Search-Based Software Engineering  12th International Symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, Proceedings /  [electronic resource] : 
edited by Aldeida Aleti, Annibale Panichella. 
 - 1st ed. 2020. 
 - XIV, 263 p. 86 illus.  online resource. 
 - Programming and Software Engineering,  12420  2945-9168 ; .
 - Programming and Software Engineering,  12420 .
<br/><br/>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 forMobile 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. 
<br/><br/> This book constitutes the refereed proceedings of the 12th International Symposium on Search-Based Software Engineering, SSBSE 2020, held in Bari, Italy, in October 2020. The 13 research papers and 5 short papers presented together with 1 keynote were carefully reviewed and selected from 34 submissions. SBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results. Due to the Corona pandemic SSBSE 2020 was held as a virtual event. 
<br/><br/><label>ISBN: </label>9783030597627 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-59762-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Software engineering.<br/>Algorithms.<br/>Microprogramming .<br/>Computer networks .<br/>Application software.<br/>Computer science--Mathematics.<br/>Software Engineering.<br/>Algorithms.<br/>Control Structures and Microprogramming.<br/>Computer Communication Networks.<br/>Computer and Information Systems Applications.<br/>Mathematics of Computing.
<br/><br/><label>LC Class. No.: </label>QA76.758 
<br/><br/><label>Dewey Class. No.: </label>005.1