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arXiv · 1903.06320

Toward Imitating Visual Attention of Experts in Software Development Tasks

Yoshiharu Ikutani·Nishanth Koganti·Hideaki Hata·Takatomi Kubo·Kenichi Matsumoto
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Abstract

Expert programmers' eye-movements during source code reading are valuable sources that are considered to be associated with their domain expertise. We advocate a vision of new intelligent systems incorporating expertise of experts for software development tasks, such as issue localization, comment generation, and code generation. We present a conceptual framework of neural autonomous agents based on imitation learning (IL), which enables agents to mimic the visual attention of an expert via his/her eye movement. In this framework, an autonomous agent is constructed as a context-based attention model that consists of encoder/decoder network and trained with state-action sequences generated by an experts' demonstration. Challenges to implement an IL-based autonomous agent specialized for software development task are discussed in this paper.

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Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto. 2019-03-15. Toward Imitating Visual Attention of Experts in Software Development Tasks. https://arxiv.org/abs/1903.06320

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