Data mining is a rapidly expanding field in many industries. Data mining techniques have been used in a number of industries, including intrusion detection, advertisement, entertainment, manufacturing, process control, fraud detection, security and network administration. Data mining is often seen by modern corporations as an increasingly important method for turning data into business intelligence that gives them a competitive advantage. Further, the expanding multidisciplinary subject of data mining includes many different disciplines, including statistical database technology, artificial intelligence, machine learning, pattern recognition, data visualization, and high-performance parallel computing. There are numerous potential uses for it. Apart from above stated disciplines, one of the most useful research fields for data mining is software engineering. This study illustrates the systematic literature review carried out to analysis and describes the utilization of data mining techniques in various phases of software development life cycle.

Data Mining, Data mining techniques, Software development life cycle (SDLC), Software Engineering (SE),