Building measure-based prediction models for UML class diagram maintainability

Empirical Software Engineering

Volumn 12, Issue 5, 2007, Pages 517-549

  Genero, Marcela ^a   Manso, Esperanza ^b   Visaggio, Aaron ^c   Canfora, Gerardo ^c   Piattini, Mario ^a  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

^c UNIVERSITY OF SANNIO   (Italy)

Author keywords

Class diagrams; Controlled experiments; Empirical validation; Maintainability; Measures; Modifiability; Prediction model; Size; Structural complexity; UML; Understandability

Indexed keywords

COMPUTATIONAL COMPLEXITY; MAINTAINABILITY; OBJECT ORIENTED PROGRAMMING;

CONTROLLED EXPERIMENTS; EMPIRICAL VALIDATION; MODIFIABILITY; PREDICTION MODELS; UNDERSTANDABILITY;

COMPUTER SOFTWARE;

EID: 34748832893     PISSN: 13823256     EISSN: 15737616     Source Type: Journal    
DOI: 10.1007/s10664-007-9038-4     Document Type: Article

References (67)

1. Atkinson C, Kühne T (2003) Model-driven development: a metamodeling foundation. IEEE Softw 20(5):36-41
2. Bansiya J, Davis C (2002) A hierarchical model for object-oriented design quality assessment. IEEE Trans Softw Eng 28(1):4-17
3. Basili V, Rombach H (1988) The TAME project: towards improvement-oriented software environments. IEEE Trans Softw Eng 14(6):728-738
4. Basili V, Weiss D (1984) A methodology for collecting valid software engineering data. IEEE Trans Softw Eng 10:728-738
5. Basili V, Shull F, Lanubile F (1999) Building knowledge through families of experiments. IEEE Trans Softw Eng 25(4):435-437
6. Briand L, Wüst J (2001) Modeling development effort in object-oriented systems using design properties. IEEE Trans Software Eng 27(11):963-986
7. Briand L, Wüst J (2002) Empirical studies of quality models in object-oriented systems. In: Zelkowitz (ed) Advances in computers, vol 59. Academic, pp 97-166
8. Briand L, Devanbu W, Melo W (1997) An investigation into coupling measures for C++. In: 19th International Conference on Software Engineering (ICSE 97), Boston, USA, pp 412-421
9. Briand L, Wüst J, Lounis H (1998) Investigating quality factors in object-oriented designs: an industrial case study. Technical report ISERN 98-29 (version 2)
10. Briand L, Wüst J, Lounis H (1999) A comprehensive investigation of quality factors in object-oriented designs: an industrial case study. In: 21st International Conference on Software Engineering, Los Angeles, pp 345-354
11. Briand L, Arisholm S, Counsell F, Houdek F, Thévenod-Fosse P (2000) Empirical studies of object-oriented artefacts, methods and processes: state of the art and future directions. Emp Softw Eng 4(4):387-404
12. Briand L, Bunse C, Daly J (2001) A controlled experiment for evaluating quality guidelines on the maintainability of object-oriented designs. IEEE Trans Softw Eng 27(6):513-530
13. Brito e Abreu F, Carapuça R (1994) Object-oriented software engineering: measuring and controlling the development process. In: Proceedings of 4th International Conference on Software Quality, Mc Lean, VA, USA, 3-5 October
14. Brooks A, Daly J, Miller J, Roper M, Wood M (1996) Replication of experimental results in software engineering. Technical report ISERN-96-10. International Software Engineering Research Network
15. Calero C, Piattini M, Genero M (2001) Method for obtaining correct metrics. In: International Conference on Enterprise and Information Systems (ICEIS'2001), pp 779-784
16. Cantone G, Donzelli P (2000) Production and maintenance of software measurement models. J Softw Eng, Knowl Eng 5:605-626
17. Card C, El-Emam K, Scalzo B (2001) Measurement of object-oriented software development projects. In: Software Productivity Consortium NFP
18. Chapin N, Hale J, Khan K, Ramil J, Tan W (2001) Types of software evolution and software maintenance. J Softw Maint Evol: Res Prac 13:3-30
19. Chidamber S, Kemerer C (1994) A metrics suite for object oriented design. IEEE Trans Softw Eng 20(6):476-493
20. Cook T, Campbell D (1979) Quasi-experimentation: design and analysis issues for field settings. Boston, Houghton Mifflin
21. Davis C (2002) Statistical methods for the analysis of repeated measurements, Springer
22. Erickson J, Siau K (2004) Theoretical and practical complexity of UML. In: 10th Americas Conference on Information Systems, New York, USA, pp 1669-1674
23. Hardin JW, Hilbe JM (2002) Generalized estimating equations. Chapman & Hall, London
24. El-Emam K (1999) The prediction of faulty classes using object-oriented design metrics, NRC/ERB1064. National Research Council Canada
25. El-Emam K (2001) Object-oriented metrics: a review on theory and practice, NRC/ERB 1085. National Research Council Canada
26. Fenton N, Pfleeger S (1997) Software metrics: a rigorous approach, 2nd edn. Chapman & Hall, London
27. Fioravanti F, Nesi P (2001) Estimation and prediction metrics for adaptive maintenance effort of object-oriented systems. IEEE Trans Software Eng 27(12):1062-1083
28. García F, Ruiz F, Cruz JA, Piattini M (2003) Integrated measurement for the evaluation and improvement of software processes. In: 9th European Workshop on Software Process Technology (EWSPT'9), Helsinki, Finland. Lecture notes in computer science, vol 2786. pp 129-145
29. Genero M (2002) Defining and validating metrics for conceptual models, Ph.D. thesis, University of Castilla-La Mancha, Spain
30. Genero M, Jiménez L, Piattini M (2002) A controlled experiment for validating class diagram structural complexity metrics. In: Bellahsene Z, Patel D, Rolland C (eds) The 8th International Conference on Object-oriented Information Systems (OOIS'2002), Lecture notes in computer science, vol 2425. Springer, Berlin Heidelberg New York, pp 372-383
31. Genero M, Piattini M, Calero C (2000) Early measures for UML class diagrams. L'Objet. 6(4), Hermes Science Publications, pp 489-515
32. Genero M, Olivas J, Piattini M, Romero F (2001) Using metrics to predict OO information systems maintainability. In: CAISE 2001, Lecture notes in computer science, vol 2068. Interlaken, Switzerland, pp 388-401
33. aE, Piattini M, Cantone G (2003a) Building UML class diagram maintainability prediction models based on early metrics. In: 9th International Symposium on Software Metrics (METRICS 2003), IEEE Computer Society, pp 263-275
34. Genero M, Olivas J, Piattini M, Romero F (2003b) Assessing object oriented conceptual models maintainability. In: Poels G et al (eds) International Workshop on Conceptual Modeling Quality (IWCMQ'02), Tampere, Finland. Lecture notes in computer science, vol 2784. Springer, Berlin Heidelberg New York, pp 288-299
35. Genero, M., Piattini M., and Calero, C. 2005. Metrics for high-level design UML class diagrams: an exploratory analysis. Journal of Object Technology, 4(9). Available at http://www.jot.fm
36. Harrison R, Counsell S, Nithi R (1998) An investigation into the applicability and validity of object-oriented design metrics. Emp Softw Eng 3:255-273
37. Harrison R, Counsell S, Nithi R (2000) Experimental assessment of the effect of inheritance on the maintainability of object-oriented systems. J Syst Softw 52:173-179
38. Henderson-Sellers B (1996) Object-oriented metrics-measures of complexity. Prentice-Hall, Upper Saddle River, NJ, pp 489-515
39. ISO/IEC 9126-1.2 (2001) Information technology-software product quality-part 1: quality model
40. Johnson DE (1998) Applied multivariate methods for data analyst. Duxbury Press, Brooks/Cole Publishing Company
41. a (2001) Basics of software engineering experimentation. Kluwer
42. Kiewkanya M, Muenchaisiri P (2004) Predicting modifiability of UML class and sequence diagrams. In: The Second Workshop on Software Quality (26th International Conference on Software Engineering (ICSE 2004)), pp 53-57
43. Kiewkanya M, Jindasawat N, Muenchaisiri P (2004) A methodology for constructing maintainability model of object-oriented design. In: Fourth International Conference on Quality Software (QSIC' 04), pp 206-213
44. Kim H, Boldyreff C (2002) Developing software metrics applicable to UML Models. In: Proceedings of the 6th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering, (QAOOSE 2002)
45. Kitchenham B, Pfleeger S, Fenton N (1995) Towards a framework for software measurement validation. IEEE Trans Softw Eng 21(12):929-943
46. Kitchenham B, Pfleeger S, Pickard L, Jones P, Hoaglin D, El Emam K, Rosenberg J (2002) Preliminary guidelines for empirical research in software engineering. IEEE Trans Softw Eng 28(8):721-734
47. Kleinbaum D, Kupper L, Muller K (1987) Applied regression analysis and other multivariate methods, 2nd edn. Duxbury
48. Li W, Henry S (1993) Object-oriented metrics that predict maintainability. J Syst Softw 23(2)
49. Lorenz M, Kidd J (1994) Object-oriented software metrics: a practical guide. Englewood
50. aE, Genero M, Piattini M (2003) No-redundant metrics for UML class diagrams structural complexity. In: Eder JY, Missikoff M (eds) CAISE 2003, Lecture notes in computer science, vol 2681. Springer, Berlin Heidelberg New York, pp 127-142
51. Marchesi M (1998) OOA Metrics for the unified modeling language. In Proceedings of the 2nd Euromicro Conference on Software Maintenance and Reengineering, Florence, Italy, pp 67-73
52. Mendes E, Watson I, Mosley N, Counsell S (2002) A comparison of development effort estimation techniques for web hypermedia applications. In: 8th IEEE Symposium on Software Metrics (METRICS'02), pp 21-30
53. Miller J (2000) Applying meta-analytical procedures to software engineering experiments. J Syst Softw 54:29-39
54. OMG (2001) Unified Modeling Language (UML) Specification, Version 1.4. Object Management Group (OMG)
55. OMG (2005) Object Management Group. UML 2.0, OMG Document. Available at http://www.omg.org
56. Poels G, Dedene G (2000) Distance-based software measurement: necessary and sufficient properties for software measures. Inf Softw Technol 42(1):5-46
57. SAS Institute (1999) SAS/STAT Users Guide, Version 8. SAS Institute, Cary, NC
58. Schneidewind N (1992) Methodology for validating software metrics. IEEE Trans Softw Eng 18(5):410-422
59. Schneidewind N (2002) Body of knowledge for software quality measurement. IEEE Computer 35(2):77-83
60. Selic B (2003) The pragmatics of model-driven development. IEEE Software 20(5):19-25
61. Shapiro SS, Wilk MB (1965) An analysis of variance test for normality. Biometrika 52:591-611
62. Si-Said C, Akoka J, Comyn-Wattiau I (2002) Conceptual modelling quality-from EER to UML Schemas Evaluation. In: Spaccapietra S, March, S, Kambayashi Y (eds) 21st International Conference on Conceptual Modeling (ER 2002), Tampere, Finland. LNCS, vol 2503.d pp 499-512
63. Snedecor GW, Cochran WG (1989) Statistical methods, 8th edn. Iowa State University Press
64. SPSS (2002) SPSS 11.5. Syntax Reference Guide. Chicago. SPSS Inc
65. Van Solingen R, Berghout E (1999) The goal/question/metric method: a practical guide for quality improvement of software development. McGraw-Hill, New York
66. Vokác M, Tichy W, Sjoberg DI, Arisholm E, Aldrin M (2004) A controlled experiment comparing the maintainability of programs designed with and without design patterns-a replication in a real programming environment. Emp Softw Eng 9:149-195
67. Wohlin C, Runeson P, Höst M, Ohlson M, Regnell B, Wesslén A (2000) Experimentation in software engineering: an introduction. Kluwer