In this study, we investigate software structure evolution and growth. We represent software structure by means of a generic macro-topology called Little House, which models the dependencies among classes of object-oriented software systems. We, then, define a stochastic model to predict the way software architectures evolve. The model estimates how the classes of object-oriented programs get connected one to another along the evolution of the systems. To define the model, we analyzed data from 81 versions of six Java based projects. We analyzed each pair of sequential versions, for each project, in order to depict a pattern of software structure evolution based on Little House. To evaluate the model, we performed two experiments: one with the data used to derive the model, and another with data of 35 releases, in total, of four open-source Java project. In both experiments, we found a very low rate of error for the application of the proposed model. The evaluation of the model suggests it is able to predict how a software structure will evolve.
|Title of host publication||WETSoM '17: Proceedings of the 8th Workshop on Emerging Trends in Software Metrics|
|Place of Publication||Piscataway, NJ (US)|
|Number of pages||7|
|Publication status||Published - 20 May 2017|
|Event||8th Workshop on Emerging Trends in Software Metrics: ICSE International Conference on Software Engineering - Argentina, Buenos Aires, Argentina|
Duration: 20 May 2017 → 28 May 2017
|Workshop||8th Workshop on Emerging Trends in Software Metrics|
|Abbreviated title||WETSoM 2017|
|Period||20/05/17 → 28/05/17|
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Prates Ferreira Trindade, R., Santana Orfanó, T., Marques Ferreira, K. A., & Fialho Wanner, E. (2017). The dance of classes: a stochastic model for software structure evolution. In WETSoM '17: Proceedings of the 8th Workshop on Emerging Trends in Software Metrics (pp. 22-28). IEEE. https://doi.org/10.1109/WETSoM.2017..5