A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction
Software fault prediction aims to classify whether the module is defective or not-defective. In
software systems, there are some software metrics may contain irrelevant or redundant …
software systems, there are some software metrics may contain irrelevant or redundant …
A hybrid feature selection method for software fault prediction
Fault prediction aims to identify whether a software module is defect-prone or not according
to metrics that are mined from software projects. These metric values, also known as …
to metrics that are mined from software projects. These metric values, also known as …
Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm
Software fault prediction helps in early identification of software faults and as a result it
improves the software quality. It uses previous software metrics and fault data as …
improves the software quality. It uses previous software metrics and fault data as …
[PDF][PDF] A model for feature selection in software fault prediction based on memetic algorithm and fuzzy logic
M Eshraghi Nia, A Karimi, E Bastami - Electronic and Cyber Defense, 2021 - ecdj.ihu.ac.ir
Today, due to high costs, it is not possible to perform a comprehensive and complete test on
all parts of thesoftware. But if the fault-prone parts are identified before the test, the main …
all parts of thesoftware. But if the fault-prone parts are identified before the test, the main …
Majority vote feature selection algorithm in software fault prediction
Identification and location of defects in software projects is an important task to improve
software quality and to reduce software test effort estimation cost. In software fault prediction …
software quality and to reduce software test effort estimation cost. In software fault prediction …
Genetic feature selection for software defect prediction
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …
engineering field. The accurate prediction of defect prone software modules can help the …
[PDF][PDF] Combining particle swarm optimization based feature selection and bagging technique for software defect prediction
The costs of finding and correcting software defects have been the most expensive activity in
software development. The accurate prediction of defect‐prone software modules can help …
software development. The accurate prediction of defect‐prone software modules can help …
Feature selection and software defect prediction by different ensemble classifiers
N Shakhovska, V Yakovyna - … , DEXA 2021, Virtual Event, September 27 …, 2021 - Springer
Software defect prediction can improve its quality and is actively studied during the last
decade. This paper focuses on the improvement of software defect prediction accuracy by …
decade. This paper focuses on the improvement of software defect prediction accuracy by …
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …
made by developers get fixed at a later stage of the software development process. This …
Metaheuristic feature selection for software fault prediction
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 …
the rate of faultiness in software modules before commercializing is still a challenge to …