- author = "Matthew Evett and Taghi Khoshgoftaar and Pei-der Chien and Ed Allen",
- title = "Using genetic programming to determine software quality",
- booktitle = "Proceedings of the Twelfth International FLAIRS Conference",
- year = "1999",
- pages = "113--117",
- publisher = "AAAI",
- keywords = "genetic algorithms, genetic programming, SBSE",
-
URL = "
http://www.aaai.org/Papers/FLAIRS/1999/FLAIRS99-020.pdf",
- abstract = "Software development managers use software quality prediction methods to determine to which modules expensive reliability techniques should be applied. In this paper we describe a genetic programming (GP) based system that classifies software modules as {"}faulty{"} or {"}Not faulty{"}, allowing the targeting of modules for reliability enhancement. The paper describes the GP system, and provides a case study using software quality data from a very large industrial project. The demonstrated quality of the system is such that plans are under way to integrate it into a commercial software quality management system.",
-
notes = "lil-gp
p117 {"}Indeed, our current work involves the integration of this GP system into the existing EMERALD industrial software management system.{"}
Department of Computer Science and Engineering Florida Atlantic University Boca Raton, Florida 33431, USA
Evolved non-linear model could use EMERALD metrics: FILINCUQT, LGPATHT, VARSPNMX, USAGEA, BETA_PR, BETA_FIX, CUST_FIX, SRC_GRON, UNQ_DENS, UPD_CATR, VLO_UPD",
