Nejati / Gay Search-Based Software Engineering

11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings
Erscheinungsjahr 2019
ISBN: 978-3-030-27455-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 191 Seiten, eBook

Reihe: Programming and Software Engineering

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.

Zielgruppe

Research

Autoren/Hrsg.

Nejati, Shiva

Gay, Gregory

Inhaltsverzeichnis

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.