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Reengineering the Modularity of OO Systems

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Object-Oriented Technology: ECOOP’98 Workshop Reader (ECOOP 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1543))

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Abstract

The MOOD project within the Software Engineering Group at INESC aims at delivering a broad spectrum quantitative framework to support the design of object oriented systems. A central role in this effort is played by GOODLY (a Generic Object Oriented Design Language? Yes!) [Abreu97] which was first conceived for facilitating the extraction of MOOD design metrics [Abreu94]. This language allows to express the most relevant object oriented design information and is used in MOODKIT G2, a set of tools to support the quantitative assessment of object oriented design. One of them allows the extraction of categorized information about couplings between classes, the starting point for the described experiment.

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References

  1. F. Abreu, R. Carapuça, “Object-Oriented Software Engineering: Measuring and Controlling the Development Process”, Proceedings of the 4th International Conference on Software Quality, McLean, Virginia, USA, October1994.

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  2. F. B. Abreu, L. Ochoa, M. Goul≈ao, “The GOODLY Design Language for MOOD Metrics Collection”, (http://www.esw.inesc.pt/ftp/pub/esw/mood), March1997.

  3. L. Kaufman, P. J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, Wiley Series in Probability and Mathematical Statistics, 1990.

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  4. H. C. Romesburg, Cluster Analysis for Researchers, Robert E. Krieger Publishing Company, Malabar, Florida, USA, ISBN 0-89464-426-2, 1990.

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© 1998 Springer-Verlag Berlin Heidelberg

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Abreu, F.B.e., Pereira, G., Sousa, P. (1998). Reengineering the Modularity of OO Systems. In: Demeyer, S., Bosch, J. (eds) Object-Oriented Technology: ECOOP’98 Workshop Reader. ECOOP 1998. Lecture Notes in Computer Science, vol 1543. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49255-0_11

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  • DOI: https://doi.org/10.1007/3-540-49255-0_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65460-5

  • Online ISBN: 978-3-540-49255-9

  • eBook Packages: Springer Book Archive

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