2021
DOI: 10.21203/rs.3.rs-535094/v1
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A Microservice Regression Testing Selection Approach Based on Belief Propagation

Abstract: Regression testing is required in each iteration of microservice systems. Regression testing selection, which reduces testing costs by selecting a subset from the original test cases, is one of the main techniques to optimize regression testing. Existing techniques mainly rely on the information retrieved from artifacts such as code files and system models. For microservice systems with service autonomy, development method diversity and a large amount of services, such artifacts are too difficultly obtained an… Show more

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Cited by 1 publication
(2 citation statements)
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“…• F-measure: F-measure is detailed as the harmonic mean of recalls and precision metrics which is given in equation (25).…”
Section: Evaluation Metricsmentioning
confidence: 99%
See 1 more Smart Citation
“…• F-measure: F-measure is detailed as the harmonic mean of recalls and precision metrics which is given in equation (25).…”
Section: Evaluation Metricsmentioning
confidence: 99%
“…As a result, in RTS studies, change effect analysis is required to choose the predicted test cases. According to the state of the art in regressing testing research, most RTS techniques require artifacts such as requirements, design models, and code files to determine which test cases are affected by the modifications [15]. Contribution to the paper and its structure:…”
Section: Introductionmentioning
confidence: 99%