Modelling software quality with GP
Software development managers use software quality prediction methods to determine to which modules expensive reliability techniques should be applied. This paper describes a genetic programming (GP) based system that classifies software modules as "faulty" or "not faulty", allowing the targetting of modules for reliability enhancement. The system is validated via a case study using software quality data from a very large industrial project. The demonstrated quality of the system is such that the system is being integrated into a commercial software quality management system.
Link to Published Version
Evett, M., Khoshgoftaar, T., Chien, P., & Allen, E. (1999). Modelling software quality with GP. In Proceedings of the 1st Annual Conference on Genetic and Evolutionary Computation - Volume 2 (pp. 1232–1232). San Francisco, CA: Morgan Kaufmann Publishers Inc. Retrieved from http://dl.acm.org/citation.cfm?id=2934046.2934093