedings of the 27th International Conference on Program Comprehension,
Schnappinger, Markus ; Osman, Mohd Hafeez ; Pretschner, Alexander. - p. 243-248 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

Software quality assessment in practice : a hypothesis-d..:

, In: Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement,
Schnappinger, Markus ; Osman, Mohd Hafeez ; Pretschner, Alexander.. - p. 1-6 , 2018
Link: https://dl.acm.org/doi/1..
 
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12

The role of cats and dogs in asthma and allergy – a systema..:

Chen, Chih-Mei ; Tischer, Christina ; Schnappinger, Markus.
International Journal of Hygiene and Environmental Health.  213 (2010)  1 - p. 1-31 , 2010
Link: https://doi.org/10.1016/..
 
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13

Fish Consumption, Allergic Sensitisation and Allergic Disea..:

Schnappinger, Markus ; Sausenthaler, Stefanie ; Linseisen, Jakob..
Annals of Nutrition & Metabolism.  54 (2009)  1 - p. 67-74 , 2009
Link: https://www.jstor.org/st..
 
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14

Waste Related to the Food Industry: A Challenge in Material..:

, In: Utilization of By-Products and Treatment of Waste in the Food Industry,
Russ, Winfried ; Schnappinger, Markus - p. 1-13 ,
Link: https://doi.org/10.1007/..
 
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15

On Machine Learning Assisted Software Maintainability Asses..:

Schnappinger, Markus
https://mediatum.ub.tum.de/1687123.  , 2023
Link: https://mediatum.ub.tum...
 
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