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Investigating the Use of a Hybrid Search Strategy for Systematic Reviews
Fluminense Fed Univ, BRA.
Pontifical Catholic Univ Rio de Janeiro PUC Rio, BRA.
Fluminense Fed Univ, BRA.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik. Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Vise andre og tillknytning
2017 (engelsk)Inngår i: 11TH ACM/IEEE INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT (ESEM 2017), IEEE , 2017, s. 193-198Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

[Background] Systematic Literature Reviews (SLRs) are one of the important pillars when employing an evidence-based paradigm in Software Engineering. To date most SLRs have been conducted using a search strategy involving several digital libraries. However, significant issues have been reported for digital libraries and applying such search strategy requires substantial effort. On the other hand, snowballing has recently arisen as a potentially more efficient alternative or complementary solution. Nevertheless, it requires a relevant seed set of papers. [Aims] This paper proposes and evaluates a hybrid search strategy combining searching in a specific digital library (Scopus) with backward and forward snowballing. [Method] The proposed hybrid strategy was applied to two previously published SLRs that adopted database searches. We investigate whether it is able to retrieve the same included papers with lower effort in terms of the number of analysed papers. The two selected SLRs relate respectively to elicitation techniques (not confined to Software Engineering (SE)) and to a specific SE topic on cost estimation. [Results] Our results provide preliminary support for the proposed hybrid search strategy as being suitable for SLRs investigating a specific research topic within the SE domain. Furthermore, it helps overcoming existing issues with using digital libraries in SE. [Conclusions] The hybrid search strategy provides competitive results, similar to using several digital libraries. However, further investigation is needed to evaluate the hybrid search strategy.

sted, utgiver, år, opplag, sider
IEEE , 2017. s. 193-198
Serie
International Symposium on Empirical Software Engineering and Measurement, ISSN 1938-6451
Emneord [en]
systematic review, search strategy, hybrid strategy, snowballing
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-15980DOI: 10.1109/ESEM.2017.30ISI: 000425929000023ISBN: 978-1-5090-4039-1 (tryckt)OAI: oai:DiVA.org:bth-15980DiVA, id: diva2:1192765
Konferanse
11th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Toronto
Tilgjengelig fra: 2018-03-23 Laget: 2018-03-23 Sist oppdatert: 2018-03-26bibliografisk kontrollert

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Totalt: 176 treff
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