Nov 21, 2021 · In this paper, we set out to investigate the consistency and reliability of model-agnostic technique based explanation generation approaches.
Nov 21, 2021 · In this paper, we set out to investigate the reliability and stability of explanation generation approaches based on model-agnostic techniques, ...
This paper conducts the first empirical study to explore the explainability of these model-agnostic techniques on just-in-time bug prediction models.
This paper conducts the first empirical study to explore the explainability of these model-agnostic techniques on just-in-time bug prediction models.
Software Defect Prediction (SDP) plays a very important role in predicting whether software modules are defective based on some extracted software features [1], ...
Missing: Explainable | Show results with:Explainable
Explainable Just-In-Time Bug Prediction: Are We There Yet?
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May 23, 2021 · Specifically, this study takes a three-step approach, 1) replicating previously widely used just-in-time bug prediction models, 2) applying ...
Specifically, this study takes a three- step approach, 1) replicating previously widely used just-in-time bug prediction models, 2) applying Local ...
Missing: Defect | Show results with:Defect
Explaining the prediction results of software bug prediction models is a challenging task, which can provide useful information for developers to understand ...
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Apr 5, 2024 · Explainable Just-In-Time Bug Prediction: Are We There Yet? ... To address this problem, we propose sample-based methods for software defect ...
Nov 2, 2023 · Software defect prediction (SDP) plays a significant role in detecting the most likely defective software modules and optimizing the ...