Search-Based Software Testing: Past, Present and Future

by Phil McMinn

International Workshop on Search-Based Software Testing (SBST 2011)



Search-Based Software Testing is the use of a meta-heuristic optimizing search technique, such as a Genetic Algorithm, to automate or partially automate a testing task; for example the automatic generation of test data. Key to the optimization process is a problem-specific fitness function. The role of the fitness function is to guide the search to good solutions from a potentially infinite search space, within a practical time limit. Work on Search-Based Software Testing dates back to 1976, with interest in the area beginning to gather pace in the 1990s. More recently there has been an explosion of the amount of ... [more]


Reference

Phil McMinn. Search-Based Software Testing: Past, Present and Future. International Workshop on Search-Based Software Testing (SBST 2011), pp. 153–163, 2011


Bibtex Entry
@inproceedings{McMinn2011,
  author    = "McMinn, Phil",
  title     = "Search-Based Software Testing: Past, Present and Future",
  booktitle = "International Workshop on Search-Based Software Testing (SBST 2011)",
  pages     = "153--163",
  year      = "2011",
  publisher = "IEEE"
}