Search-Based Software Engineering

<p>Search-Based Predictive Modelling for Software Engineering: How Far Have We Gone.- Automated Unit Test Generation for Python.- Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering.- It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction.- Search-based Testing for Scratch Programs.- Solving Schedulability as a Search Space Problem with Decision Diagrams.- Transforming Multi-Objective Interactive Metamodel/Model Co-Evolution into Mono-Objective Search via Designer’s Preferences Extraction.- Evolutionary Grammar-Based Fuzzing.- Commonality-Driven Unit Test Generation.- Using a Genetic Algorithm to Optimize Configurations in a Data Driven Application.- Measuring and Maintaining Population Diversity in Search-based Unit Test Generation.- Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems.- Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation.- Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software.- Bet and Run for Test Case Generation.- Bytecode-based Multiple Condition Coverage: An Initial Investigation.- An application of model seeding to search-based unit test generation for Gson.- Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection.- Defects4J as a Challenge Case for the Search-Based Software Engineering Community.</p>