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

Toward Imitating Visual Attention of Experts in Software Development Tasks