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Stimulus structures and mental representations in expert comprehension of computer programs

Pennington, Nancy·1987·Cognitive Psychology

DOI 10.1016/0010-0285(87)90007-7

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Human Problem Solving.
Axten, N., Newell, A., & Simon, H. A. (1973) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063712 · Cited by 6,886
Proceedings of the 19th International Joint Conference on Artificial Intelligence
Pujol, J. M., Delgado, J., Ramon Sangüesa, A., & Flache, A. (2005) · International Joint Conference on Artificial Intelligence · Cited by 5,771
Toward a model of text comprehension and production.
Kintsch, W., & van Dijk, T. A. (1978) · Psychological Review · doi:10.1037/0033-295x.85.5.363 · Cited by 5,298
Mental Models
Johnson-Laird, P. N. (1983) · Cited by 5,190
SCRIPTS, PLANS, GOALS, AND UNDERSTANDING
Schank, R. C., & Abelson, R. P. (1988) · Elsevier eBooks · doi:10.1016/b978-1-4832-1446-7.50019-4 · Cited by 4,544
Perception in chess
Chase, W. G., & Simon, H. A. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90004-2 · Cited by 4,479 · cited 1×
“First, well-known empirical results across a wide range of problem-solving domains, such as chess (e.g., Chase & Simon, 1973a, 1973b), GO (Reitman, 1976), bridge (Engle & Bukstel, 1978), music composition (Halpern & Bower, 1982; Sloboda, 1976), and computer programming (McKeithen et al., 1981;…”
Visual Information Processing
Solso, R. L., & Chase, W. G. (1974) · The American Journal of Psychology · doi:10.2307/1421395 · Cited by 2,134
Remembrance of things parsed: Story structure and recall
Mandler, J. M., & Johnson, N. S. (1977) · Cognitive Psychology · doi:10.1016/0010-0285(77)90006-8 · Cited by 2,085
NOTES ON A SCHEMA FOR STORIES
Rumelhart, D. E. (1975) · Representation and Understanding · doi:10.1016/b978-0-12-108550-6.50013-6 · Cited by 1,671
Expertise in Problem Solving.
Michelene, T. H., Glaser, R. A., & Rees, E. T. (1981) · Defense Technical Information Center (DTIC) · Cited by 1,529

Show all 82 references

Research works printed but not linked: 4

Hayes, 1977, Psychological differences among problem isomorphs, Vol. 2
Pennington, 1985, Cognitive components of expertise in computer programming: A review of the literature, Psychological Documents, 15
Rumelhardt, 1980, A reply to Black and Wilensky, Cognitive Science, 4, 313
Stein, 1979, An analysis of story comprehension in elementary school children, Vol. 2

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Krems, J. F. (1996) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-663-12111-4_5 · Cited by 12
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Ramanujan, S., & Cooper, R. (1994) · Omega · doi:10.1016/0305-0483(94)90078-7 · Cited by 12
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Visual support for incremental abstraction and refinement in Ada 95
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Plan-based representations of pascal and fortran code
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Plimmer, B. (2004) · Cited by 11
Framework for measuring program comprehension
Siegmund, J. (2012) · Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt) · doi:10.25673/3877 · Cited by 11
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Parnin, C., Siegmund, J., & Peitek, N. (2017) · PPIG · Cited by 10
Program comprehension levels of abstraction for novices
Al-Shargabi, A. A., Aljunid, S. A., Annamalai, M., Shuhidan, S. M., & Zın, A. M. (2015) · International Conference on Computer, Communications, and Control Technology (I4CT) · doi:10.1109/i4ct.2015.7219568 · Cited by 10
Program understanding during software adaptation tasks
von Mayrhauser, A., & Vans, A. M. (2002) · International Conference on Software Maintenance · doi:10.1109/icsm.1998.738523 · Cited by 10
Extending design environments to software architecture design
Robbins, J. E., Hilbert, D. M., & Redmiles, D. (2002) · Knowledge-Based Software Engineering Conference (KBSE) · doi:10.1109/kbse.1996.552824 · Cited by 10
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Lucas, M. R. (2003) · Cited by 9
Performing Tasks Can Improve Program Comprehension Mental Model of Novice Developers
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Program comprehension with four-layered mental model
Nosáľ, M., & Porubän, J. (2015) · International Conference on Engineering of Modern Electric Systems · doi:10.1109/emes.2015.7158420 · Cited by 9
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Dearman, D., Cox, A., & Fisher, M. L. (2005) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/wpc.2005.5 · Cited by 9
Building the IT Workforce of the Future
Armstrong, D. J., Nelson, H. J., Nelson, K. M., & Narayanan, V. K. (2008) · Information Resources Management Journal · doi:10.4018/irmj.2008040104 · Cited by 9
Long Term Comprehension of Software Systems: A Methodology for Study.
Douce, C. R. (2001) · Cited by 9
Novice comprehension of Object-Oriented OO programs: An empirical study
Alardawi, A. S., & Agil, A. M. (2015) · World Congress on Information Technology and Computer Applications (WCITCA) · doi:10.1109/wcitca.2015.7367057 · Cited by 9
An ontology-based program comprehension model
Zhang, Y. (2007) · Cited by 9
Cognitive processes in software fault detection: A review and synthesis
Bisant, D., & Groninger, L. D. (1993) · International Journal of Human-Computer Interaction · doi:10.1080/10447319309526064 · Cited by 9
Is there any difference in novice comprehension of a small program written in the event-driven and object-oriented styles?
Khazaei, B., & Jackson, M. (2003) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/hcc.2002.1046336 · Cited by 9
Software Reverse Engineering as a Sensemaking Task
Bryant, A. R., Mills, R. F., Peterson, G. L., & Grimaila, M. R. (2012) · Cited by 9
User Psychology in Interaction Design: The Role of Design Ontologies
Saariluoma, P. O., Parkkola, H., Honkaranta, A., Leppänen, M., & Lamminen, J. (2008) · Springer eBooks · doi:10.1007/978-1-84800-385-9_4 · Cited by 9
On the role of program understanding in re-engineering tasks
von Mayrhauser, A., & Vaus, A. M. (2002) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.1996.495930 · Cited by 9
The impact of Pascal education on debugging skill
Stone, D. N., Jordan, E. W., & Wright, M. K. (1990) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(05)80116-6 · Cited by 9
What model(s) for program understanding?Preprint
Détienne, F. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0702004 · Cited by 9
Objects of Our Desire: Empirical Research on Object-Oriented Development
Curtis, B. (1995) · Human-Computer Interaction · doi:10.1207/s15327051hci1002&3_6 · Cited by 9
Scalable interfaces to support program comprehension
Citrin, W. V., Santiago, C., & Zorn, B. (2002) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/wpc.1996.501127 · Cited by 9
A Survey of Concepts Location Enhancement for Program Comprehension and Maintenance
Alhindawi, N., Alsakran, J., Rodan, A., & Faris, H. (2014) · Journal of Software Engineering and Applications · doi:10.4236/jsea.2014.75038 · Cited by 8
Software Quality and Security in Teachers' and Students' Codes When Learning a New Programming Language
Boutnaru, S., & Hershkovitz, A. (2015) · Interdisciplinary Journal of e-Skills and Lifelong Learning · doi:10.28945/2292 · Cited by 8
A Study of Tracing and Writing Performance of Novice Students in Introductory Programming
Affandy, Suryana, N., Salam, S., & Noersasongko, E. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-22203-0_48 · Cited by 8
The nature of an object-oriented program: How do practitioners understand the nature of what they are creating?
Thompson, E., & Kinshuk (2011) · Computer Science Education · doi:10.1080/08993408.2011.607010 · Cited by 8
Reading Hierarchies in Code
Park, T. H., Kim, M. C., Chhabra, S., Lee, B., & Forte, A. (2016) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/2899415.2899435 · Cited by 8

Authors: Pennington, N.
Affiliations: University of Chicago (US)
Corresponding author: Pennington, Nancy
Venue: Cognitive Psychology
Publisher: Elsevier BV
Published: 1987-07
Volume: 19
Issue: 3
Pages: 295-341
ISSN: 0010-0285 (ISSN-L)
DOI: 10.1016/0010-0285(87)90007-7
OpenAlex: W2154671002
Cited by: 526
References: 82
Citations by year: 2026: 14 · 2025: 16 · 2024: 3 · 2023: 10 · 2022: 8 · 2021: 12 · 2020: 18 · 2019: 9 · 2018: 12 · 2017: 11 · 2016: 10 · 2015: 11 · 2014: 17 · 2013: 10 · 2012: 17
FWCI: 32.83
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Cognitive Psychology (publishedVersion)
Defense Technical Information Center (DTIC) (submittedVersion)
Topics: Physical Sciences › Computer Science › Information Systems › Software Engineering Research
Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
Keywords: program comprehension, mental representation, programming knowledge, control flow, functional relationships, goal hierarchy, expert programmers, task goals

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Stimulus structures and mental representations in expert comprehension of computer programs

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