• Dr.Rakesh Kumar Giri

- The biggest challenge in today's software development environment has unavoidably remained the need for efficiency and quality in the delivery of all software engineering artifacts. While everyone complies with intricate software engineering procedures, the market anticipates new releases almost every day. In order to meet market demands, a number of Artificial Intelligence (AI) techniques have been developed and are now widely used in the modern software engineering sector. The preliminary findings of our review work on software bug detection and prediction studies using AI techniques are presented in this paper. Our main goals are to (i) identify factors that affect the performance of current software bug detection and prediction techniques and (ii) determine the efficacy of AI techniques in enhancing those techniques. According to the evidence, the software engineering field has made use of artificial intelligence methods and tools to simplify the challenging tasks of software bug detection and bug prediction. It primarily demonstrates the importance of combining artificial intelligence with the field of software engineering in terms of decreased administrative burden and effective outcomes to raise the caliber of software products.

Artificial Intelligence, Software Engineering, Bug Detection and Prediction

"SOFTWARE BUG DETECTION AND PREVENTION BY ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.331-338, December-2018, Available :http://www.jetir.org/papers/JETIR1812E68.pdf

"SOFTWARE BUG DETECTION AND PREVENTION BY ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp331-338, December-2018, Available at : http://www.jetir.org/papers/JETIR1812E68.pdf