A New Data Mining-Based Framework to Test Case Prioritization Using Software Defect Prediction

Literature Review

SDLC is a process of designing, implementing and modifying software. Software development is a human process; it is quite obvious that it is difficult to develop completely fault-free software. Moreover, software complexity and many other constraints may introduce or raise more errors. The SDP is used at the earliest stage of the development in order to reduce development and maintenance costs, effort, customer dissatisfaction, and project failure. In this section, we review some of the previous works on SDP and test case prioritization techniques. For this purpose, the concepts of data mining and SDP are combined to introduce the SDP data mining technique. Data mining is an approach for finding useful knowledge and common patterns in different data sources involving data transactions, databases and data warehouses. The main goal of the data mining process is to extract useful and meaningful information from large amounts of data. Moreover, software metrics as an indicator for defective modules; regression testing techniques and evaluation metrics; test case prioritization using data mining techniques are also introduced.