data unpredictability in software defect-fixing effort prediction
National Laboratory for Parallel and Distributed Processing; The University of Hong KongThe prediction of software defect-fixing effort is important for strategic resource allocation and software quality management.
Wang Qing +4 more
core +1 more source
Software Defect Prediction for Healthcare Big Data: An Empirical Evaluation of Machine Learning Techniques. [PDF]
Khan B +6 more
europepmc +1 more source
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley +1 more source
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM). [PDF]
Farid AB +3 more
europepmc +1 more source
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
A novel generative oversampling for software defect prediction. [PDF]
Goyal SR.
europepmc +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Digital twin-driven multiscale modelling for real-time defect prediction in metal additive manufacturing. [PDF]
Alfattani R, Hotami MM.
europepmc +1 more source
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting. [PDF]
Kun Q +5 more
europepmc +1 more source

