Mining Numerical Relations for Improving Software Reliability
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- @InProceedings{Zhang:2021:ISSREW,
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author = "Bo Zhang",
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title = "Mining Numerical Relations for Improving Software
Reliability",
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booktitle = "2021 IEEE International Symposium on Software
Reliability Engineering Workshops (ISSREW)",
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year = "2021",
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pages = "310--313",
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month = oct,
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keywords = "genetic algorithms, genetic programming, SBSE,
Computer bugs, Reliability engineering, Software, Data
mining, Software reliability, program invariants,
search-based method",
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DOI = "doi:10.1109/ISSREW53611.2021.00093",
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abstract = "This research aims to mine numerical relations from
programs and use the relations to improve program
reliability. We focus on two types of numerical
relations: relations from program inputs and outputs
(i.e., metamorphic relations) and workflow relations
from software logs. For metamorphic relations from
program inputs and outputs, we design two approaches:
for polynomial relations, we propose a method to
firstly parameterize the metamorphic relations, then
use search-based method to find the suitable
parameters; for general forms of numerical relations,
we plan to adopt genetic programming techniques which
have the potential to evolve and produce relations of
various types. For workflow relations from program
logs, we parse the raw logs to event sequences and
propose an approach to mine numerical relations from
the event-count-matrix of the sequences. To improve
software reliability, the mined metamorphic relations
can be used to detect bugs and the mined workflow
relations can be used to detect anomalies.",
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notes = "Also known as \cite{9700211}",
- }
Genetic Programming entries for
Bo Zhang
Citations