
This is supplementary material for a paper, "Data-Limited Continuous Experimentation (DLC): A Literature Review", published at the 15th International Conference on Software Business (ICSOB 2024). It contains a list of included papers from a literature review, their experimentation cases and extracted data related to contextual and experimentation factors, as well as their relevance to dlCE scenarios.
Software engineering, User data, Continuous experimentation
Software engineering, User data, Continuous experimentation
| 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). | 1 | |
| 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 |
