Ch. 1. Fuzzy cause-effect models of software testing / Witold Pedrycz and George Vukovich -- ch. 2. Black-box testing with info-fuzzy networks / Mark Last and Menahem Friedman -- ch. 3. Automated GUI regression testing using AI planning / Atif M. Memon -- ch. 4. Test set generation and reduction with artificial neural networks / Prachi Saraph, Abraham Kandel, and Mark Last -- ch. 5. Three-group software quality classification modeling using an automated reasoning approach / Taghi M. Khoshgoftaar and Naeem Seliya -- ch. 6. Data mining with resampling in software metrics databases / Scott Dick and Abraham Kandel
Summary
An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area. Contents: Fuzzy Cause-Effect Models of Software Testing (W Pedrycz & G Vukovich); Black-Box Testing with Info-Fuzzy Netw
