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Record Nr. |
UNISA996418317903316 |
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Titolo |
Search-based software engineering : 12th international symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, proceedings / / Aldeida Aleti, Annibale Panichella (editors) |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2020] |
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©2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 263 p. 86 illus.) |
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Collana |
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Lecture Notes in Computer Science ; ; 12420 |
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Disciplina |
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Soggetti |
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Software engineering |
Search engines |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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Selection -- Defects4J as a Challenge Case for the Search-Based Software Engineering Community. |
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Sommario/riassunto |
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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. |
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