Results 41 to 50 of about 86,307 (298)
Software defect prediction based on nested-stacking and heterogeneous feature selection
Complex & Intelligent Systems, 2022 Software testing guarantees the delivery of high-quality software products, and software defect prediction (SDP) has become an important part of software testing.
Li-qiong Chen, Can Wang, Shilong Song
semanticscholar +1 more source
Methodological Assessment of Data Suitability for Defect Prediction
Kvalita Inovácia Prosperita, 2020 Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.
Peter Schlegel +3 more
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Investigating Automatic Static Analysis Results to Identify Quality Problems: an Inductive Study [PDF]
, 2012 Background: Automatic static analysis (ASA) tools examine source code to discover "issues", i.e. code patterns that are symptoms of bad programming practices and that can lead to defective behavior.
Nico Zazworka +13 more
core +1 more source
A Comparison of Semi-Supervised Classification Approaches for Software Defect Prediction
Journal of Intelligent Systems, 2014 Predicting the defect-prone modules when the previous defect labels of modules are limited is a challenging problem encountered in the software industry. Supervised classification approaches cannot build high-performance prediction models with few defect
Catal Cagatay
doaj +1 more source
IEEE Access, 2023 Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir +6 more
doaj +1 more source
Defect Detection Model Using CNN and Image Augmentation for Seat Foaming Process
Mathematics, 2023 In the manufacturing industry, which is facing the 4th Industrial Revolution, various process data are being collected from various sensors, and efforts are being made to construct more efficient processes using these data. Many studies have demonstrated
Nak-Hun Choi +2 more
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On the use of evaluation measures for defect prediction studies
International Symposium on Software Testing and Analysis, 2022 Software defect prediction research has adopted various evaluation measures to assess the performance of prediction models. In this paper, we further stress on the importance of the choice of appropriate measures in order to correctly assess strengths ...
Rebecca Moussa, Federica Sarro
semanticscholar +1 more source
Sensors, 2023 This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity.
Zhongyu Shang +3 more
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An Empirical analysis of Open Source Software Defects data through Software Reliability Growth Models [PDF]
, 2013 The purpose of this study is to analyze the reliability growth of Open Source Software (OSS) using Software Reliability Growth Models (SRGM). This study uses defects data of twenty five different releases of five OSS projects.
Najeeb Ullah +3 more
core +1 more source
Graph Neural Network for Source Code Defect Prediction
IEEE Access, 2022 Predicting defective software modules before testing is a useful operation that ensures that the time and cost of software testing can be reduced. In recent years, several models have been proposed for this purpose, most of which are built using deep ...
L. Šikić +3 more
semanticscholar +1 more source