Contents -- Preface -- Chapter 1 Fuzzy Cause - Effect Models of Software Testing -- 1. Introduction -- 2. Architectural considerations -- 3. The fuzzy cause - effect networks: mapping software specifications -- 4. The construction of the network: a direct problem -- 5. An inverse problem: forming a mechanism of generating testing oracles -- 6. Conclusions -- Chapter 2 Black-Box Testing with Info-Fuzzy Networks -- 1. Introduction -- 2. Info-Fuzzy Networks -- 3. Black-Box Testing with Single-Target and Multi-Target Info- Fuzzy Networks -- 4. Case Study: A Finite Element Program for Solving Differential Equations -- 5. Empirical Results -- 6. Conclusions -- Chapter 3 Automated GUI Regression Testing Using AI Planning -- 1. Introduction -- 2. Affected and Unaffected Test Cases -- 3. Overview -- 4. Representation -- 5. Design of the Regression Tester -- 6. Experiments -- 7. Conclusions -- Chapter 4 Test Set Generation And Reduction With Artificial Neural Networks -- 1. Introduction -- 2. Software Testing Methods -- 3. Neural Networks and Software Testing -- 4. The NN-based methodology for test case generation and reduction -- 5. A Case Study -- 6. Conclusions -- Chapter 5 Three-Group Software Quality Classification Modeling Using An Automated Reasoning Approach -- 1. Introduction -- 2. Case-Based Reasoning -- 3. Discriminant Analysis -- 4. Modeling Approach -- 5. Case Study: A Data Communications System -- 6. Summary -- Chapter 6 Data Mining with Resampling in Software Metrics Databases -- 1. Introduction -- 2. Software Metrics and Software Quality -- 3. Previous Experimental Results -- 4. Experimental Results -- 5. Proposed Usage -- 6. Conclusions.