Software defect prediction proactively highlights critically vulnerable elements for a software system. Recent attempts in this domain have tried various machine learning techniques to automate and improve software defect prediction. It has been observed that recent research focusses on specific types of software and hence the solution is not suitable for all kind of software products.

Without air, humanity could not possibly survive. Air quality is negatively affected by continuous changes in almost every area of modern human civilization, posing a threat to sustainable development. By integrating sustainable practices into air quality monitoring and forecasting, we can aim to minimize the generation of risky contaminants and reduce the total environmental footprint of transportation, business, and home approaches.

In order to keep current customers, the organization in the telecommunications sector must focus on one of the very important research areas: customer churn identification. Customer attrition known as churn occurs when rivals discontinue selling certain products or services, or possibly when network issues arise.

It has always been challenging to collaborate when managing medical records, which leads to disjointed patient records and ineffective healthcare delivery. Promising against these challenges is the Solana blockchain, which is renowned for its abundant resources and inexpensive transaction fees.