Search-Based Software Engineering

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Details

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.

Inhalt
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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030274542
    • Editor Gregory Gay, Shiva Nejati
    • Sprache Englisch
    • Auflage 1st edition 2019
    • Größe H235mm x B155mm x T12mm
    • Jahr 2019
    • EAN 9783030274542
    • Format Kartonierter Einband
    • ISBN 3030274543
    • Veröffentlichung 03.08.2019
    • Titel Search-Based Software Engineering
    • Untertitel 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 - September 1, 2019, Proceedings
    • Gewicht 324g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 208
    • Lesemotiv Verstehen
    • Genre Informatik

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