Abstract
Systematic literature reviews and mapping studies are useful research methods used to lay the foundations of further research. These methods are widely used in the Health Sciences and, more recently, also in Computer Science. Despite existing tool support for systematic reviews, more automation is required to conduct the complete process. This paper describes CloudSERA, a web-based app to support the evidence-based systematic review of scientific literature. The tool supports researchers to carry out studies by additional facilities as collaboration, usability, parallel searches and search integration with other systems, The flexible data scheme of the tool enables the integration of bibliographic databases of common use in Computer Science and can be easily extended to support additional sources. It can be used as a service in a cloud environment or as on-premises software.
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References
Börner, K., Chen, C., Boyack, K.W.: Visualizing knowledge domains. Ann. Rev. Inf. Sci. Technol. 37(1), 179–255 (2003)
Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., Herrera, F.: Science mapping software tools: review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 62(7), 1382–1402 (2011)
Collaboration, C., et al.: The Cochrane Reviewers’ Handbook Glossary. Cochrane Collaboration, London (2001)
(ESEG), E.S.E.G.: REviewER (2013). https://sites.google.com/site/eseportal/tools/reviewer. Accessed 10 July 2018
Fabbri, S., Silva, C., Hernandes, E., Octaviano, F., Di Thommazo, A., Belgamo, A.: Improvements in the start tool to better support the systematic review process. In: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering, p. 21. ACM (2016)
Fernández-Sáez, A.M., Bocco, M.G., Romero, F.P.: SLR-tool: a tool for performing systematic literature reviews. In: ICSOFT, vol. 2, pp. 157–166 (2010)
Fortunato, S., et al.: Science of science. Science 359(6379) (2018)
Freitas, V.: Persifal (2014). https://parsif.al/. Accessed 10 July 2018
Hassler, E., Carver, J.C., Hale, D., Al-Zubidy, A.: Identification of SLR tool needs - results of a community workshop. Inf. Softw. Technol. 70(Supplement C), 122–129 (2016)
Kitchenham, B., Charters, S.: Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE 2007–001, Keele University and Durham University Joint Report (2007)
Kitchenham, B.A., Budgen, D., Brereton, P.: Evidence-Based Software Engineering and Systematic Reviews, vol. 4. CRC Press, Boca Raton (2015)
Kohl, C., et al.: Online tools supporting the conduct and reporting of systematic reviews and systematic maps: a case study on cadima and review of existing tools. Environ. Evid. 7(1), 8 (2018)
Marshall, C., Brereton, P.: Tools to support systematic literature reviews in software engineering: a mapping study. In: 2013 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 296–299, October 2013
Marshall, C., Brereton, P., Kitchenham, B.: Tools to support systematic reviews in software engineering: a feature analysis. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, EASE 2014, pp. 13:1–13:10. ACM, New York (2014)
Marshall, C., Brereton, P., Kitchenham, B.: Tools to support systematic reviews in software engineering: a cross-domain survey using semi-structured interviews. In: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering, EASE 2015, pp. 26:1–26:6. ACM, New York (2015)
Moed, H.F., Glänzel, W., Schmoch, U.: Handbook of Quantitative Science and Technology Research. Springer, Dordrecht (2015)
Nielsen, J.: Ten usability heuristics (2005)
Petersen, K., Vakkalanka, S., Kuzniarz, L.: Guidelines for conducting systematic mapping studies in software engineering: an update. Inf. Softw. Technol. 64, 1–18 (2015)
Barn, B.S., Raimondi, F., Athappian, L., Clark, T.: SLRtool: a tool to support collaborative systematic literature reviews. In: Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2, ICEIS 2014, pp. 440–447. SCITEPRESS - Science and Technology Publications, LDA, Portugal (2014)
Zhang, H., Babar, M.A.: Systematic reviews in software engineering: an empirical investigation. Inf. Softw. Technol. 55(7), 1341–1354 (2013)
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This work was funded by the Spanish Government under the VISAIGLE Project (grant TIN2017-85797-R).
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Ruiz-Rube, I., Person, T., Mota, J.M., Dodero, J.M., González-Toro, Á.R. (2018). Evidence-Based Systematic Literature Reviews in the Cloud. In: Yin, H., Camacho, D., Novais, P., Tallón-Ballesteros, A. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2018. IDEAL 2018. Lecture Notes in Computer Science(), vol 11315. Springer, Cham. https://doi.org/10.1007/978-3-030-03496-2_12
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