Results 71 to 80 of about 111,109 (312)

Assessing the impact of crucial feature sets in cross-project for defect prediction employing a hybrid feature selection method

Journal of Intelligent Systems
Cross-project defect prediction is an important method of identifying defects in a project. We extract knowledge from the source project and apply it to predict labels for the target project in cross-project defect prediction.
Gul Sana, Faiz Rizwan Bin, Aljaidi Mohammad, Alshammari Muteb   +3 more
doaj   +1 more source

Correlation feature and instance weights transfer learning for cross project software defect prediction

IET Software, 2021
Due to the differentiation between training and testing data in the feature space, cross‐project defect prediction (CPDP) remains unaddressed within the field of traditional machine learning. Recently, transfer learning has become a research hot‐spot for
Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai   +4 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Interpretable Software Defect Prediction from Project Effort and Static Code Metrics

Computers
Software defect prediction models enable test managers to predict defect-prone modules and assist with delivering quality products. A test manager would be willing to identify the attributes that can influence defect prediction and should be able to ...
Susmita Haldar, Luiz Fernando Capretz
doaj   +1 more source

Dissimilarity Space Based Multi-Source Cross-Project Defect Prediction

Algorithms, 2019
Software defect prediction is an important means to guarantee software quality. Because there are no sufficient historical data within a project to train the classifier, cross-project defect prediction (CPDP) has been recognized as a fundamental approach.
Shengbing Ren, Wanying Zhang, Hafiz Shahbaz Munir, Lei Xia   +3 more
doaj   +1 more source

Topological defects in 1D elastic waves

, 2003
It has been recently shown theoretically that a topological defect in a 1D periodic potential may give rise to two localized states within the energy gaps. In this work we present an experimental realization of this effect for the case of torsional waves
A. Morales, Gumen, J. Flores, Morales, Morales, R.A. Méndez-Sánchez   +5 more
core   +1 more source

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

The Co-Evolution of Test Maintenance and Code Maintenance through the lens of Fine-Grained Semantic Changes

, 2017
Automatic testing is a widely adopted technique for improving software quality. Software developers add, remove and update test methods and test classes as part of the software development process as well as during the evolution phase, following the ...
Levin, Stanislav, Yehudai, Amiram
core   +1 more source

Cross-project defect prediction using ant colony optimization

International Journal of Engineering & Technology, 2019
Software defect prediction techniques applied on single project are showcasing good results because of availability voluminous data to train the model. But newly developed software projects may not have sufficient amount data to train the model. In cross-project defect prediction model (CPDP), training model is constructed by using defect dataset of ...
Kiran Kumar B, Dr. Jayadev Gyani, Dr. Narsimha G.   +2 more
openaire   +1 more source

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan, Rhena Wulf, Till M. J. Stadtmüller, Christos G. Aneziris, Tobias M. Fieback   +4 more
wiley   +1 more source