23 citations · 39 across the 8 of their papers we have counts for
12 papers
On the need to perform comprehensive evaluations of automated program repair benchmarks: Sorald case study
Sumudu Liyanage, Sherlock A. Licorish, Markus Wagner +1
In supporting the development of high-quality software, especially necessary in the era of LLMs, automated program repair (APR) tools aim to improve code quality by automatically a…
Software Engineering in Australasia
Sherlock A. Licorish, Christoph Treude, John Grundy +5
Six months ago an important call was made for researchers globally to provide insights into the way Software Engineering is done in their region. Heeding this call we hereby outlin…
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell +1
Convolutional Neural Networks (CNNs) such as ResNet-50, DenseNet-40 and ResNeXt-56 are severely over-parameterized, necessitating a consequent increase in the computational resourc…
Towards the statistical construction of hybrid development methods
Paolo Tell, Jil Klünder, Steffen Küpper +6
Hardly any software development process is used as prescribed by authors or standards. Regardless of company size or industry sector, a majority of project teams and companies use…
Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
Neural saturation in Deep Neural Networks (DNNs) has been studied extensively, but remains relatively unexplored in Convolutional Neural Networks (CNNs). Understanding and alleviat…
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
Nidhi Gowdra, Roopak Sinha, Stephen MacDonell
Convolutional Neural Networks (CNNs) specialize in feature extraction rather than function mapping. In doing so they form complex internal hierarchical feature representations, the…