Sentence examples for defect prediction from inspiring English sources

Software defect prediction predicts fault-prone modules which will be tested thoroughly.

Without sufficient local data, defects can be predicted via cross-project defect prediction (CPDP) utilizing data from other projects to build a classifier.

Minimizing these adverse effects using software defect prediction models via guiding testers with defective parts of software system is an attractive research area.

While there has been many research efforts on discovering more predictive software metrics and more effective defect prediction algorithms, the cost-effectiveness of the QA resource allocation approaches has always been evaluated by counting the number of defects per selected artifact.

Burak et al. [26] analyzed 25 projects of the largest GSM operator in Turkey, Turkcell to predict defect before the testing phase, they used a defect prediction model that is based on static code attributes like lines of code, Halstead and McCabe.

This is otherwise known as cross-project defect prediction (CPDP).

This is known as within-project defect prediction (WPDP).

Nam and Kim [80] proposed an HTL method called Heterogeneous Defect Prediction (HDP) for software defect prediction, though it can also be applied for other tasks.

Therefore, researchers have proposed the cross-project defect prediction (CPDP) and cross-company defect prediction (CCDP) methods to share the historical data among different projects.

Context: Just-in-time software defect prediction (JIT-SDP) aims to conduct defect prediction on code changes, which have finer granularity.

Software defect prediction is important for identification of defect-prone parts of a software.