Evidence-Based Software Engineering
Proceedings of the 26th International Conference on Software Engineering
Evidence-Based Software Engineering for Practitioners
IEEE Software
Search Engine Overlaps: Do they agree or disagree?
REBSE '07 Proceedings of the Second International Workshop on Realising Evidence-Based Software Engineering
Applying Systematic Reviews to Diverse Study Types: An Experience Report
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Information and Software Technology
Developing search strategies for detecting relevant experiments
Empirical Software Engineering
Variability management in software product lines: a systematic review
Proceedings of the 13th International Software Product Line Conference
A status report on the evaluation of variability management approaches
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
Application of knowledge-based approaches in software architecture: A systematic mapping study
Information and Software Technology
Knowledge-based approaches in software documentation: A systematic literature review
Information and Software Technology
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Systematic Literature Reviews and Systematic Mapping Studies are relatively new forms of secondary studies in software engineering. 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.