Abstract
Context: Although there are many tools for performing Systematic Literature Reviews (SLRs), none allows searching for articles using their full text across multiple digital libraries. Goal: This study aimed to show that searching the full text of articles is important for SLRs, and to provide a way to perform such searches in an automated and unified way. Method: The authors created a tool that allows users to download the full text of articles and perform a full-text search. Results: The tool, named ASH, provides a meta-search interface that allows users to obtain much higher search completeness, unifies the search process across all digital libraries, and can overcome the limitations of individual search engines. We use a practical example to identify the potential value of the tool and the limitations of some of the existing digital library search facilities. Conclusions: Our example confirms both that it is important to create such tools and how they can potentially improve the SLR search process. Although the tool does not support all stages of SLR, our example confirms its value for supporting the SLR search process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Al-Zubidy, A., Carver, J.C.: Identification and prioritization of SLR search tool requirements: an SLR and a survey. Empir. Softw. Eng. 24(1), 139–169 (2019)
BA, K., Charters, S.: Guidelines for performing Systematic Literature Reviews in Software Engineering. Technical report (2007), version 2.3
Bowes, D., Hall, T., Beecham, S.: SLuRp: a tool to help large complex systematic literature reviews deliver valid and rigorous results. In: Proceedings of the 2nd International Workshop on Evidential Assessment of Software Technologies, pp. 33–36. EAST 2012. ACM, New York, NY, USA (2012)
Dieste, O., Grimán, A., Juristo, N.: Developing search strategies for detecting relevant experiments. Empir. Softw. Eng. 14(5), 513–539 (2008)
Fernández-Sáez, A.M., Genero Bocco, M., Romero, F.P.: SLR-TOOL - a tool for performing systematic literature reviews. In: Proceedings of the 5th International Conference on Software and Data Technologies, vol. 2: ICSOFT, pp. 157–166. INSTICC, SciTePress (2010). https://doi.org/10.5220/0003003601570166
Kitchenham, B.: Procedures for performing systematic reviews. Technical report (08 2004)
Kitchenham, B., Brereton, P., Budgen, D.: The educational value of mapping studies of software engineering literature. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, vol. 1, pp. 589–598. ACM, New York, NY, USA (2010)
Kitchenham, B., Budgen, D., Brereton, P.: Evidence-Based Software Engineering and Systematic Reviews. CRC Press, Boca Raton (2016)
Kitchenham, B.A., et al.: Refining the systematic literature review process-two participant-observer case studies. Empir. Softw. Eng. 15(6), 618–653 (2010)
Kitchenham, B.A., Dybå, T., Jørgensen, M.: Evidence-based software engineering. In: ICSE 2004: International Conference on Software Engineering, pp. 273–281 (2004)
Marchezan, L., Bolfe, G., Rodrigues, E., Bernardino, M., Basso, F.P.: Thoth: a web-based tool to support systematic reviews. In: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). pp. 1–6 (2019)
Marshall, C., Brereton, P.: Tools to support systematic literature reviews in software engineering: a mapping study. In: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 296–299 (2013)
Marshall, C., Kitchenham, B., Brereton, P.: Tool features to support systematic reviews in software engineering - a cross domain study. e-Informatica Softw. Eng. J. 12(1), 79–115 (2018). https://doi.org/10.5277/e-Inf180104
Molléri, J.S., Benitti, F.B.V.: SESRA: a web-based automated tool to support the systematic literature review process. In: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering. EASE 2015, ACM, New York, NY, USA (2015)
Navarrete, C.B., Malverde, M.G.M., Lagos, P.S., Mujica, A.D.: Buhos: a web-based systematic literature review management software. SoftwareX 7, 360–372 (2018)
Petrović, G., Ivanković, M.: State of mutation testing at Google. In: Proceedings of the 40th International Conference on Software Engineering Software Engineering in Practice - ICSE-SEIP 2018. ACM Press (2018)
Ramampiaro, H., Cruzes, D., Conradi, R., Mendona, M.: Supporting evidence-based software engineering with collaborative information retrieval. In: 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2010), pp. 1–5 (2010). https://doi.org/10.4108/icst.collaboratecom.2010.9
Sośnicki, M.: (2020). https://github.com/LechMadeyski/AutomatedSearchHelper/wiki
Acknowledgements
The authors thank Prof. Barbara Kitchenham for reviewing this paper before its submission.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Sośnicki, M., Madeyski, L. (2021). ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12744. Springer, Cham. https://doi.org/10.1007/978-3-030-77967-2_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-77967-2_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77966-5
Online ISBN: 978-3-030-77967-2
eBook Packages: Computer ScienceComputer Science (R0)