Metrics Based Feature Selection for Software Defect Prediction
نویسندگان
چکیده
منابع مشابه
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 software testing effort, reduce costs, and improve the software testing process by focusing on fault-prone module. Software defect data sets have an imbalanced nature with very few defective modules compared to defect-free o...
متن کاملMetaheuristic Optimization based Feature Selection for Software Defect Prediction
Software defect prediction has been an important research topic in the software engineering field, especially to solve the inefficiency and ineffectiveness of existing industrial approach of software testing and reviews. The software defect prediction performance decreases significantly because the data set contains noisy attributes and class imbalance. Feature selection is generally used in ma...
متن کاملA Feature Selection Based Model for Software Defect Prediction
Software is a complex entity composed in various modules with varied range of defect occurrence possibility. Efficient and timely prediction of defect occurrence in software allows software project managers to effectively utilize people, cost, time for better quality assurance. The presence of defects in a software leads to a poor quality software and also responsible for the failure of a softw...
متن کاملChoosing software metrics for defect prediction: an investigation on feature selection techniques
The selection of software metrics for building software quality prediction models is a search-based software engineering problem. An exhaustive search for such metrics is usually not feasible due to limited project resources, especially if the number of available metrics is large. Defect prediction models are necessary in aiding project managers for better utilizing valuable project resources f...
متن کاملA Novel Feature Subset Selection Algorithm for Software Defect Prediction
Feature subset selection is the process of choosing a subset of good features with respect to the target concept. A clustering based feature subset selection algorithm has been applied over software defect prediction data sets. Software defect prediction domain has been chosen due to the growing importance of maintaining high reliability and high quality for any software being developed. A soft...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: jurnal komputasi
سال: 2020
ISSN: 2541-0350
DOI: 10.23960/komputasi.v8i2.2670