The sensemaking-coevolution-implementation theory of software design
Open accessThe 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
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.
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?
According to Sensemaking-Coevolution-Implementation Theory, sensemaking is one of the core activities in engineering software systems.
“According to Sensemaking-Coevolution-Implementation Theory, sensemaking is one of the core activities in engineering software systems (Ralph, 2015).”
From A software engineering perspective on engineering machine learning systems: State of the art and challenges (2021) · cites this paper as Ralph, 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 239 · Cited by 60
Research works printed but not linked: 8
- N. Cross, K. Dorst, N. Roozenburg, Research in Design Thinking, Delft University Press, 1992.
- M. Maher, J. Poon, S. Boulanger, Formalising design exploration as co-evolution: a combined gene approach, in: Preprints of the Second IFIP WG5.2 Workshop on Advances in Formal Design Methods for CAD, 1995, pp. 1-28.
- J.G. March, H.A. Simon, Organizations, Wiley, 1958.
- P. Ralph, Sensemaking-coevolution-implementation theory: a model of the software engineering process in practice, in: Proceedings of the 1st SEMAT Workshop on a General Theory of Software Engineering, SEMAT.org, 2012.
- P. Ralph, E. Narros, An exploratory case study of the complexity/agility relationship in small software design projects, in: Proceedings of the Pacific Asia Conference on Information Systems, AIS, 2013.
- H.A. Simon, The Sciences of the Artificial, MIT Press, 1996.
- E. Sober, Testability, Proc. Addresses Am. Philos. Assoc. 73 (2) (1999) 47-76.
- I. Sommerville, Software Engineering, Addison Wesley, 1996.
- Authors
- Ralph, P.
- Affiliations
- University of Auckland (NZ)
- Corresponding author
- Ralph, Paul
- ORCID
- Ralph, Paul
- Venue
- Science of Computer Programming
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 101
- Pages
- 21-41
- ISSN
- 0167-6423 (ISSN-L)
- OpenAlex
- W3125453126
- Cited by
- 60
- References
- 239
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 8 · 2022: 4 · 2021: 6 · 2020: 5 · 2019: 3 · 2018: 7 · 2017: 2 · 2016: 2 · 2015: 9 · 2014: 4 · 2013: 4 · 2012: 1
- FWCI
- 15.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Science of Computer Programming (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- ResearchSpace (University of Auckland) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- National Sciences and Engineering Research Council of Canada
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Software Engineering Methodologies
- Keywords
- sensemaking, coevolution, implementation, software development teams, design space, schemas, process theory, software development practices, information system development, interdisciplinary design
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