4/2/2023 0 Comments Predictive writing software![]() ![]() These SDP models are being built based on machine learning (ML) algorithms that use metric suits as the independent variables (features). The main objective of SDP models is to predict the defect proneness of a module in newly developed software. The motivation behind building SDP models is that it reduces the workload on the test team by reducing the testing time of software modules and, consequently, it reduces the total project’s budget (Fenton and Neil, 1999, Challagulla et al., 2005).īecause of such advantages, research on building SDP models is attracted by both academia and the software industry. To mitigate such challenges, automation tools such as software defect prediction (SDP) models are being developed (Lessmann et al., 2008, Monperrus, 2018, Wu et al., 2018). ![]() In addition to that, the test team has to put more effort into achieving the correct behaviour of the developed software by removing/modifying the defective modules. Due to the enormous increase in building large-scale complex software systems, with the limited available resources such as manpower and cost, achieving the project goals within the deadlines is a challenging task (Song et al., 2011, Wong et al., 2016). ![]() Building reliable software is the ultimate goal for the project management team (Lyu et al., 1996). ![]()
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