The effects of test driven development on internal quality, external quality and productivity: A systematic review
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?
TDD is an effective approach for software development.
“Overall, this is an effective approach for software development, but careful planning and implementation are necessary for success [9, 16].”
From Test Driven Development and Its Impact on Program Design and Software Quality: A Systematic Literature Review (2023) · cites this paper as [16]
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References 54 · Cited by 76
- Authors
- Bissi, W., Serra Seca Neto, A. G., & Emer, M. C. F. P.
- Corresponding author
- Bissi, Wilson
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 74
- Pages
- 45-54
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2281418997
- Cited by
- 76
- References
- 54
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 10 · 2023: 7 · 2022: 9 · 2021: 13 · 2020: 6 · 2019: 10 · 2018: 9 · 2017: 1 · 2016: 2
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information and Software Technology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Software › Software Testing and Debugging Techniques
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- test-driven development, software quality, developer productivity, agile software development, Extreme Programming
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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