Predicting software defect type using concept-based classification
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Software Engineering"
DOI: 10.1007/s10664-019-09779-6
Abstract: Automatically predicting the defect type of a software defect from its description can significantly speed up and improve the software defect management process. A major challenge for the supervised learning based current approaches for this… read more here.
Keywords: software defect; defect type; concept based; software ... See more keywords
Imbalanced Data Processing Model for Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-5117-z
Abstract: In the field of software engineering, software defect prediction is the hotspot of the researches which can effectively guarantee the quality during software development. However, the problem of class imbalanced datasets will affect the accuracy… read more here.
Keywords: imbalanced data; defect prediction; model; software defect ... See more keywords
A Framework for Software Defect Prediction and Metric Selection
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2785445
Abstract: Automated software defect prediction is an important and fundamental activity in the domain of software development. However, modern software systems are inherently large and complex with numerous correlated metrics that capture different aspects of the… read more here.
Keywords: defect prediction; software defect; metric selection; prediction ... See more keywords
An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2817572
Abstract: Software systems are now ubiquitous and are used every day for automation purposes in personal and enterprise applications; they are also essential to many safety-critical and mission-critical systems, e.g., air traffic control systems, autonomous cars,… read more here.
Keywords: defect prediction; faulty components; model; class imbalance ... See more keywords
Seml: A Semantic LSTM Model for Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925313
Abstract: Software defect prediction can assist developers in finding potential bugs and reducing maintenance cost. Traditional approaches usually utilize software metrics (Lines of Code, Cyclomatic Complexity, etc.) as features to build classifiers and identify defective software… read more here.
Keywords: defect prediction; lstm model; prediction; software defect ... See more keywords
Cross-Project Software Defect Prediction Based on Class Code Similarity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211401
Abstract: Software defect prediction techniques can help software developers find software defects as soon as possible. It can also reduce the cost of software development. This technique usually predicts the target project through the entire source… read more here.
Keywords: software; class; project; defect prediction ... See more keywords
Improving Cross-Project Software Defect Prediction Method Through Transformation and Feature Selection Approach
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3231456
Abstract: In the traditional software defect prediction methodology, the historical record (dataset) of the same project is partitioned into training and testing data. In a practical situation where the project to be predicted is new, traditional… read more here.
Keywords: software defect; project; cross project; defect prediction ... See more keywords
Software defect distribution prediction model based on NPE-SVM
Sign Up to like & getrecommendations! Published in 2018 at "China Communications"
DOI: 10.1109/cc.2018.8387996
Abstract: During the prediction of software defect distribution, the data redundancy caused by the multi-dimensional measurement will lead to the decrease of prediction accuracy. In order to solve this problem, this paper proposed a novel software… read more here.
Keywords: svm; prediction model; defect distribution; software defect ... See more keywords
Hellinger Net: A Hybrid Imbalance Learning Model to Improve Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2020.3020238
Abstract: Software defect prediction (SDP) is a convenient way to identify defects in the early phases of the software development life cycle. This early warning system can help in the removal of software defects and yield… read more here.
Keywords: software defect; hellinger net; model; software ... See more keywords
SPE$^{2}$: Self-Paced Ensemble of Ensembles for Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3155183
Abstract: Software defect prediction aims to predict defect-prone code regions automatically before defects are discovered. Accurate prediction helps software practitioners to prioritize their testing efforts. In recent decades, dozens of approaches have been put forward and… read more here.
Keywords: software defect; inline formula; prediction; tex math ... See more keywords
ACGDP: An Augmented Code Graph-Based System for Software Defect Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3161581
Abstract: Recognizing and repairing defects to enhance quality in software life circle has become a critical research topic. Unfortunately, it is difficult to guarantee the validity of the defect prediction method based on manually designed features… read more here.
Keywords: graph; prediction; augmented code; defect prediction ... See more keywords