The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Context in industrial software engineering research
Open accessAbstract
In order to draw valid conclusions when aggregating evidence it is important to describe the context in which industrial studies were conducted. This paper structures the context for empirical industrial studies and provides a checklist. The aim is to aid researchers in making informed decisions concerning which parts of the context to include in the descriptions. Furthermore, descriptions of industrial studies were surveyed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
Cited by
A Systematic Literature Review on Fault Prediction Performance in Software Engineering
Hall, T., Beecham, S., Bowes, D., Gray, D., & Counsell, S. (2012) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2011.103 · Cited by 1,154
Garousi, V., Felderer, M., & Mäntylä, M. V. (2019) · Information and Software Technology · doi:10.1016/j.infsof.2018.09.006 · Cited by 831
Shahin, M., Ali Babar, M., & Zhu, L. (2017) · IEEE Access · doi:10.1109/access.2017.2685629 · Cited by 680
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
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
Metadata
- Authors
- Petersen, K., & Wohlin, C.
- Venue
- 2009 3rd International Symposium on Empirical Software Engineering and Measurement
- Publisher
- IEEE
- Published
- 2009-10
- Pages
- 401-404
- ISSN
- 1938-6451 (ISSN-L)
- OpenAlex
- W2037316754
- Cited by
- 270
- References
- 1
- FWCI
- 12.20
- Type
- conference paper
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
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.
