Results 21 to 30 of about 86,307 (298)
A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method
Journal of Intelligence and Information Systems, 2023 Software defect prediction (SDP) plays a vital role in enhancing the quality of software projects and reducing maintenance-based risks through the ability to detect defective software components.
N. A. A. Khleel, K. Nehéz
semanticscholar +1 more source
Software defect prediction using a bidirectional LSTM network combined with oversampling techniques
Cluster Computing, 2023 Software defects are a critical issue in software development that can lead to system failures and cause significant financial losses. Predicting software defects is a vital aspect of ensuring software quality.
N. A. A. Khleel, K. Nehéz
semanticscholar +1 more source
Software Defect Prediction Analysis Using Machine Learning Techniques
Sustainability, 2023 There is always a desire for defect-free software in order to maintain software quality for customer satisfaction and to save testing expenses. As a result, we examined various known ML techniques and optimized ML techniques on a freely available data ...
Aimen Khalid +4 more
semanticscholar +1 more source
A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning
IEEE Access, 2023 In software engineering community, defect prediction is one the active domain. For the software’s success, it is essential to reduce the software engineering and data-mining gap.
Iqra Mehmood +7 more
semanticscholar +1 more source
Mathematics, 2023 This research contributes an intelligent cloud-based software defect prediction system using data and decision-level machine learning fusion techniques. The proposed system detects the defective modules using a two-step prediction method.
Shabib Aftab +6 more
semanticscholar +1 more source
SODALITE-EU/defect-prediction: M30Release of Defect Predictor
, 2021 This is M30Release of defect prediction support for TOSCA and ...
IndikaKuma +4 more
core +1 more source
Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques. [PDF]
J Healthc Eng, 2021 Software defect prediction (SDP) in the initial period of the software development life cycle (SDLC) remains a critical and important assignment. SDP is essentially studied during few last decades as it leads to assure the quality of software systems ...
Khan B +6 more
europepmc +2 more sources
Large Defect Prediction Benchmark
, 2022 This is a collection of defect datasets for the software engineering research community. This collection is from 8 corpus as follows: AEEEM-defect-dataset: M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and
Chakkrit (Kla) Tantithamthavorn
core +1 more source
SODALITE-EU/defect-prediction: M24Release of Defect Predictor
, 2021 <p>This is M24Release of defect prediction support for TOSCA and Ansible.</p ...
IndikaKuma +5 more
core +1 more source
Software Defect Prediction with Bayesian Approaches
Mathematics, 2023 Software defect prediction is an important area in software engineering because it helps developers identify and fix problems before they become costly and hard-to-fix bugs.
Ma. José Hernández-Molinos +4 more
semanticscholar +1 more source