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020 _a9783030274559
_9978-3-030-27455-9
024 7 _a10.1007/978-3-030-27455-9
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aCOM051230
_2bisacsh
072 7 _aUMZ
_2thema
082 0 4 _a005.1
_223
245 1 0 _aSearch-Based Software Engineering
_h[electronic resource] :
_b11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /
_cedited by Shiva Nejati, Gregory Gay.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXIV, 191 p. 88 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aProgramming and Software Engineering,
_x2945-9168 ;
_v11664
505 0 _aSearch-Based Predictive Modelling for Software Engineering: How Far Have We Gone -- A Systematic Comparison of Search Algorithms for Topic Modelling -- A Study on Duplicate Bug Report Identification -- Constructing Search Spaces for SBST using Machine Learning -- A Review of Ten Years of the Symposium on Search-Based Software Engineering -- Does Diversity Improve the Test Suite Generation for Mobile Applications -- Detect Performance Regression by Combining Static and Dynamic metrics Using Evolutionary Algorithms -- General Program Synthesis using Guided Corpus Generation and Automatic Refactoring -- A Search-Based Approach to Generate MC/DC Test Data for OCL Constraints -- Bio-Inspired Optimization of Test Data Generation for Concurrent Programs -- Revisiting Hyper-Parameter Tuning for Search-based Software Testing -- Towards Automated Boundary Value Testing with Program Derivatives and Search -- Code Naturalness to Assist Search Space Exploration in Search-based Program Repair Methods -- Dorylus:An Ant Colony Based Tool for Automated Test Case Generation -- Software Improvement with Gin.
520 _aThis book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held in Tallinn, Estonia, in August/September 2019. The 9 research papers and 3 short papers presented together with 1 keynote and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE 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.
650 0 _aSoftware engineering.
650 0 _aCompilers (Computer programs).
650 0 _aComputer programming.
650 0 _aArtificial intelligence.
650 0 _aAlgorithms.
650 1 4 _aSoftware Engineering.
650 2 4 _aCompilers and Interpreters.
650 2 4 _aProgramming Techniques.
650 2 4 _aArtificial Intelligence.
650 2 4 _aAlgorithms.
700 1 _aNejati, Shiva.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGay, Gregory.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030274542
776 0 8 _iPrinted edition:
_z9783030274566
830 0 _aProgramming and Software Engineering,
_x2945-9168 ;
_v11664
856 4 0 _uhttps://doi.org/10.1007/978-3-030-27455-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c173557
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