Software-effort estimation with a case-based reasoner

Journal of Experimental and Theoretical Artificial Intelligence

Volumn 8, Issue 3-4, 1996, Pages 341-363

  Prietula, Michael J ^a   Vicinanza, Steven S ^b   Mukhopadhyay, Tridas ^c  

^a UNIVERSITY OF FLORIDA   (United States)

^b Electronic Data Systems   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030503529     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/095281396147366     Document Type: Article

References (83)

1. Abdel-Hamid, T. and Madnick, S. (1986) Impact of schedule estimation on software project behavior. IEEE Software, July: 69-75.
2. Abdel-Hamid, T. and Madnick, S. (1991) Software Project Dynamics: An Integrated Approach (Englewood Cliffs, NJ: Prentice Hall).
3. Aha, D. (1991) Case-based learning algorithms. Proceedings: Case-Based Reasoning Workshop. Defense Research Projects Agency, Information Science and Technology Office, pp. 147-158.
4. Albrecht, A. and Gaffney, J. (1983) Software function, source lines of code, and development effort prediction: a software science validation. IEEE Transactions on Software Engineering, SE-9(6): 639-648.
5. Anderson, J. (ed.) (1981) Cognitive Skills and Their Acquisition (Hillsdale, NJ: Lawrence Erlbaum).
6. Anderson, J. (1983) The Architecture of Cognition (Cambridge, MA: Harvard University Press).
7. Anderson, J. (1990) The Adaptive Character of Thought (Hillsdale, NJ: Lawrence Erlbaum).
8. Anderson, J. (1993) Rules of the Mind (Hillsdale, NJ: Lawrence Erlbaum).
9. Ashley, K. and Rissland, E. (1988) A case-based approach to modeling legal expertise. IEEE Expert, Fall: 70-77.
10. Bain, W. (1989) Judge. In C. Riesbeck and R. Shank (eds) Inside Case-based Reasoning (Hillsdale, NJ: Lawrence Erlbaum).
11. Banker, R. and Kemerer, C. (1989) Scale economies in new software development. IEEE Transactions on Software Engineering, 15(10): 1199-1205.
12. Bareiss, R. and King, J. (1989) Similarity assessment in case-based reasoning. In Proceedings of the Second Workshop on Case-based Reasoning (San Mateo, CA: Morgan Kaufmann), pp. 67-71.
13. Bechtel, W. and Abrahamsen, A. (1991) Connectionism and the Mind (Cambridge, MA: Basil Blackwell).
14. Behrens, C. (1983) Measuring the productivity of computer systems development activities with Function Points. IEEE Transactions on Software Engineering, 9(6): 648-652.
15. Benbasat, I. and Vessey, I. (1980) Programmer and analyst time/cost estimation. MIS Quarterly, 4(2): 31-43.
16. Boehm, B. (1981) Software Engineering Economics (Englewood Cliffs, NJ: Prentice Hall).
17. Boehm, B. (1984) Software engineering economics. IEEE Transactions on Software Engineering, 10(1): 4-21.
18. Brooks, F. P. (1975) The Mythical Man-Month (Reading, MA: Addison-Wesley).
19. Campbell, R., Brown, N. and DiBello, L. (1992) The programmer's burden: Developing expertise in programming. In R. Hoffmann (ed.) The Psychology of Expertise: Cognitive Research and Empirical AI (New York: Springer-Verlag). (Available from Hillsdale, NJ: Erlbaum.)
20. Cote, V., Bourque, P., Oligny, S. and Rivard, N. (1988) Software metrics: An overview of recent results. The Journal of Systems and Software, 8: 121-131.
21. DeMarco, T. (1982) Controlling Software Projects (New York: Yourden Press).
22. Domeshek, E. (1991) Indexing stories as social advice. In Proceedings of the Ninth National Conference on Artificial Intelligence: AAAI-91, Volume 1 (Menlo Park, CA: AAAI Press) pp. 16-21.
23. Eimas, P. and Galaburda, A. (eds) (1990) Neurobiology of Cognition (Cambridge, MA: MIT Press).
24. Elstein, A., Shulman, L. and Sprafka, S. (1978) Medical Problem Solving: An Analysis of Clinical Reasoning (Cambridge, MA: Harvard University Press).
25. Eysenck, M. and Keane, M. (1990) Cognitive Psychology: A Student's Handbook (Hillsdale, NJ: Lawrence Erlbaum).
26. Feigenbaum, E. (1977) The art of artificial intelligence: Themes and case studies of knowledge engineering. In Proceedings of the 5th International Joint Conference on Artificial Intelligence: IJCAI-77, Cambridge, MA.
27. Gentner, D. (1987) The mechanisms of analogical learning. In S. Vosniadou and A. Ortony (eds) Similarity, Analogy, and Thought (New York: Cambridge University Press).
28. Gentner, D. (1988) Analogical inference and analogical access. In A. Prieditis (ed.) Analogica (San Mateo, CA: Morgan Kaufmann).
29. Golding, A. and Rosenbloom, P. (1991) Improving rule-based systems through case-based reasoning. In Proceedings of the Ninth National Conference on Artificial Intelligence: AAAI-91, Volume 1 (Menlo Park, CA: AAAI Press) pp. 22-27.
30. Gulezian, R. (1991) Reformulating and calibrating COCOMO. Journal of Systems Software, 16, 236-242.
31. Holland, J. (1992) Adaptation in Natural and Artificial Systems (Cambridge, MA: MIT Press).
32. Jeffery, D. (1987) A software development productivity model for MIS environments. Journal of Systems and Software, 7: 115-125.
33. Johnson, P., Duran, A. S., Hassebrock, F., Moller, J., Prietula, M., Feltovich, P. and Swanson, D. (1981) Expertise and error in diagnostic reasoning. Cognitive Science, 5: 235-283.
34. Johnson, P. and Hassebrock, F. (1982) Validating computer simulation models of expert reasoning. In R. Trappl (ed.) Cybernetics and Systems Research (Amsterdam: North Holland).
35. Jones, C. (1986) Programming Productivity (New York: McGraw Hill).
36. Jones, C. (1991) Applied Software Measurement (New York: McGraw Hill).
37. Kass, A. and Leake, D. (1988) Case-based reasoning applied to constructing explanations. In Proceedings: Case-Based Reasoning Workshop. Defense Research Projects Agency, Information Science and Technology Office, pp. 190-208.
38. Kelley, R. and Caplan, J. (1993) How Bell Labs creates star performers. Harvard Busmess Review, July-August: 128-139.
39. Kemerer, C. (1987) An empirical validation of software cost estimation models. Communications of the ACM, 30(5): 416-429.
40. Kemerer, C. (1993) Reliability of Function Points measurement: A field experiment. Communications of the ACM, 36(2): 85-97.
41. Kleinbaum, D., Kupper, L. and Muller, K. (1988) Applied Regression Analysis and Other Multivariable Methods, 2nd edn (Boston, MA: PWS-KENT).
42. Kolodner, J. (1989) Judging which is the ''best '' case for a case-based reasoner. In Proceedings of the Second Workshop on Case-based Reasoning (San Mateo, CA: Morgan Kaufmann) pp. 77-81.
43. Kolodner, J. (1991) Improving human decision making through case-based decision aiding. AI Magazine, 12(2): 52-68.
44. Kolodner, J. (1993) Case-based Reasoning (San Mateo, CA: Morgan Kaufmann).
45. Kopeikina, L., Brandau, R. and Lemmon, A. (1988) Case based reasoning for continuous control. In J. Kolodner (ed.) Proceedings: DARPA Case-based Reasoning Workshop, DARPA Information Science and Technology Office, pp. 250-259.
46. Kosslyn, S. and Koenig, O. (1992) Wet Mind: The New Cognitive Neuroscience (New York: The Free Press).
47. Kraut, R. and Streeter, L. (1995) Coordination in large scale software development, Communications of the ACM, 38(3): 69-81.
48. Laird, J., Rosenbloom, P. and Newell, A. (1986) Chunking in Soar: Anatomy of a general learning mechanism. Machine Learning, 1(1): 11-46.
49. Law, K., Forbus, K. and Gentner, D. (1994) Simulating similarity-based retrieval: A comparison of ARCS and MAC/FAC. In A. Ram and K. Eiselt (eds) Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, Atlanta GA, pp. 543-548.
50. Leake, D. (1994) Towards a computer model of memory search strategy learning. In A. Ram and K. Eiselt (eds) Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, Atlanta GA, pp. 549-554.
51. Levy, Z. (1990) The software estimation dilemma, a small step forward. Working Paper 23, Department of Information Systems, London School of Economics and Political Science, London, England.
52. Maiden, N. and Sutcliffe, A. (1992) Exploiting reusable specifications through analogy. Communications of the ACM, 35(4): 55-64.
53. Mohanty, S. (1981) Software cost estimation: Present and future. Software-Practice and Experience, 11: 103-121.
54. Mukhopadhyay, T. and Kekre, S. (1992) Software effort models for early estimation of process control applications. IEEE Transactions on Software Engineering, 18(10): 915-924.
55. Mukhopadhyay, T., Vicinanza, S. and Prietula, M. (1992) Examining the feasibility of a case-based reasoning model for software effort estimation. MIS Quarterly, 16(2): 155-171.
56. Neves, D. and Anderson, J. (1981) Knowledge compilation: Mechanisms for the automatization of cognitive skills. In J. Anderson (ed.) Cognitive Skills and Their Acquisition (Hillsdale, NJ: Erlbaum).
57. Newell, A. (1969) Heuristic programming: Ill-structured problems. In J. Aronofsky (ed.), Progress in Operations Research, Vol. 3 (New York: John Wiley) pp. 361-414.
58. Newell, A. (1990) Unified Theories of Cognition (Cambridge, MA: Harvard University Press).
59. Newell, A., Rosenbloom, P. and Laird, J. (1989) Symbolic architecture for cognition. In M. Posner (ed.) Foundations of Cognitive Science (Cambridge, MA: MIT Press) pp. 93-131.
60. O'Keefe, R., Balci, O. and Smith, E. (1987) Validating expert system performance. IEEE Expert, Winter: 81-90.
61. Perlis, A., Sayward, F. and Shaw, M. (eds) (1979) Software Metrics (Cambridge, MA: MIT Press).
62. Pressman, R. (1987) Software Engineering: A Practitioner's Approach (New York: McGraw-Hill).
63. Prietula, M., Vicinanza, S. and Mukhopadhyay, T. (1992) Extraction and representation of software effort estimation expertise in a case-based reasoner. In Proceedings of the Fifth International Symposium on Artificial Intelligence, Cancun, Mexico, December 7-11.
64. Pu, P. and Reschberger, M. (1991) Case-based assembly planning. In Proceedings: DARPA Case-Based Reasoning Workshop. Defense Research Projects Agency, Information Science and Technology Office, pp. 245-254.
65. Putnam, L. and Myers, W. (1992) Measures for Excellence: Reliable Software on Time, Within Budget (Englewood Cliffs, NJ: Yourdon Press).
66. Reiser, B. (1986) Knowledge-directed retrieval of autobiographical memories. In J. Kolodner and C. Riesbeck (eds) Experience, Memory and Reasoning (Hillsdale, NJ: Lawrence Erlbaum).
67. Riesbeck, C. and Schank, R. (1989) Inside Case-based Reasoning (Hillsdale, NJ: Lawrence Erlbaum).
68. Rissland, E. and Skalak, D. (1989) Combining case-based and rule-based reasoning: A heuristic approach. In Proceedings of the International Joint Conference on Artificial Intelligence: IJCAI-89, Vol. 1 (San Mateo, CA: Morgan Kaufmann).
69. Ross, B. (1989) Some psychological results on case-based reasoning. In Proceedings: DARPA Case-based Reasoning Workshop, DARPA Information Science and Technology Office, pp. 144-147.
70. Ryle, G. (1949) Concept of the Mind (London: Hutchinson).
71. Shanon, B. (1988) On the similarity of features. New Ideas in Psychology, 6(3): 307-321.
72. Simon, H. (1969) The Sciences of the Artificial (Cambridge, MA: MIT Press).
73. Simon, H. and Baylor, G. (1966) A chess mating combinations program. In Proceedings of the 1966 Spring Joint Computer Conference. Boston, MA. Reprinted in H. Simon (ed.) (1979) Models of Thought (New Haven, CT: Yale University Press).
74. Symons, C. (1988) Function Point analysis: Difficulties and improvements. IEEE Transactions on Software Engineering, 14(1): 2-11.
75. Thayer, R. (1979) Modeling a software engineering project management system. Unpublished PhD dissertation. University of California, Santa Barbara CA.
76. Thebaut, S. (1983) Model evaluation in software metrics research. In J. Gentle (ed.) Computer Science and Statistics: Proceedings of the 15th Symposium at the Interface (New York: North Holland).
77. Thibodeau, R. (1981) An evaluation of software cost estimating models. Rome Air Development Center Technical Report, RADC-TR-81-144, Griffiss Air Force Base, New York.
78. van Melle, W., Shortliffe, E. and Buchanan, B. (1984) MYCIN: A knowledge engineer's tool for constructing rule-based expert systems. In B. Buchanan and E. Shortliffe (eds) Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project (Reading, MA: Addision-Wesley).
79. Veloso, M. and Carbonell, J. (1991) Variable-precision case retrieval in analogical problem solving. In Proceedings: Case-Based Reasoning Workshop (San Mateo, CA: Morgan Kaufmann), pp. 93-106.
80. Vicinanza, S., Mukhopadhyay, T. and Prietula, M. (1991) Software effort estimation: An exploratory study of expert performance. Information Systems Research, 2(4): 243-262.
81. Walston, C. and Felix, C. (1977) A method of programming measurement and estimation. IBM Systems Journal, 16(1): 54-73.
82. Winkles, J. (1992) The inarticulacy of expertise: An analysis from psychology. IEEE Expert, 7(4): 3-6.
83. Zelkowitz, M., Yeh, R., Hamlet, R., Gannon, J. and Basili, V. (1984) Software engineering practices in the US and Japan. IEEE Computer, June: 57-66.