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_a10.1007/978-3-030-27455-9 _2doi |
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_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. |
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300 |
_aXIV, 191 p. 88 illus., 28 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. _94138 |
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650 | 0 |
_aCompilers (Computer programs). _93350 |
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650 | 0 |
_aComputer programming. _94169 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aAlgorithms. _93390 |
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650 | 1 | 4 |
_aSoftware Engineering. _94138 |
650 | 2 | 4 |
_aCompilers and Interpreters. _931853 |
650 | 2 | 4 |
_aProgramming Techniques. _989728 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aAlgorithms. _93390 |
700 | 1 |
_aNejati, Shiva. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _989729 |
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700 | 1 |
_aGay, Gregory. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _989730 |
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710 | 2 |
_aSpringerLink (Online service) _989731 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030274542 |
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_iPrinted edition: _z9783030274566 |
830 | 0 |
_aProgramming and Software Engineering, _x2945-9168 ; _v11664 _989732 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-27455-9 |
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