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Root-cause analysis of software bugs using machine-learning techniques

Root cause analysis (RCA) is a systematic process for identifying “root causes” of problems or events and an approach for responding to them.

In this white paper we propose a machine learning(ML) approaches for finding root cause of a newly filed software bug which in turn would help in the faster and cleaner resolution. One of these ML solutions approach to help predict the root cause of a filed bug beforehand would be based on the description and logs. Knowing the root cause may help fix the problem at its source. This would help in saving resources, assign the right developer and result in an efficient software system or product. Download the full white paper for more.

You can work with a company built for now. Or you can work with one improving software development using the machine learning techniques of tomorrow.