On the Effectiveness of Whole Test Suite Generation.- Detecting Program Execution Phases Using Heuristic Search.- On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring.- Producing Just Enough Documentation: The Next SAD Version Problem.- A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications.- A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design.- Mutation-Based Generation of ...
Read More
On the Effectiveness of Whole Test Suite Generation.- Detecting Program Execution Phases Using Heuristic Search.- On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring.- Producing Just Enough Documentation: The Next SAD Version Problem.- A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications.- A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design.- Mutation-Based Generation of Software Product Line Test Configurations.- Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software.- Bi-objective Genetic Search for Release Planning in Support of Themes.- Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level.- Feature Model Synthesis with Genetic Programming.- A Robust Multi-objective Approach for Software Refactoring under Uncertainty.- Towards Automated A/B Testing.- Random-WeightedSearch-Based Multi-objective Optimization Revisited.- A New Learning Mechanism for Resolving Inconsistencies in Using Cooperative Co-evolution Model.- Improving Heuristics for the Next Release Problem through Landscape Visualization.- Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem.- Transaction Profile Estimation of Queueing Network Models for IT Systems Using a Search-Based Technique.- Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases.- Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System.- Pidgin Crasher: Searching for Minimised Crashing GUI Event Sequences.- Repairing and Optimizing Hadoop hashCode Implementations.
Read Less
Add this copy of The Story of O to cart. $106.16, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 1965 by Groves Press.
