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In this paper we perform a systematical empirical study on the combination of SBFL and SD. We first build a unified model of the two techniques.
Combining Spectrum-Based Fault Localization and Statistical Debugging: An Empirical Study · Jiajun Jiang, Ran Wang, +2 authors. Lu Zhang · Published in ...
Jan 18, 2020 · An effective integration between testing and debugging should address how well testing and fault localization can work together productively. In ...
In this paper we perform a systematical empirical study on the combination of SBFL and SD. We first build a unified model of the two techniques.
According to our empirical study, we propose a new fault localization approach, PREDFL (Predicate-based Fault Localization), with the best configuration for ...
Feb 7, 2020 · In this paper we perform a systematical empirical study on the combination of SBFL and SD. We first build a unified model of the two techniques, ...
Abstract—The performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide ...
Manual debugging is notoriously tedious and time-consuming. Therefore, various automated fault localization techniques have been proposed to help with ...
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Results reveal that a combined technique significantly outperforms any individual technique, suggesting that combination may be a desirable way to apply ...
In this work, our objective is to analyze the effectiveness of popular SBFL techniques in real-world Python projects.