An exploration of technical debt
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?
Within Software Engineering (SE), MLRs are being undertaken as exploratory studies and are seen as beneficial due to the practical nature of the field.
“Within Software Engineering (SE), MLRs are being undertaken as exploratory studies [46] [47] and are seen as beneficial due to the practical nature of the field [43].”
From DevSecOps practices and tools (2025) · cites this paper as [46]
The citation lists haven’t been fetched yet
References 39 · Cited by 438
- Authors
- Tom, E., Aurum, A., & Vidgen, R.
- Affiliations
- UNSW Sydney (AU)
- University of Hull (GB)
- Corresponding author
- Aurum, Aybüke
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 86
- Issue
- 6
- Pages
- 1498-1516
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W2108025693
- Cited by
- 438
- References
- 39
- Citations by year
- 2026: 22 · 2025: 30 · 2024: 34 · 2023: 38 · 2022: 46 · 2021: 39 · 2020: 41 · 2019: 40 · 2018: 36 · 2017: 35 · 2016: 30 · 2015: 30 · 2014: 14 · 2013: 2 · 2012: 1
- FWCI
- 73.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Systems and Software (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- technical debt, software development, technical debt management, theoretical framework, software professionals, software quality
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.
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