By Fernando Brito E. Abreu
A complete description is supplied of 4 components of quantitative ways in object-oriented software program engineering: metrics assortment, caliber evaluate, metrics validation, and procedure administration.
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Extra resources for Quantitative Approaches in Object-Oriented Software Engineering (Innovative Technology Series: Information Systems and Networks)
JAZAYERI, D. MANDRIOLI, Fundamentals of Software Engineering. Englewood Cliffs, NJ, USA, Prentice Hall, 1991. [GOS 96] J. GOSLING, F. YELLIN, The Java Application Programming Interface, Vol. #1 (Core Packages)/#2 (Window Toolkit and Applets), Reading, Massachussets, USA, Addison-Wesley, 1996. [HIT 96] M. HITZ, B. MONTAZERI, "Measuring Coupling in Object-Oriented Systems", Object Currents, April, 1996. 46 Quantitative approaches in object-oriented software engineering [HUT 85] D. H. HuTCHENS,V. R.
ABREU, G. PEREIRA, P. SOUSA, "A Coupling-Guided Cluster Analysis Approach to Reengineer the Modularity of Object-Oriented Systems", presented at the 4th European Conference on Software Maintenance and Reengineering (CSMR'2000), Zurich, Switzerland, 2000. [BOO 94] G. BOOCH, Object Oriented Analysis and Design with Applications, 2nd ed. Redwood City, LA, USA, The Benjamin Cummings Publishing Company Inc, 1994. [BOO 97] G. BOOCH, I. JACOBSON, J. 0, January 1997. [BRI 99] L. BRIAND, J. W. DALY, J. K.
The alternative hypothesis (H1 is that there are significant differences for at least one of the methods. 40 Quantitative approaches in object-oriented software engineering We use a one way analysis of variance (ANOVA) of the best MMFs obtained with each clustering method, to test the null hypothesis. Table 4 presents the results of this test. Table 4. ANOVA test for clustering methods dof Between Groups Within Groups Total 6 876 882 F Sig. 642 Table 4 gives us diagnostics concerning between-groups variance and within groups variance.