| Description |
1 online resource : illustrations (some color) |
| Series |
Lecture notes in computer science ; 11664 |
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LNCS sublibrary, SL 2, Programming and software engineering |
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Lecture notes in computer science ; 11664.
|
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LNCS sublibrary. SL 2, Programming and software engineering.
|
| Contents |
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 |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed September 11, 2019) |
| Subject |
Computer science -- Congresses
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Logic design -- Congresses
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Software engineering -- Congresses
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Programming languages (Electronic computers) -- Congresses
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Operating systems (Computers) -- Congresses
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Computer science
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Logic design
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Operating systems (Computers)
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Programming languages (Electronic computers)
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Software engineering
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Nejati, Shiva, editor
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Gay, Gregory, editor
|
| ISBN |
9783030274559 |
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3030274551 |
|
3030274543 |
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9783030274542 |
|
9783030274566 |
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303027456X |
|
