Predicting software development project outcomes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2689, Issue , 2003, Pages 595-609

  Weber, Rosina ^a   Waller, Michael ^a   Verner, June ^a   Evanco, William ^a  

^a Drexel University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASED REASONING; FORECASTING; MANAGERS; PROJECT MANAGEMENT; REGRESSION ANALYSIS; SURVEYS; ARTIFICIAL INTELLIGENCE; COMPUTER AIDED DESIGN; COMPUTER SCIENCE; DATABASE SYSTEMS; FORMAL LOGIC;

CRITICAL SUCCESS FACTOR; DESIGN DECISIONS; LOGISTIC REGRESSION ANALYSIS; MANAGERIAL FACTORS; REASONER; SOFTWARE DEVELOPER; SOFTWARE DEVELOPMENT PROJECTS; CASE-BASED REASONING (CBR); CBR IMPLEMENTATIONS; DATASETS;

SOFTWARE DESIGN; COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 7044233047     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45006-8_45     Document Type: Conference Paper

References (20)

1. Watson, I.: CBR is a methodology not a technology. Knowledge Based Systems, 12 (5–6) (1999) 303–308
2. Finnie, G.R., Wittig, G.E., Desharnais, J.M.: A Comparison of Software Effort Estimation Techniques: Using Function Points with Neural Networks, Case-Based Reasoning and Regression Models. Journal of Systems Software 39 (1997) 281–289
3. Aha, D. W.: Feature weighting for lazy learning algorithms. In H. Liu & H. Motoda (eds.): Feature Extraction, Construction and Selection: A Data Mining Perspective. Norwell, MA, Kluwer (1998) 13–32
4. Aha, D.W., Becerra-Fernandez, I., Maurer, F., & Muñoz-Avila, H.: (eds.) Exploring Synergies of Knowledge Management and Case-Based Reasoning: Papers from the AAAI Workshop (Technical Report WS-99-10). Menlo Park, CA, AAAI Press (1999)
5. Watson, I.: Knowledge Management and Case-Based Reasoning: a perfect match? In Proc. of the Fourteenth Annual Conference of the International Florida Artificial Intelligence Research Society Menlo Park, CA, AAAI Press (2001) 118–122
6. Weber, R., Aha, D.W., Becerra-Fernandez, I.: Intelligent lessons learned systems. International Journal of Expert Systems Research & Applications 20 1 (2001) 17–34
7. Althoff, K.D., Nick, M., Tautz, C.: CBR-PEB: An Application Implementing Reuse Concepts of the Experience Factory for the Transfer of CBR System Know-How. In Proc. of 7th German Workshop on Case-Based Reasoning, Würzburg (1999) 39–48
8. Kadoda, G, Cartwright, M., Shepperd, M.: Issues on the Effective use of CBR Technology for Software Project Prediction. In Aha, D., Watson, I., (eds.): Case-Based Reasoning Research and Development, LNAI, 2080, Springer (2001) 276–290
9. Watson, I., Mendes, E., Mosley, N., Counsell, S.: Using CBR to Estimate Development Effort for Web Hypermedia Applications. In Proc. of the Fifteenth Annual Conference of the International Florida Artificial Intelligence Research Society. Menlo Park, CA, AAAI Press (2002) 132–136
10. Basili, V.R., Caldiera, G., Rombach, H.D.: Experience Factory. In J. J. Marciniak, (ed), Encyclopedia of Software Engineering 1 (1994) 469–476
11. Jedlitschka, A., Althoff, K.-D., Decker, B., Hartkopf, S., Nick, M.: Corporate Information Network (COIN): The Fraunhofer IESE Experience Factory, IESE-Report No. 034.01/E. Version 1.0, May (2001)
12. Cain, T., Pazzani, M. J., Silverstein, G. Using domain knowledge to influence similarity judgment. In Proc. of the Case-Based Reasoning Workshop. Washington, DC, Morgan Kaufmann (1991) 191–202
13. Mitchell, T., Keller, R., Kedar-Cabelli, S.: Explanation-based generalization: A Unifying View. Machine learning 2 (1986) 47–80
14. Cleary, P.D., Angel, R.: The Analysis of Relationships Involving Dichotomous Dependent Variables, Journal of Health and Social Behavior 25 (1984) 334–348
15. Verner, J. M, Overmyer, S. P. and McCain, K. W.: In the 25 Years Since the Mythical Man-Month What Have we Learned About Project Management? Information and Software Technology 41 (1999) 1021–1026
16. Procaccino, J.D., Verner, J.M., Overmyer, S. P., Darter, M.: Case Study: Factors for Early Prediction of Software Development Success, Information and Software Technology 44 (2001) 53–62
17. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. Artificial Intelligence Communications 7(1) (1994) 39–59.
18. Reel, J.S.: Critical Success Factors in Software Projects, IEEE Software 16(3) (1999) 18–23
19. Wettschereck, D., Aha, D.W.: Weighting features. Veloso, M., Aamodt, A. (eds). Case- Based Reasoning Research and Development, LNAI 1010, Springer-Verlag (1995) 347–358
20. Whitehead, J.: Willingness to Pay for Bass Fishing Trips in the Carolinas. In An Introduction to Logistic Regression, Writing up results. (1998) Available online (last visited 03/31/2003): http://personal.ecu.edu/whiteheadj/data/logit/