Automatically exploring hypotheses about fault prediction: A comparative study of inductive logic programming methods

International Journal of Software Engineering and Knowledge Engineering

Volumn 9, Issue 5, 1999, Pages 519-546

  Cohen, William W ^a   Devanbu, Premkumar T ^b  

^a AT AND T LABS RESEARCH   (United States)

^b University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0012130766     PISSN: 02181940     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218194099000292     Document Type: Review

References (39)

1. Hilda Adé, Luc de Raedt, and Maurice Bruynooghe, "Declarative bias for general-to-specific ILP systems", Machine Learning 20 (1995) 119-154.
2. V. Basili, L. Briand, and W. Melo, "A validation of object-oriented design metrics as quality indicators", IEEE Trans, on Software Engineering, 1996, to appear. Also available as TR, UMD-CSD, number CS-TR-3443.
3. L. Briand, S. Morasca, and V. Basili, "Measuring and assessing maintainability at the end of high level design", in Proc. Conf. on Software Maintenance, Montreal, Canada, 1993, IEEE.
4. L. Briand, P. Devanbu, and W. Melo, "Defining and validating coupling measures in object-oriented systems", in Proc. Int. Conf. on Software Engineering, Boston, MA, 1997, to appear.
5. S. R. Chidamber and C. F. Kemerer, "A metrics suite for object-oriented design", IEEE Trans. on Software Engineering 20 (1994) 476-493.
6. W. F. Clocksin and C. S. Mellish, Programming in Prolog (Springer-Verlag, 1991).
7. William W. Cohen and Haym Hirsh, "The learnability of description logics with equality constraints", Machine Learning 17 (1994).
8. William W. Cohen and Haym Hirsh, "Learning the CLASSIC description logic: Theoretical and experimental results", in Principles of Knowledge Representation and Reasoning: Proc. Fourth International Conference (KR94) (Morgan Kaufmann, 1994).
9. William W. Cohen, "Grammatically biased learning: learning logic programs using an explicit antecedent description language", Artificial Intelligence 68 (1994) 303-366.
10. William W. Cohen, "Pac-learning nondeterminate clauses", in Proc. Eleventh National Conf. on Artificial Intelligence, Seattle, WA, 1994.
11. William W. Cohen, "Fast effective rule induction", in Machine Learning: Proc. Twelfth International Conference (Morgan Kaufmann, 1995).
12. William W. Cohen, "Learning to classify English text with ILP methods", in Advances in ILP, ed. Luc De Raedt (IOS Press, 1995).
13. William W. Cohen, "Pac-learning recursive logic programs: Efficient algorithms", Journal of AI Research 2 (1995) 501-539.
14. William W. Cohen, "Learning with set-valued features", in Proc. Thirteenth National Conf. on Artificial Intelligence, Portland, Oregon, 1996.
15. ∼devanbu/genp, 1998.
16. Thomas G. Dietterich, "Approximate statistical tests for comparing supervised classification learning algorithms", Neural Computation 10 (1998) 7.
17. Sašo Džeroski, Stephen Muggleton, and Stuart Russell, "Paclearnability of determinate logic programs", in Proc. 1992 Workshop on Computational Learning Theory, Pittsburgh, Pennsylvania, 1992.
18. N. Fenton, Software Metrics (Chapman and Hall, 1992).
19. M. Frazier and L. Pitt, "Classic learning", in Proc. Seventh Annual ACM Conf. on Computational Learning Theory (ACM Press, 1994).
20. Johannes Fürnkranz and Gerhard Widmer, "Incremental reduced error pruning", in Machine Learning: Proc. Eleventh Annual Conference (ACM Press, 1994).
21. Jörg-Uwe Kietz and Katharina Morik, "Constructive induction of background knowledge", in Proc. Workshop on Evaluating and Changing Representation in Machine Learning (at the 12th Int. Joint Conf. on Artificial Intelligence) (Morgan Kaufmann, 1991).
22. Jörg-Uwe Kietz and Stephan Wrobel, "Controlling the complexity of learning in logic through syntactic and task-oriented models", in Inductive Logic Programming (Academic Press, 1992).
23. Nada Lavrač and Sašo Džeroski, "Background knowledge and declarative bias in inductive concept learning", in Analogical and Inductive Inference: Int. Workshop AII'92, Lectures in Artificial Intelligence Series #642, ed. K. P. Jantke (Springer Verlag, 1992).
24. Nada Lavrač and Sašo Džeroski, Inductive Logic Programming: Techniques and Applications (Ellis Horwood, Chichester, 1994).
25. R. M. MacGregor, "The evolving technology of classification-based knowledge representation systems", ed. John Sowa, Principles of Semantic Networks: Explorations in the Representation of Knowledge (Morgan Kaufmann, 1991).
26. R. S. Michalski, I. Mozetic, J. Hong, and N. Lavrac, "The multipurpose incremental learning system AQ15 and its application to three medical domains", in Proc. Fifth National Conf. on Artificial Intelligence (Morgan Kaufmann, 1986).
27. Sandro Morasca and Günther Ruhe, "Knowledge discovery from software engineering measurement data: A comparative study of analysis techniques", in Proc. SEKE 97, 1997.
28. Stephen Muggleton and Cao Feng, "Efficient induction of logic programs", in Inductive Logic Programming (Academic Press, 1992).
29. Giulia Pagallo and David Haussler, "Boolean feature discovery in empirical learning", Machine Learning 5 (1990) 1.
30. Michael Pazzani and Dennis Kibler, "The utility of knowledge in inductive learning", Machine Learning 9 (1992) 1.
31. J. Ross Quinlan and R. M. Cameron-Jones, "FOIL: A midterm report", in Machine Learning: ECML-93, Lecture Notes in Computer Science #667, ed. Pavel B. Brazdil (Springer-Verlag, 1993).
32. J. Ross Quinlan, "Learning logical definitions from relations", Machine Learning 5 (1990) 3.
33. J. Ross Quinlan, C4-5: Programs for Machine Learning (Morgan Kaufmann, 1994).
34. J. Ross Quinlan, "MDL and categorical theories (continued)", in Machine Learning: Proc. Twelfth International Conference (Morgan Kaufmann, 1995).
35. Ehud Shapiro, Algorithmic Program Debugging (MIT Press, 1982).
36. A. Srinivasan, S. H. Muggleton, R. D. King, and M. J. E. Sternberg, "Theories for mutagenicity: a study of first-order and feature based induction", Artificial Intelligence Journal 85 (1996) 277-299.
37. Bjarne Stroustrup, The C++ Programming Language (Addison-Wesley, 1997).
38. Sholom Weiss and Casmir Kulkowski, Computer Systems that Learn (Morgan Kaufmann, 1990).
39. W. A. Woods and J. G. Schmolze, "The KL-ONE family", Computers and Mathematics with Applications 23 (1992) 2-5.