04847nam 22006975 450 991034930190332120200703082924.03-030-27455-110.1007/978-3-030-27455-9(CKB)4100000009076306(DE-He213)978-3-030-27455-9(MiAaPQ)EBC5922538(PPN)242823718(EXLCZ)99410000000907630620190802d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierSearch-Based Software Engineering 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings /edited by Shiva Nejati, Gregory Gay1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XIV, 191 p. 88 illus., 28 illus. in color.) Programming and Software Engineering ;11664Includes index.3-030-27454-3 Search-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.This 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.Programming and Software Engineering ;11664Software engineeringProgramming languages (Electronic computers)Computer programmingArtificial intelligenceAlgorithmsSoftware Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/I14029Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Software engineering.Programming languages (Electronic computers).Computer programming.Artificial intelligence.Algorithms.Software Engineering.Programming Languages, Compilers, Interpreters.Programming Techniques.Artificial Intelligence.Algorithm Analysis and Problem Complexity.005.1005.1Nejati Shivaedthttp://id.loc.gov/vocabulary/relators/edtGay Gregoryedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349301903321Search-Based Software Engineering2966323UNINA