Explainable Release Risk Prediction Using Multimodal Engineering Signals

Anil Kumar Kunda

Explainable Release Risk Prediction Using Multimodal Engineering Signals

Authors

Anil Kumar Kunda

Keywords:

Explainable AI (XAI), Just-In-Time Defect Prediction, Multimodal Fusion, Software Engineering Signals, Release Risk, SHAP, LIME, Deep Learning.

Abstract

Software release risk prediction has ceased to be a simple and bare-bones affair relying onsimplistic methods of static analysis and instead advanced and deep learning-based approaches, employing multimodal engineering signals

References

Esteves, G., Figueiredo, E., Veloso, A., Viggiato, M., & Ziviani, N. (2020). Understanding machine learning software defect predictions. Automated Software Engineering, 27, 369-392. https://doi.org/10.1007/s10515-020-00277-4

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Published

2024-03-18

How to Cite

Anil Kumar Kunda. (2024). Explainable Release Risk Prediction Using Multimodal Engineering Signals . Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1343–1358. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4853