
Interaction traces (ITs) are developers' logs collected while developers maintain or evolve software systems. Researchers use ITs to study developers' editing styles and recommend relevant program elements. However, ITs can be noisy, containing irrelevant or redundant information that can negatively impact the accuracy of the results. This research activity aims to investigate the impact of noise in ITs on software maintenance, including the effects on developers' productivity, the quality of the results, and the overall maintenance process. By understanding the impact of noise in ITs, developers and researchers can develop strategies to mitigate its effects and improve the overall software maintenance process.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
