1. Aniche, M.F., Oliva, G.A., Gerosa, M.A.: What do the asserts in a unit test tell us about code quality? A study on open source and industrial projects. In: Cleve, A., Ricca, F., Cerioli, M. (eds.) 17th European Conference on Software Maintenance and Reengineering, CSMR 2013, Genova, Italy, 5–8 March 2013, pp. 111–120. IEEE Computer Society (2013).
https://doi.org/10.1109/CSMR.2013.21
2. Baggen, R., Correia, J.P., Schill, K., Visser, J.: Standardized code quality benchmarking for improving software maintainability. Softw. Qual. J. 20(2), 287–307 (2012).
https://doi.org/10.1007/s11219-011-9144-9
3. Bakota, T., Hegedüs, P., Kortvelyesi, P., Ferenc, R., Gyimóthy, T.: A probabilistic software quality model. In: IEEE 27th International Conference on Software Maintenance, ICSM 2011, Williamsburg, VA, USA, 25–30 September 2011, pp. 243–252. IEEE Computer Society (2011).
https://doi.org/10.1109/ICSM.2011.6080791
4. Boehm, B.W., Brown, J.R., Lipow, M.: Quantitative evaluation of software quality. In: Yeh, R.T., Ramamoorthy, C.V. (eds.) Proceedings of the 2nd International Conference on Software Engineering, San Francisco, California, USA, 13–15 October 1976, pp. 592–605. IEEE Computer Society (1976).
http://dl.acm.org/citation.cfm?id=807736
5. Gilpin, L.H., Bau, D., Yuan, B.Z., Bajwa, A., Specter, M., Kagal, L.: Explaining explanations: an overview of interpretability of machine learning.
http://arxiv.org/abs/1806.00069v3