  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.
