A trustworthy hybrid model for transparent software defect prediction: SPAM-XAI
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DOI: 10.1371/journal.pone.0307112
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References listed on IDEAS
- Somya Goyal, 2022. "Effective software defect prediction using support vector machines (SVMs)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 681-696, April.
- Rashid Naseem & Bilal Khan & Arshad Ahmad & Ahmad Almogren & Saima Jabeen & Bashir Hayat & Muhammad Arif Shah, 2020. "Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects," Complexity, Hindawi, vol. 2020, pages 1-21, November.
- Kun Song & ShengKai Lv & Die Hu & Peng He, 2021. "Software Defect Prediction Based on Elman Neural Network and Cuckoo Search Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, November.
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