Abstract
Understanding and Measuring of the large-scale Object-oriented software system has been an urgent demand in software development practices. The traditional method can hardly describe the structural latent characteristic in modern software. As the complex networks theory has been used to study the software structure, we analyzed many software systems. The analyzing results reveal the parameters in complex networks can be used to represent property of software topology structure. And this paper introduces some efficient measuring methods based on basic parameters in complex networks. A practice example was described to demonstrate the effectiveness of the method.
This work is supported by CNSF Grant #60973022 to Z. Hai.
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References
McCabe, T.: A software complexity measure. IEEE Trans. on Software Engineering 2(4), 308–320 (1976)
Chidamber, S.R., Kemerer, C.F.: A metrics suite for object oriented design. IEEE Transactions on Software Engineering 20(6), 476–493 (1994)
Brooks, F.P.: Three great challenges for half-century-old computer science. Journal of the ACM 50(1), 25–26 (2003)
Myers, C.R.: Software systems as complex networks: Structure, function, and evolvability of software collaboration graphs. J. Phys. Rev. E 68, 46116 (2003)
Ma, Y., He, K., Du, D.: A Qualitative Method for Measuring the Structural Complexity of Software Systems Based on Complex Networks. J. APSEC, 257–263 (2005)
Ma, Y., He, K., Du, D., Jing, L., Yan, Y.: A complexity metrics set for large-scale object-oriented software systems. In: Sixth IEEE International Conference on Computer and Information Technology (CIT 2006), pp. 189–192 (2006)
Han, M., Li, D., Liu, C., Li, H.: Networked Characteristics in Software and its Contribution to Software Quality. Computer Engineering and Applications 20, 29–31 (2006)
Yan, D., Qi, G.-N., Gu, X.-J.: The complexity nature of large-scale software systems. IOP EJ Chinese Physics 11(15), 2489–2495 (2006)
Ravasz, E., Somera, A.L., Mongru, D.A., Oltvai, Z.N., Barabasi, A.-L.: Hierarchical Organization of Modularity in Metabolic Networks. J. Science 297(30) (2002)
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Haohua, Z., Hai, Z., Yuren, Z., Lijuan, W. (2011). Analysis of Topology Structure of Object-Oriented Software System Based on Complex Networks. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_66
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DOI: https://doi.org/10.1007/978-3-642-23226-8_66
Publisher Name: Springer, Berlin, Heidelberg
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