Results 101 to 110 of about 111,109 (312)

CDS: A Cross–Version Software Defect Prediction Model With Data Selection

IEEE Access, 2020
Over the past decade, a large number of software defect prediction approaches have been proposed to identify the defect-prone modules by mining software repositories. Recently, a novel scenario called Cross-Version Defect Prediction (CVDP) begins to draw
Jie Zhang, Jiajing Wu, Chuan Chen, Zibin Zheng, Michael R. Lyu   +4 more
doaj   +1 more source

On the time-based conclusion stability of cross-project defect prediction models [PDF]

, 2020
Abdul Ali Bangash, Hareem Sahar, Abram Hindle, Karim Ali   +3 more
openalex   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

Solid‐State Diffusion and Intermetallic Phase Formation in Roll‐Bonded Mg–Zn Composites With Kirigami‐Patterned Inlay

Advanced Engineering Materials, EarlyView.
Mg–Zn composites with a thickness of 0.21 mm were fabricated using roll bonding of a kirigami‐patterned Mg alloy inlay within a Zn matrix. Thermal activation following this process led to the formation of tailored intermetallic structures, which provided the composite with enhanced flexural strength.
Yaroslav Frolov, Oleksandr Bobukh, Christian Klose, Florian Nürnberger, Hans Jürgen Maier   +4 more
wiley   +1 more source

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

Advanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

Data sets and data quality in software engineering [PDF]

, 2008
OBJECTIVE - to assess the extent and types of techniques used to manage quality within software engineering data sets. We consider this a particularly interesting question in the context of initiatives to promote sharing and secondary analysis of data ...
Liebchen, G, Shepperd, M J
core  

A Cross-project Defect Prediction Model Using Feature Transfer and Ensemble Learning

, 2022
Fuping Zeng, Wanting Lin, Ying Xing, Lu Sun, Bin Yang   +4 more
openalex   +2 more sources

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +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

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source