Search Results for author: Shin Yoo

Found 7 papers, 3 papers with code

CSA-Trans: Code Structure Aware Transformer for AST

1 code implementation7 Apr 2024 Saeyoon Oh, Shin Yoo

When applying the Transformer architecture to source code, designing a good self-attention mechanism is critical as it affects how node relationship is extracted from the Abstract Syntax Trees (ASTs) of the source code.

Code Summarization Stochastic Block Model

Autonomous Large Language Model Agents Enabling Intent-Driven Mobile GUI Testing

no code implementations15 Nov 2023 Juyeon Yoon, Robert Feldt, Shin Yoo

On average, DroidAgent achieved 61% activity coverage, compared to 51% for current state-of-the-art GUI testing techniques.

Language Modelling Large Language Model

Genetic Improvement @ ICSE 2020

no code implementations31 Jul 2020 William B. Langdon, Westley Weimer, Justyna Petke, Erik Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael Gerten

Following Prof. Mark Harman of Facebook's keynote and formal presentations (which are recorded in the proceedings) there was a wide ranging discussion at the eighth international Genetic Improvement workshop, GI-2020 @ ICSE (held as part of the 42nd ACM/IEEE International Conference on Software Engineering on Friday 3rd July 2020).

Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving

no code implementations29 May 2020 Jinhan Kim, Jeongil Ju, Robert Feldt, Shin Yoo

The development process in use consists of multiple iterations of data collection, labelling, training, and evaluation.

Autonomous Driving Object +2

SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation

no code implementations19 May 2020 Sungmin Kang, Robert Feldt, Shin Yoo

The testing of Deep Neural Networks (DNNs) has become increasingly important as DNNs are widely adopted by safety critical systems.


Arachne: Search Based Repair of Deep Neural Networks

1 code implementation28 Dec 2019 Jeongju Sohn, Sungmin Kang, Shin Yoo

The rapid and widespread adoption of Deep Neural Networks (DNNs) has called for ways to test their behaviour, and many testing approaches have successfully revealed misbehaviour of DNNs.

Fairness Gender Classification +1

Guiding Deep Learning System Testing using Surprise Adequacy

5 code implementations25 Aug 2018 Jinhan Kim, Robert Feldt, Shin Yoo

Recently, a number of coverage criteria based on neuron activation values have been proposed.

Autonomous Driving

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