Stimulus structures and mental representations in expert comprehension of computer programs

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×

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

Do developer perceptions have borders? Comparing C code responses across continents

Zhuang, Y., Yu, Y., DeLong, L. A., & Yeh, M. K. ‐. (2023) · Software Quality Journal · doi:10.1007/s11219-023-09654-0 · Cited by 2

Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations

Rawal, R., Pădurean, V.-A., Apel, S., Singla, A. K., & Toneva, M. (2025) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse55347.2025.00192 · Cited by 2

Learning to Program “Recycles” Preexisting Frontoparietal Population Codes of Logical Algorithms

Liu, Y., & Bedny, M. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.0314-25.2025 · Cited by 2

Context and Vision: Studying Two Factors Impacting Program Comprehension

Soh, Z. (2011) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/icpc.2011.37 · Cited by 2

MFV-Class: a multi-faceted visualization tool of object classes

Zhang, Z., Pan, Y., & Zhuang, Y. (2004) · Journal of Zhejiang University. Science A · doi:10.1631/jzus.2004.1374 · Cited by 2

How to Compare Program Comprehension in FOSD Empirically – An Experience Report

Feigenspan, J., Kästner, C., Leich, T., & Apel, S. (2009) · Cited by 2

An Empirical Study on Code Comprehension: Data Context Interaction Compared to Classical Object Oriented

Valdecantos, H. A., Tarrit, K., Mirakhorli, M. T., & Coplien, J. O. (2017) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/icpc.2017.23 · Cited by 2

Managing Knowledge Transfer in Software-Maintenance Outsourcing Transitions: A System-Dynamics Perspective

Krancher, O., & Dibbern, J. (2014) · Progress in IS · doi:10.1007/978-3-662-43820-6_9 · Cited by 2

An Economic and Cultural Commentary

Jones, D. M. (2005) · Cited by 2

A new standard for industrial control languages

Teralan, S., Ramcharan, D. J., & Bauer, T. A. (1990) · Computers & Industrial Engineering · doi:10.1016/0360-8352(90)90103-s · Cited by 2

Improving live debugging of concurrent threads through thread histories

Leske, M., Chiș, A., & Nierstrasz, O. (2017) · Science of Computer Programming · doi:10.1016/j.scico.2017.10.005 · Cited by 2

Intelligent Learning Support for Reusability Oriented Knowledge Organization in Programming Learning

Koike, K., Tomoto, T., Horiguchi, T., & Hirashima, T. (2020) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.35-5_c-j82 · Cited by 2

Towards a debugging tutor for object-oriented environments

du Boulay, B., Romero, P., Cox, R. J., & Lutz, R. (2003) · Sussex Research Online (University of Sussex) · Cited by 2

A Preliminary Model of Expert Programming,

Altmann, E. M., & John, B. E. (1995) · doi:10.21236/ada303005 · Cited by 2

Empirical Research on Program Comprehension

Boehm‐Davis, D. A. (2002) · Encyclopedia of Software Engineering · doi:10.1002/0471028959.sof103 · Cited by 2

VinEd — Asystem for programmanipulation through user-definable simultaneous views

Sajaniemi, J., & Ikonen, K. (1998) · Software - Concepts & Tools · doi:10.1007/s003780050016 · Cited by 2

From code comprehension model to tool capabilities

von Mayrhauser, A., & Vans, A. M. (2002) · International Conference on Computing and Information (ICCI) · doi:10.1109/icci.1993.315327 · Cited by 2

Open source programmers’ information seeking

Sharif, K. Y. (2012) · University of Limerick Institutional Repository (University of Limerick) · doi:10.34961/3472 · Cited by 2

Typographic Style is More

Oman, P., & Cook, C. R. (1990) · Cited by 2

IMPROVING THE EXPLANATORY POWER OF EXAMPLES BY A MULTIPLE PERSPECTIVES REPRESENTATION

Redmiles, D., & Rathke, C. (1994) · Cited by 2

An empirical comparison of program auralization techniques

Stefik, A. (2005) · Research Exchange (Washington State University) · Cited by 2

Human-Computer Interaction: A Brief Glimpse Of An Emerging Field

Kramer, A. F., & Schumacher, R. M. (1987) · Recent research in psychology · doi:10.1007/978-1-4612-4756-2_23 · Cited by 2

Source code comprehension: decoding the cognitive challenges of novice programmers

Khomokhoana, P. J. (2020) · Cited by 2

Hypermodelling - next level software engineering with data warehouses

Frey, T. (2013) · Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt) · doi:10.25673/3965 · Cited by 2

Transparency, holophrasting, and automatic layout applied to control structures for visual dataflow programming languages

Gauvin, S., & Banyasad, O. (2006) · doi:10.1145/1148493.1148504 · Cited by 1

Automatically Generating Questions About Scratch Programs

Obermüller, F., & Fraser, G. (2025) · ACM Global Computing Education Conference (CompEd) · doi:10.1145/3736181.3747131 · Cited by 1

Exploring the Link Between Problem-Solving Strategies and Programming Performance: A Comparative Analysis of High and Low Performers

Huang, S. C.-F., Chen, Z.-H., Lin, Y., Yeh, M. K. ‐., & Chen, Y. (2025) · Journal of Educational Computing Research · doi:10.1177/07356331251396440 · Cited by 1

Providing Information About Implemented Algorithms Improves Program Comprehension: A Controlled Experiment

Neumüller, D., Raschke, A., & Tichy, M. (2025) · International Conference on Evaluation and Assessment in Software Engineering (EASE) · doi:10.1145/3756681.3756968 · Cited by 1

On the Reliability of Code Comprehension Proxies

Arvan, E., Silva, N. D., Chaparro, O., & Kellogg, M. (2026) · IEEE/ACM International Conference on Automated Software Engineering (ASE) · doi:10.1145/3832783.3834425 · Cited by 1

AI Didn’t Make Programming Easier. It Just Made It Differently Difficult

Osborn, J. D. (2026) · Communications of the ACM · doi:10.1145/3795534 · Cited by 1

On development environments for aircraft modeling

Prochnow, S. H., Stenz, G., & Ziemer, S. (2012) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2012.6187343 · Cited by 1

Supporting developer-onboarding with enhanced resource finding and visual exploration

Wang, J. (2012) · Lincoln (University of Nebraska) · Cited by 1

Developer-centric models: easing access to relevant information in a software development environment

Fritz, T. (2011) · doi:10.14288/1.0052138 · Cited by 1

The Object Relational impedance mismatch from a cognitive point of view

Benvenuti, L., & van der Veer, G. C. (2014) · DSpace (Open University in the Netherlands) · Cited by 1

Learning and Teaching Programming

Robins, A. V. (2016) · doi:10.1081/e-ecst2-120054036 · Cited by 1

Utilizing anatomical information for signal detection in functional magnetic resonance imaging

Peitek, N., Brechmann, A., Tabelow, K., & Dickhaus, T. (2025) · F1000Research · doi:10.12688/f1000research.166549.1 · Cited by 1

Conducting Eye Tracking Studies in Software Engineering - Methodology and Pipeline

Sharif, B., Begel, A., & Maletic, J. I. (2023) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1109/icse-companion58688.2023.00097 · Cited by 1

Leveraging Generative Artificial Intelligence for Software Antipattern Detection

Miño, J., Andrade, R., Torres, J., & Chicaiza, K. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-64359-0_11 · Cited by 1

Mitigating the Effects of Structural Complexity on Open Source Software Maintenance through Accountability

Midha, V., & Slaughter, S. A. (2011) · Cited by 1

Solving-Oriented and Domain-Oriented Knowledge Structures: Their Application to Debugging Problem Solving Activity

Masmoudi, S. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44583-8_5 · Cited by 1

Program Comprehension Skills and Their Acquisition: A Call for an Ecological Paradigm

Teasley, B. (1993) · NATO ASI series. Series F : Computer and system sciences · doi:10.1007/978-3-662-11334-9_7 · Cited by 1

Executable Program Documentation Based on Debugging Break Points

Cheng, Y.-P., Chen, J., & Yu, Y.-Y. (2013) · Asia-Pacific Software Engineering Conference (APSEC) · doi:10.1109/apsec.2013.36 · Cited by 1

Seminars on Software Maintenance and Evolution: An Empirical Study of the Background Factors Affecting Student Success

Koskinen, J. (2009) · The Open Software Engineering Journal · doi:10.2174/1874107x00903010039 · Cited by 1

Representation of abstract concepts: Differences across computing disciplines

Benvenuti, L., Kooijmans, C. F. N. L., Versendaal, J., & van der Veer, G. C. (2015) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2015.7344411 · Cited by 1

Code Reading Techniques

Zhu, Y. (2016) · Apress eBooks · doi:10.1007/978-1-4842-2346-8_7 · Cited by 1

Analyzing Reading Pattern of Simple C Source Code Consisting of Only Assignment and Arithmetic Operations Based on Data Dependency Relationship by Using Eye Movement

Matsumoto, S., Hanafusa, R., Hayashi, Y., & Hirashima, T. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-92043-6_44 · Cited by 1

GeekyNote

Cheng, Y.-P., Hsiung, W.-N., Wu, Y., & Chen, L.-H. (2020) · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · doi:10.1145/3377812.3382136 · Cited by 1

SHERLOCK.0 - Kognitive Modellierung von Debuggingstrategien

Mehmanesh, H., & Krems, J. F. (1988) · Informatik-Fachberichte · doi:10.1007/978-3-642-74064-0_24 · Cited by 1

Reduction of Cognitive Load Through the Addition of High-Level Semantics to ReactoGraph

Gauvin, S., & Smedley, T. J. (2005) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2004.43 · Cited by 1

Information Types and Cognitive Principles in Program Comprehension: Towards Adaptable Support for Novice Visual Programmers

Good, J., & Brna, P. (1998) · Lecture notes in computer science · doi:10.1007/3-540-68716-5_37 · Cited by 1

Understanding Ajax Applications by using Trace Analysis

Matthijssen, N. (2010) · Research Repository (Delft University of Technology) · Cited by 1

Medida de la integración del conocimiento estadístico y psicológico

Algarabel, S., & Rosa, E. (2001) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1

Introduction to the Special Issue “Best of Empirical Studies of Programmers 7”

Wiedenbeck, S., & Scholtz, J. C. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1999.0266 · Cited by 1

Intelligent fault localization in software

Burnstein, I., Jani, N., Mannina, S., Tamsevicius, J., Goldshteyn, M., & Lendi, L. (1992) · IEEE International Test Conference (ITC) · doi:10.1109/test.1992.527918 · Cited by 1

Design extraction by adiabatic multi-perspective abstraction

Хан (1994) · International Conference on Software Maintenance · doi:10.1109/icsm.1994.336775 · Cited by 1

Automated assistance to program understanding

Choi, E. M., & von Mayrhauser, A. (2002) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.1994.369160 · Cited by 1

Integrierte Dokumentation für Software-Module

Kircher, M. (2012) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-2927 · Cited by 1

Measuring the effects of low assistive vs. moderately assistive environments on novice programmers

Brown, M. R., & Dillon, E. (2012) · Cited by 1

Teaching Novices Programming: A Programming Process Using Goals & Plans with a Visual Programming Environment

Hu, M. (2015) · Otago University Research Archive (University of Otago) · Cited by 1

Problems and solutions: Maintaining an integrated system in a community of volunteers

Østerlie, T. (2009) · Cited by 1

Alphabets & languages

Sibley, E. J. (1990) · Communications of the ACM · doi:10.1145/78607.78608 · Cited by 1

An empirical study on code comprehension: DCI compared to OO

Valdecantos, H. A. (2016) · RIT Scholar Works (Rochester Institute of Technology) · doi:10.13140/rg.2.2.29331.48169 · Cited by 1

The evaluation of a pedagogical-program development environment for Novice programmers : a comparative study

Vogts, D. (2007) · Nelson Mandela University Research Repository · Cited by 1

Focal structures in Prolog.

Romero, P. (1999) · PPIG · Cited by 1

Do People Prefer "Natural" code?Preprint

Casalnuovo, C., Lee, K., Wang, H., Dévanbu, P., & Morgan, E. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1910.03704 · Cited by 1

A study of novice programmer performance and programming pedagogy.

Dacey, M. (2018) · University Of Wales Trinity Saint David Research Repository (University of Wales Trinity Saint David) · doi:10.82227/repository.uwtsd.ac.uk.00001249 · Cited by 1

HCPC: Human centric program comprehension by grouping static execution scenarios

Bhattacharjee, A. (2021) · HARVEST (University of Saskatchewan) · Cited by 1

Application Domain Knowledge in Computer ProgramComprehension and Enhancement

Shaft, T. M. (1995) · Journal of the Association for Information Systems

Multiple Perspectives in Interactive System Design

McWhirter, J. D., Redmiles, D., & Stolze, M. (1996)

System Debugging: A Broad Perspective

Freeman, J., Riedl, T. R., & Ward, R. J. (2002) · Encyclopedia of Software Engineering · doi:10.1002/0471028959.sof348

Using computerized procedures for testing and training abstract comparative relations

Vitale, A., & Cullinan (2009)

Why Computer Interfaces Are Not Like Paintings: the user as a deliberate reader

Petre, M., & Price, B. A. (1992)

Commentary on ?Domain oriented design environments? by Gerhard Fischer

Sutcliffe, A. (1994) · Automated Software Engineering · doi:10.1007/bf00872290

Improving the design of interactive software

Redmiles, D. (2000) · ACM SIGSOFT Software Engineering Notes · doi:10.1145/340855.340999

An Investigation of Java Abstraction Usage for Program Modifications

O'Shea, P., & Exton, C. (2005) · IEEE International Conference on Program Comprehension (ICPC) · doi:10.1109/wpc.2005.9

Work in progress - evolution of code reusing practices during a sequence of three CS courses

Clúa, O., Feldgen, M., & Wachenchauzer, R. (2007) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie.2007.4417922

Message Passing with Communication Structures

Yaikhom, G. (2006) · ERA

Functionality based refactoring : improving source code comprehension

Beiko, J. L. (2008) · QSpace (Queen's University Library)

VERDICTS: Visual Exploratory Requirements Discovery and Injection for Comprehension and Testing of Software

Bolazar, S. K. (2013) · Syracuse University Libraries (Syracuse University)

Symbolic Reductionist Model for Program Comprehension

Laitila, E., & Legrand, S. (2007) · Mexican International Conference on Artificial Intelligence · doi:10.1109/micai.2007.7

READABLE: AN APPROACH AND AN ENVIRONMENT FOR DEVELOPING MAINTAINABLE WEB SOFTWARE

Chua, C. E. H., Purao, S., & Storey, V. C. (2003) · Journal of the Association for Information Systems

The New C Standard (Excerpted material) An Economic and Cultural Commentary

Jones, D. M. (2008)

PROBLEM SOLVING STRATEGIES PROGRAM COMPREHENSION

Koenemann, J., & Robertson, S. P. (1991)

A TOOL FOR AURALIZED DEBUGGING

Chen, Y. (2005) · Research Exchange (Washington State University)

Methodology for Introducing Concurrency into Sequential Programs

Xu, X. (2014) · uO Research (University of Ottawa) · doi:10.20381/ruor-6772

Locating Term Introductions to support Code Comprehension.

Nonnen, J., & Speicher, D. (2011)

HeapVision:Debugging by Interactive Heap Navigation

Ou, J. (2014) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-010154467

The Psychology of Fluent Use

Saariluoma, P. O., Cañas, J. J., & Leikas, J. (2016) · Palgrave Macmillan UK eBooks · doi:10.1057/978-1-137-53047-9_4

C-TRAIL: A Program Comprehension Approach for Leveraging Learning Models in Automated Code Trail Generation

Oberhauser, R. (2016) · International Conference on Software Technologies (ICSOFT) · doi:10.5220/0005974901770185

Understanding Programmers' Working Context by Mining Interaction Histories

Zou, L. (2013) · UWSpace (University of Waterloo)

Intentional Meaning of Programs

Informatik, F. F., & München, D. T. U. (2014)

CodeCAM: capturing programmer's reaction during coding session

Shinyama, Y., Arahori, Y., & Gondow, K. (2018) · doi:10.1109/maint.2018.8323087

The influence of class structure on program comprehension.

Alardawi, A. S., Khazaei, B., & Siddiqi, J. (2011)

Questions programmers ask during software evolution tasks

Sillito, J., Murphy, G. C., & Volder, K. D. (2006)

On The Human Factors Impact of Polyglot Programming on Programmer Productivity

Uesbeck, P. M. (2020) · Digital Scholarship - UNLV (University of Nevada Reno) · doi:10.34917/18608807

An In-Depth Look at Learning Computer Language Syntax in a High-Repetition Practice Environment

Gonzales, S. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/b01c-6c80

Towards Rebuilding the Design Model of Programs by Static Analysis and Abstraction

Wen, Y., Chen, L., & Wang, J. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1828/1/012152

Characteristics of mental representations in novices and experts in Java

Parastar, M. (2021)

References

(2010) · Elsevier eBooks · doi:10.1016/b978-0-12-381541-5.00038-9

Seminars on Software Maintenance and Evolution: An Empirical Study of the Background Factors Affecting Student Success

Koskinen, J. (2013) · The Open Software Engineering Journal · doi:10.2174/1874107x01003010039

Structural Knowledge and Language Notational Properties in Program Comprehension

Romero, P., & du Boulay, B. (2005) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2004.50 · Cited by 5

Mental representations of programs by novices and experts

Fix, V., Wiedenbeck, S., & Scholtz, J. C. (1993) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/169059.169088 · Cited by 94

Characteristics of the mental representations of novice and expert programmers: an empirical study

Wiedenbeck, S., Fix, V., & Scholtz, J. C. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1084 · Cited by 100

Mental representations of expert procedural and object-oriented programmers in a software maintenance task

Corritore, C. L., & Wiedenbeck, S. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1998.0236 · Cited by 64

What do novices learn during program comprehension?

Corritore, C. L., & Wiedenbeck, S. (1991) · International Journal of Human-Computer Interaction · doi:10.1080/10447319109526004 · Cited by 112