Results 161 to 170 of about 277,827 (338)

On the Cost and Profit of Software Defect Prediction

, 2019
Steffen Herbold
openalex   +1 more source

Improved SMOTE and Optimized Siamese Neural Networks for Class Imbalanced Heterogeneous Cross Project Defect Prediction

, 2022
N. Kalaivani, R. Beena, S Lessmann, B Baesens, C Mues, S Pietsch, V Challagulla, F Bastani, I Yen, R Paul, R Wahono, N Suryana, M Jureczko, D Spinellis, S Palma, D Nucci, F Palomba, D Tamburri, Z He, F Shu, Y Yang, M Li, Q Wang, J Nam, W Fu, S Kim, T Menzies, L Tan, X Chen, Y Mu, K Liu, Z Cui, C Ni, N Kalaivani, R Beena, X Jing, F Wu, X Dong, F Qi, B Xu, Z Xu, P Yuan, T Zhang, Y Tang, S Li, Z Xia, Z Li, X Jing, F Wu, X Zhu, B Xu, S Ying, Z Li, X Jing, X Zhu, H Zhang, B Xu, S Ying, H Tong, B Liu, S Wang, L Gong, S Jiang, L Jiang, X Yin, L Liu, H Liu, Q Wu, A Wang, Y Zhang, H Wu, K Jiang, M Wang, J Wu, Y Wu, N Niu, M Zhou, A Wang, Y Zhang, Y Yan, F Peters, T Menzies, A Marcus, A Fernndez, S Garcia, F Herrera, N Chawla, N Hoque, H Ahmed, D Bhattacharyya, J Kalita, C Cheadle, M Vawter, W Freed, K Becker, D Chicco, A Balani, M Nayeri, A Azar, M Yazdi   +99 more
openalex   +1 more source

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Attention based GRU-LSTM for software defect prediction. [PDF]

PLoS One, 2021
Munir HS, Ren S, Mustafa M, Siddique CN, Qayyum S.   +4 more
europepmc   +1 more source

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

Advanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold, Dylan Jennings, Robert Vaßen   +2 more
wiley   +1 more source

An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction. [PDF]

Sensors (Basel), 2021
Luo H, Dai H, Peng W, Hu W, Li F.
europepmc   +1 more source

Software Defect Prediction in Class Level Metric Aggregation Using Data Mining Techniques

, 2016
R. Kiran Kumar, S.V. Achuta Rao
openalex   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

A Novel Rank Aggregation-Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction. [PDF]

Comput Intell Neurosci, 2021
Balogun AO, Basri S, Mahamad S, Capretz LF, Imam AA, Almomani MA, Adeyemo VE, Kumar G.   +7 more
europepmc   +1 more source

Software Defect Prediction Dataset

, 2021
Deepti Aggarwal
openalex   +1 more source