Summarizing complex development artifacts by mining heterogeneous data
Luca Ponzanelli, Andrea Mocci, Michele Lanza · 2015
Abstract—Summarization is hailed as a promising approach to reduce the amount of information that must be taken in by the person who wants to understand development artifacts, such as pieces of code, bug reports, emails, etc. However, existing ap-proaches treat artifacts as pure textual entities, disregarding the heterogeneous and partially structured nature of most artifacts, which contain intertwined pieces of distinct type, such as source code, diffs, stack traces, human language, etc. We present a novel approach to augment existing summariza-tion techniques (such as LexRank) to deal with the heterogeneous and multidimensional nature of complex artifacts. Our prelim-inary results on heterogeneous artifacts suggest our approach outperforms the current text-based approaches. I.