A Comparative Analysis of Filter-based Fea- ture Selection Methods for Software Fault Pre- diction
Page 1 Tập 2021, Số 1, Tháng 6 A Comparative Analysis of Filter-based Feature Selection …

Prediction of software faults earlier in software development life cycle makes testing process
more effective. This enables software testers to concentrate on the modules that are being …

Software defect prediction (SDP) is used to identify defects in software modules that can be
a challenge in software development. This research focuses on the problems that occur in …

Achieving bug-free software is hard as most of the time there are hidden defects. Predicting
the rate of faultiness in software modules before commercializing is still a challenge to …

Software fault prediction is the process of identifying the faulty modules that helps to reduce
the complexity of the test phase. The selection of proper features from the source code is the …

Feature selection is a technique used to select an optimal feature subset from the original
input features according to a specific criterion. The criterion is often formulated as an …

Testing is considered as one of the expensive activities in software development process.
Fixing the defects during testing process can increase the cost as well as the completion …

Software quality is the main criterion for increasing user demand for software. Therefore,
software companies seek to ensure software quality by predicting software defects in the …

The Software testing is critical for ensuring the quality of software, but it can consume more
than half of a software project's total expenses. This research can help software …

Fault prediction is the process of using data analysis and machine learning models to
anticipate potential defects or faults in the software system. Using only the base machine …