TY - GEN
T1 - An adaptive approach to impact analysis from change requests to source code
AU - Gethers, Malcom
AU - Kagdi, Huzefa
AU - Dit, Bogdan
AU - Poshyvanyk, Denys
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84855420339&partnerID=8YFLogxK
U2 - 10.1109/ASE.2011.6100120
DO - 10.1109/ASE.2011.6100120
M3 - Conference contribution
AN - SCOPUS:84855420339
SN - 9781457716393
T3 - 2011 26th IEEE/ACM International Conference on Automated Software Engineering, ASE 2011, Proceedings
SP - 540
EP - 543
BT - 2011 26th IEEE/ACM International Conference on Automated Software Engineering, ASE 2011, Proceedings
T2 - 2011 26th IEEE/ACM International Conference on Automated Software Engineering, ASE 2011
Y2 - 6 November 2011 through 10 November 2011
ER -