References

Alexander, P. A. 1992, ‘Domain knowledge: evolving themes and emerging concerns’, Educational Psychologist, vol. 27, no. 1, pp. 33-51.

Alexander, P. A. and Judy, J. E. 1988, ‘The interaction of domain-specific and strategic knowledge in academic performance’, Review of Educational Research, vol. 58, no. 4, pp. 375-404.

Blum, B. A. 1989, ‘A paradigm for the 1990s validated in the 1980s’, Proceedings of the AIAA Conference, pp. 502-11.

Bodart, F., Patel, A., Sim, M. and Weber, R. 2001, ‘Should optional properties be used in conceptual modelling? a theory and three empirical tests’, Information Systems Research, vol. 12, no. 4, pp. 384-405.

Broadbent, D. E. 1971, Decision and Stress, London: Academic Press.

Brooks, F. P. 1987, ‘No silver bullet: essence and accidents of software engineering’, IEEE Computer, vol. 20, no. 4, pp. 10-9.

Burkhardt, J., Détienne, F. and Wiedenbeck, S. 2002, ‘Object-oriented program comprehension: effect of expertise, task and phase’, Empirical Software Engineering, vol. 7, no. 2, pp. 115-56.

Burton-Jones, A. and Weber, R. 1999, ‘Understanding relationships with attributes in entity-relationship diagrams’, Proceedings of the Twentieth International Conference on Information Systems, pp. 214-28.

Chen, P. P. 1976, ‘The Entity-Relationship Model — Toward a unified view of data’, ACM Transactions of Database Systems, vol. 1, no. 4, pp. 9-36.

Chi, M. T. H. and Glaser, R. 1985, ‘Problem solving ability’, in Sternberg R. J. (ed.), Human Abilities: An Information Processing Approach, NY: W. H. Freeman and Company.

Codd, E. F. 1970, ‘A relational model of data for large shared data banks’, Communications of the ACM, vol. 13, no. 6, pp. 377-87.

Corritore, C. L. and Wiedenbeck, S.1999, ‘Mental representations of expert procedural and object-oriented programmers in a software maintenance task’, International Journal of Human-Computer Studies, vol. 50, pp. 61-83.

Curtis, B., Krasner, H. and Iscoe, N. 1988, ‘A field study of the software design process for large scale systems’, Communications of the ACM, vol. 31, no. 11, pp. 1268-87.

Durso, F. T., Hackworth, C., Truitt, T. R., Crutchfield, J., Nikolic, D. and Manning, C. A. 1998, ‘Situation awareness as a predictor of performance in en route air traffic controllers’, Air Traffic Control Quarterly, vol. 6, no. 1.

Durso, F. T. and Gronlund, S. D. 1999, ‘Situation awareness’, in Durso, F. T., Nickerson, R. S., Schvaneveldt, R. W., Dumais, S. T., Lindsay, D. S. and Chi, M. T. (eds), Handbook of Applied Cognition, John Wiley and Sons.

Elmasri, R. and Navathe, S. B. 1994, Fundamentals of Database Systems, (2nd ed.) Benjamin/ Cummings Publishing Co., Redwood City, CA.

Gemino, A. 1999, ‘Empirical methods for comparing system analysis modelling techniques’, Unpublished PhD thesis, University of British Columbia, Vancouver, B.C., Canada.

Gemino, A. and Wand, Y. 2003, ‘Evaluating modelling techniques based on models of learning’, Communications of the ACM, vol. 46, no. 10, pp. 79-84.

Glass, R. L. and Vessey, I. 1992, ‘Toward a taxonomy of application domains: history’, Journal of Systems and Software, vol. 17, no. 2, pp. 189-99.

Greeno, J. 1978, ‘Natures of problem-solving abilities’, in Estes W. (ed.) Handbook of Learning and Cognitive Processes, vol. 5, Hillsdale, NJ: Lawrence Erlbaum Associates.

Hogg, D. N., Folleso, K., Strand-Volden, F. and Torralba, B. 1995, ‘Development of a situation awareness measure to evaluate advanced alarm systems in nuclear power plant control rooms’, Ergonomics, vol. 11, pp. 394-413.

Kahneman, D. 1973, Attention and Effort, Englewood Cliffs, NJ: Prentice-Hall.

Khatri, V., Vessey, I., Ramesh, V., Clay, P. and Park, S-J. 2006, ‘Comprehension of conceptual schemas: Exploring the role of application and IS domain knowledge’, Information Systems Research, vol. 17, no. 1, pp. 81-99.

Kitchner, K. S., 1983, ‘Cognition, metacognition, and epistemistic cognition: A three-level model of cognitive processing’, Human Development, vol. 26, pp. 222-32.

Koch, I. and Prinz, W. 2002, ‘Process interference and code overlap in dual-task performance’, Journal of Experimental Psychology: Human Perception and Performance, vol. 28, no. 1, pp. 192-201.

Mayer, R. E. 1991, Thinking, Problem Solving, Cognition, W. H. Freeman and Company, New York, NY.

McPeck, H. 1990, ‘Critical thinking and subject specificity: a reply to Ennis’, Educational Researcher, vol. 19, no. 4, pp. 10-2.

Navon, D. 1990, ‘Exploring two methods for estimating performance tradeoff’, Bulletin of the Psychonomic Society, vol. 28, no. 2, pp. 155-7.

Navon, D. and Gopher, D. 1979, ‘On the economy of the human processing systems’, Psychological Review, vol. 86, pp. 254-5.

Navon, D. and Miller, J. 1987, ‘Role of outcome conflict in dual-task interference’, Journal of Experimental Psychology: Human Perception and Performance, vol. 13, no. 3, pp. 435-48.

Pashler, H. 1994, ‘Dual-task interference in simple tasks: Data and theory’, Psychological Bulletin, vol. 116, no. 2, pp. 220-44.

Pashler, H. and O'Brien, S. 1993, ‘Dual-task interference and the cerebral hemispheres’, Journal of Experimental Psychology-Human Perception and Performance, vol. 19, no. 2, pp. 315-30.

Pennington, N. 1987a, ‘Stimulus structures and mental representations in expert comprehension of computer programs’, Cognitive Psychology, vol. 19, pp. 295-341.

Pennington, N. 1987b, ‘Comprehension strategies in programming’, in Olson G. M., Sheppard S., and Soloway, E. (eds), Empirical Studies of Programmers: First Workshop, Ablex Publishing, Norwood, NJ.

Purao, S., Rossi, M. and Bush, A. 2002, ‘Toward an understanding of the use of problem and design spaces during object-oriented system development’, Information and Organisation, vol. 12, pp. 249-81.

Reitman, W. R. 1964, ‘Heuristic decision procedures, open constraints, and the structure of ill-defined problems’, in Shelly, M. W. and Bryan, G. L. (eds), Human Judgements and Optimality, New York: John Wiley and Sons.

Shaft, T. M. and Vessey, I. 1995, ‘The relevance of application domain knowledge: The case of computer program comprehension’, Information Systems Research, vol. 6, no. 3, pp. 286-99.

Shaft, T. M. and Vessey, I. 1998, ‘The relevance of application domain knowledge: Characterising the computer program comprehension process’, The Journal of Management Information Systems, vol. 15, no. 1, pp. 51-78.

Shaft, T. M. and Vessey, I. 2006, ‘The role of cognitive fit in the relationship between software comprehension and modification’, MIS Quarterly, vol. 30, no. 1, pp. 29-55.

Shanks, G., Tansley, E., Nuredini, J., Tobin, D, Moody, D. and Weber, R. 2002, ‘Representing part-whole relationships in conceptual modelling: An empirical evaluation’, Proceedings of the Twenty-Third International Conference on Information Systems, pp. 89-100.

Shanks, G., Nuredini, J., Tobin, D, Moody, D. and Weber, R. 2003, ‘Representing things and properties in conceptual modelling: An empirical investigation’, European Conference on Information Systems.

Shneiderman, B. and Mayer, R. E. 1979, ‘Syntactic/semantic interactions in programmer behavior: A model and experimental results’, International Journal of Computer and Information Science, vol. 8, pp. 219-38.

Sinnott, J. D., 1989, ‘A model for solution of ill-structured problems: Implications for everyday and abstract problem solving’, in Sinnott, J. D. (ed.), Everyday problem solving: Theory and application, Praeger, New York.

Taylor, R. M., Finnie, S. and Hoy, C. 1997, ‘Cognitive rigidity: The effects of mission planning and automation on cognitive control in dynamic situations’, 9th International Symposium on Aviation Psychology, Columbus, OH.

Vans, A. M., von Mayrhauser, A. and Somlo, G. 1999, ‘Program understanding behavior during corrective maintenance of large-scale software’, International Journal of Human-Computer Studies, vol. 51, pp. 31-70.

Van Selst, M. and Jolicoeur, P. 1997, ‘Decision and response in dual-task interference’, Cognitive Psychology, vol. 33, no. 3, pp. 266-307.

Vessey, I. 1991, ‘Cognitive fit: A theory-based analysis of the graph versus tables literature’, Decision Sciences, vol. 22, no. 2, pp. 219-40.

Vessey, I. 1994, ‘The effect of information presentation on decision making: An analysis using cost-benefit theory’, Information and Management, vol. 27, pp. 103-19.

Vessey, I. 2006, ‘The theory of cognitive fit: One aspect of a general theory of problem solving?’, in Zhang, P. and Galletta, D. (eds), Human-computer interaction and management information systems: Foundations, Advances in Management Information Systems Series, Armonk, NY: M.E. Sharpe.

Vessey, I. and Conger, S. 1993, ‘Learning to specify information requirements: The relationship between application and methodology’, Journal of Management Information Systems, vol. 10, no. 2, pp. 177-201.

von Mayrhauser, A. and Vans, A. M. 1995, ‘Industrial experience with an integrated code comprehension model’, Software Engineering Journal, vol. 22, no. 6, pp. 171-82.

Von Mayrhauser, A. and Vans, A. M. 1996, ‘Identification of dynamic comprehension processes during large scale maintenance’, IEEE Transactions on Software Engineering, vol. 22, no. 6, pp. 424-37.

von Mayrhauser, A., Vans, A. M. and Howe, A. E. 1997, ‘Program understanding behavior during enhancement of large-scale software’, Software Maintenance: Research and Practice, vol. 9, pp. 299-327.

Voss, J. F. and Post, T. A., 1988, ‘On the solving of ill-structured problems’, in Chi M. H., Glaser, R. and Farr M. J. (eds), The Nature of Expertise, Hillsdale, NJ: Lawrence Erlbaum Associates.

Whitaker, L. A. 1979, ‘Dual-task interference as a function of cognitive processing load’, Acta Psychologica, vol. 43, no. 1, pp. 71-84.

Wickens, C. D. 2002, ‘Multiple resources and performance prediction’, Theoretical Issues in Ergonomic Science, vol. 3, no. 2, pp. 159-77.

Zhang, J. 1997, ‘The nature of external representations in problem solving’, Cognitive Science, vol. 21, no. 2, pp. 179-217.

Zhang, J. and Norman, D. A. 1994, ‘Representations in distributed cognitive tasks’, Cognitive Science, vol. 57, pp. 87-122.