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020 _a9783030597627
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024 7 _a10.1007/978-3-030-59762-7
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
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072 7 _aUMZ
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082 0 4 _a005.1
_223
245 1 0 _aSearch-Based Software Engineering
_h[electronic resource] :
_b12th International Symposium, SSBSE 2020, Bari, Italy, October 7-8, 2020, Proceedings /
_cedited by Aldeida Aleti, Annibale Panichella.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 263 p. 86 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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490 1 _aProgramming and Software Engineering,
_x2945-9168 ;
_v12420
505 0 _aSearch-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.
520 _aThis 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.
650 0 _aSoftware engineering.
_94138
650 0 _aAlgorithms.
_93390
650 0 _aMicroprogramming .
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650 0 _aComputer networks .
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650 0 _aApplication software.
_9112974
650 0 _aComputer science
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650 1 4 _aSoftware Engineering.
_94138
650 2 4 _aAlgorithms.
_93390
650 2 4 _aControl Structures and Microprogramming.
_932083
650 2 4 _aComputer Communication Networks.
_9112975
650 2 4 _aComputer and Information Systems Applications.
_9112976
650 2 4 _aMathematics of Computing.
_931875
700 1 _aAleti, Aldeida.
_eeditor.
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700 1 _aPanichella, Annibale.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
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830 0 _aProgramming and Software Engineering,
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