The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A method for evaluating rigor and industrial relevance of technology evaluations
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Citations
Cites
Guidelines for conducting and reporting case study research in software engineering
Runeson, P., & Höst, M. (2009) · Empirical Software Engineering · doi:10.1007/s10664-008-9102-8 · Cited by 3,862
Systematic Mapping Studies in Software Engineering
Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008) · Electronic Workshops in Computing · doi:10.14236/ewic/ease2008.8 · Cited by 3,239 · cited 1×
“Bubble charts can be very effective in giving visual indications of how much research is carried out and categorizing research type (Petersen et al. 2008; Šmite et al. 2010).”
BackgroundApplying Systematic Reviews to Diverse Study Types: An Experience Report
Dyba, T., Dingsoyr, T., & Hanssen, G. K. (2007) · First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007) · doi:10.1109/esem.2007.59 · Cited by 391
A Model for Technology Transfer in Practice
Gorschek, T., Garre, P., Larsson, S., & Wohlin, C. (2006) · IEEE Software · doi:10.1109/ms.2006.147 · Cited by 350
Self-citationUsing an expert panel to validate a requirements process improvement model
Beecham, S., Hall, T., Britton, C., Cottee, M., & Rainer, A. (2005) · Journal of Systems and Software · doi:10.1016/j.jss.2004.06.004 · Cited by 171
Cited by
A systematic review of systematic review process research in software engineering
Kitchenham, B., & Brereton, P. (2013) · Information and Software Technology · doi:10.1016/j.infsof.2013.07.010 · Cited by 1,094
Systematic literature studies: database searches vs. backward snowballing
Jalali, S., & Wohlin, C. (2012) · Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement · doi:10.1145/2372251.2372257 · Cited by 659
Software development in startup companies: A systematic mapping study
Paternoster, N., Giardino, C., Unterkalmsteiner, M., Gorschek, T., & Abrahamsson, P. (2014) · Information and Software Technology · doi:10.1016/j.infsof.2014.04.014 · Cited by 451
Self-citationThe ABC of Software Engineering Research
Stol, K.-J., & Fitzgerald, B. (2018) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3241743 · Cited by 245
What Do We Know about Software Development in Startups?
Giardino, C., Unterkalmsteiner, M., Paternoster, N., Gorschek, T., & Abrahamsson, P. (2014) · IEEE Software · doi:10.1109/ms.2014.129 · Cited by 223
Self-citation
Metadata
- Authors
- Ivarsson, M., & Gorschek, T.
- Venue
- Empirical Software Engineering
- Published
- 2010-10-06
- Volume
- 16
- Issue
- 3
- Pages
- 365-395
- ISSN
- 1382-3256 (ISSN-L)
- 1573-7616
- OpenAlex
- W2015232149
- Cited by
- 279
- References
- 5
- FWCI
- 27.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A method for evaluating rigor and industrial relevance of technology evaluations. https://app.cochat.ai/papers/10.1007/s10664-010-9146-4
- The paper
- Ivarsson, M., & Gorschek, T. (2011). A method for evaluating rigor and industrial relevance of technology evaluations. Empirical Software Engineering. https://doi.org/10.1007/s10664-010-9146-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
