Supporting systematic literature reviews in computer science: the systematic literature review toolkit
Abstract
The systematic analysis of related work is an important part of every research project. Surprisingly, especially in computer science, this activity is typically performed manually. Whilst in other disciplines fully automated analysis approaches exist, the lack of a reasonably complete, queryable and free-to-use literature catalog for computer science requires computer scientists to manually retrieve, merge and analyze literature from different catalogs. Although manual literature retrieval is enforced by the current main publishers, tool support to merge and cleanse literature found in different catalogs as well as to analyze the results is possible and needed. The systematic literature review toolkit, an Eclipse Rich Client Platform application leveraging the Eclipse Modeling Framework, aims to provide this support. Currently, four main features are supported: simple literature filtering, design of a taxonomy, classification of literature and analysis of the classification by generated diagrams. The tool is available online: https://github.com/sebastiangoetz/slr-toolkit
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A systematic literature review was conducted using the PRISMA methodology.
“As part of this investigation, a systematic literature review was conducted using the PRISMA methodology (Supplementary Materials) [40,45,46,47,48,49,50].”
Cites
Interactively exploring hierarchical clustering results [gene identification]
Seo, J., & Shneiderman, B. (2002) · Computer · doi:10.1109/mc.2002.1016905 · Cited by 326 · see citing works
Using GQM and TAM to evaluate StArt – a tool that supports Systematic Review
Hernandes, E. C. M., Zamboni, A., Fabbri, S., & Thommazo, A. D. (2012) · CLEI electronic journal · doi:10.19153/cleiej.15.1.2 · Cited by 146 · see citing works
The Craft of Research, 2nd edition
Booth, W. C., Colomb, G. G., & Williams, J. M. (2003) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226065694.001.0001 · Cited by 97 · see citing works
Tools to Support Systematic Literature Reviews in Software Engineering: A Mapping Study
Marshall, C., & Brereton, P. (2013) · 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2013.32 · Cited by 87 · see citing works
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
Gonçalves, W. N., Monteiro, J. B. O., Silva, J. D. A., et al. (2007) · doi:10.1109/sibgrapi.2007.39 · Cited by 72 · see citing works
A visual analysis approach to validate the selection review of primary studies in systematic reviews
Felizardo, K. R., Andery, G. F., Paulovich, F. V., Minghim, R., & Maldonado, J. C. (2012) · Information and Software Technology · doi:10.1016/j.infsof.2012.04.003 · Cited by 60 · see citing works
SLR-TOOL - A Tool for Performing Systematic Literature Reviews
Fernández-Sáez, A. M., Bocco, M. G., & Romero, F. P. (2010) · International Conference on Software and Data Technologies · doi:10.5220/0003003601570166 · Cited by 42 · see citing works
Linked data approach for selection process automation in systematic reviews
Tomassetti, F., Rizzo, G. F., Vetrò, A., Ardito, L., Torchiano, M., & Morisio, M. (2011) · International Conference on Evaluation and Assessment in Software Engineering (EASE) · doi:10.1049/ic.2011.0004 · Cited by 41 · see citing works
Bowes, D., Hall, T., & Beecham, S. (2012) · International Workshop on Evidential Assessment of Software Technologies (EAST) · doi:10.1145/2372233.2372243 · Cited by 39 · see citing works
Towards evidence-based ontology for supporting systematic literature review
Sun, Y., Yang, Y., Zhang, H., Zhang, W., & Wang, Q. (2012) · International Conference on Evaluation and Assessment in Software Engineering (EASE) · doi:10.1049/ic.2012.0022 · Cited by 25 · see citing works
Automated Information Extraction from Empirical Software Engineering Literature: Is that possible?
Cruzes, D., Mendonca, M., Basili, V. R., Shull, F. J., & Jino, M. (2007) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1109/esem.2007.62 · Cited by 19 · see citing works
Automatic Results Identification in Software Engineering Papers. Is it Possible?
Torres, J. A. S., Cruzes, D. S., & Salvador, L. D. N. (2012) · International Conference on Computational Science and Its Applications · doi:10.1109/iccsa.2012.27 · Cited by 12 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Younis, H. A., Eisa, T. A. E., Nasser, M., Sahib, T. M., Noor, A. A., Alyasiri, O. M., Salisu, S., Hayder, I. M., & Younis, H. A. (2024) · Diagnostics · doi:10.3390/diagnostics14010109 · Cited by 242 · see citing works
Younis, H. A., Ruhaiyem, N. I. R., Badr, A. A., Abdul-Hassan, A. K., Alfadli, I. M., Binjumah, W. M., Altuwaijri, E. A., & Nasser, M. (2023) · Processes · doi:10.3390/pr11051488 · Cited by 21 · see citing works
- Authors
- Götz, S.
- Affiliations
- Technische Universität Dresden (DE)
- Corresponding author
- Götz, Sebastian
- ORCID
- Götz, Sebastian
- Venue
- Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
- Publisher
- ACM
- Published
- 2018-10-14
- Pages
- 22-26
- OpenAlex
- W2895523442
- Cited by
- 14
- References
- 13
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 3 · 2020: 1 · 2019: 1
- FWCI
- 0.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (publishedVersion)
- Funders
- DFG (CRC912)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- systematic reviews, Eclipse Modeling Framework, literature classification
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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