Search-Based Software Engineering: Lecture Notes in Computer Science, cartea 12420
Editat de Aldeida Aleti, Annibale Panichellaen Limba Engleză Paperback – 30 sep 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.
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Specificații
ISBN-13: 9783030597610
ISBN-10: 303059761X
Pagini: 280
Ilustrații: XIV, 263 p. 86 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.43 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 303059761X
Pagini: 280
Ilustrații: XIV, 263 p. 86 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.43 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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.