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ASE 2011

An adaptive approach to impact analysis from change requests to source code

Malcom Gethers, Huzefa H. Kagdi, Bogdan Dit, Denys Poshyvanyk

DOI 10.1109/ase.2011.6100120dblp

Abstract

The paper presents an adaptive approach to perform impact analysis from a given change request (e.g., a bug report) to source code. Given a textual change request, a single snapshot (release) of source code, indexed using Latent Semantic Indexing, is used to estimate the impact set. Additionally, the approach configures the best-fit combination of information retrieval, dynamic analysis, and data mining of past source code commits to produce an improved impact set. The tandem operation of the three techniques sets it apart from other related solutions.

BibTeX
@inproceedings{Gethers-al:ASE11,
  author    = {Malcom Gethers and
               Huzefa H. Kagdi and
               Bogdan Dit and
               Denys Poshyvanyk},
  title     = {An adaptive approach to impact analysis from change requests to source code},
  booktitle = {ASE},
  pages     = {540--543},
  publisher = {{IEEE} Computer Society},
  year      = {2011},
}

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