Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction

Repositories of large software systems have become commonplace. This massive expansion has resulted in the emergence various problems these platforms including identification (i) bug-prone packages, (ii) critical bugs, and (iii) severity bugs. One important goals would be to mine bugs recommend them developers resolve them. The first step this is that one accurately detect extent In paper, we take up task predicting near future. Contextualized neural models built on text description a bug user comments about help achieve reasonably good performance. Further information how are related each other terms ways they affect packages can summarised form graph used along with get additional benefits.