Less is more: Temporal fault predictive performance over multiple hadoop releases
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Authors
Colleges, School and Institutes
External organisations
- UCL
- University of York
Abstract
We investigate search based fault prediction over time based on 8 consecutive Hadoop versions, aiming to analyse the impact of chronology on fault prediction performance. Our results confound the assumption, implicit in previous work, that additional information from historical versions improves prediction; though G-mean tends to improve, Recall can be reduced.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 6th Symposium on Search-Based Software Engineering (SSBSE), Lecture Notes in Computer Science |
| Publication status | Published - 2014 |
| Event | 6th International Symposium on Search-Based Software Engineering, SSBSE 2014 - Fortaleza, Brazil Duration: 26 Aug 2014 → 29 Aug 2014 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8636 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 6th International Symposium on Search-Based Software Engineering, SSBSE 2014 |
|---|---|
| Country | Brazil |
| City | Fortaleza |
| Period | 26/08/14 → 29/08/14 |