Predictive models in software engineering: Challenges and opportunities

Y Yang, X **a, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Students' behavior mining in e-learning environment using cognitive processes with information technologies

A Jalal, M Mahmood - Education and Information Technologies, 2019 - Springer
Rapid growth and recent developments in education sector and information technologies
have promoted E-learning and collaborative sessions among the learning communities and …

Constructing arrangements of lines and hyperplanes with applications

H Edelsbrunner, J O'Rourke, R Seidel - SIAM Journal on Computing, 1986 - SIAM
A finite set of lines partitions the Euclidean plane into a cell complex. Similarly, a finite set of
(d-1)-dimensional hyperplanes partitions d-dimensional Euclidean space. An algorithm is …

Region and decision tree-based segmentations for Multi-objects detection and classification in Outdoor Scenes

A Ahmed, A Jalal, K Kim - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Accurate segmentation and detection of all mixed and occluded objects in the complex
indoor/outdoor scenes become a vital topic of computer vision. These above-mentioned …

Identify severity bug report with distribution imbalance by CR-SMOTE and ELM

S Guo, R Chen, H Li, T Zhang, Y Liu - International Journal of …, 2019 - World Scientific
Manually inspecting bugs to determine their severity is often an enormous but essential
software development task, especially when many participants generate a large number of …

Near-and far-infrared imaging for vein pattern biometrics

L Wang, G Leedham - … Conference on Video and Signal Based …, 2006 - ieeexplore.ieee.org
This paper investigates two infrared imaging technologies, far-infrared thermography and
near-infrared imaging, to acquire hand vein pattern images for biometric purposes. The …

Images don't lie: Duplicate crowdtesting reports detection with screenshot information

J Wang, M Li, S Wang, T Menzies, Q Wang - Information and Software …, 2019 - Elsevier
Context: Crowdtesting is effective especially when it comes to the feedback on GUI systems,
or subjective opinions about features. Despite of this, we find crowdtesting reports are highly …

Fusion of multi-RSMOTE with fuzzy integral to classify bug reports with an imbalanced distribution

R Chen, SK Guo, XZ Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the help of automated classification, severe bugs can be rapidly identified so that the
latent damage to software projects can be minimized. However, bug report datasets …

App review analysis via active learning: reducing supervision effort without compromising classification accuracy

VT Dhinakaran, R Pulle, N Ajmeri… - 2018 IEEE 26th …, 2018 - ieeexplore.ieee.org
Automated app review analysis is an important avenue for extracting a variety of
requirements-related information. Typically, a first step toward performing such analysis is …

Crowd intelligence enhances automated mobile testing

K Mao, M Harman, Y Jia - 2017 32nd IEEE/ACM International …, 2017 - ieeexplore.ieee.org
We show that information extracted from crowd-based testing can enhance automated
mobile testing. We introduce Polariz, which generates replicable test scripts from crowd …