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Search-Based Software Engineering : 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 - September 1, 2019, Proceedings / edited by Shiva Nejati, Gregory Gay.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Programming and software engineering 2945-9168 ; SL 2, 11664
- Programming and Software Engineering, 2945-9168 ; 11664
- Language:
- English
- Subjects (All):
- Software engineering.
- Compilers (Computer programs).
- Computer programming.
- Artificial intelligence.
- Algorithms.
- Software Engineering.
- Compilers and Interpreters.
- Programming Techniques.
- Artificial Intelligence.
- Local Subjects:
- Software Engineering.
- Compilers and Interpreters.
- Programming Techniques.
- Artificial Intelligence.
- Algorithms.
- Physical Description:
- 1 online resource (XIV, 191 pages) : 88 illustrations, 28 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-27455-9
- 9783030274559
- Access Restriction:
- Restricted for use by site license.
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