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Towards an evidence-based understanding of electronic data sources

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dc.contributor.author Chen, Lianping
dc.contributor.author Ali Babar, Muhammad
dc.contributor.author Zhang, He
dc.date.accessioned 2011-02-01T17:23:14Z
dc.date.available 2011-02-01T17:23:14Z
dc.date.issued 2010
dc.identifier.uri http://hdl.handle.net/10344/682
dc.description peer-reviewed en_US
dc.description.abstract Identifying relevant papers from various Electronic Data Sources (EDS) is one of the key activities of conducting these kinds of studies. Hence, the selection of EDS for searching the potentially relevant papers is an important decision, which can affect a study’s coverage of relevant papers. Researchers usually select EDS mainly based on personal knowledge, experience, and preferences and/or recommendations by other researchers. We believe that building an evidence-based understanding of EDS can enable researchers to make more informed decisions about the selection of EDS. This paper reports our initial effort towards this end. We propose an initial set of metrics for characterizing the EDS from the perspective of the needs of secondary studies. We explain the usage and benefits of the proposed metrics using the data gathered from two secondary studies. We also tried to synthesize the data from the two studies and that from literature to provide initial evidence-based heuristics for EDS selection. en_US
dc.language.iso eng en_US
dc.relation.ispartofseries Proceedings of the 14th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2010;
dc.subject systematic mapping study en_US
dc.subject search engine selection en_US
dc.subject evidence-based en_US
dc.title Towards an evidence-based understanding of electronic data sources en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.relation.projectid 03/CE2/I303_1
dc.internal.authorcontactother Lianping.Chen@ul.ie


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