Abstract:
Cost of a skilled and competent software developer
is high, and it is desirable to minimize dependency on such costly
human resources. One of the ways to minimize such costs is via
automation of various software development tasks.
Recent advances in Artificial Intelligence (AI) and the availability of a large volume of knowledge bearing data at various
software development related venues present a ripe opportunity
for building tools that can automate software development tasks.
For instance, there is significant latent knowledge present in raw
or unstructured data associated with items such as source files,
code commit logs, defect reports, comments, and so on, available
in the Open Source Software (OSS) repositories.
We aim to leverage such knowledge-bearing data, the latest
advances in AI and hardware to create knowledge warehouses
and expert systems for the software development domain. Such
tools can help in building applications for performing various
software development tasks such as defect prediction, effort
estimation, code review, etc
