Search-Based Software Engineering

11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings

Buch | Softcover

XIV, 191 Seiten

2019
Springer International Publishing (Verlag)
978-3-030-27454-2 (ISBN)

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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.

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.

Erscheinungsdatum	04.08.2019
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Programming and Software Engineering
Zusatzinfo	XIV, 191 p. 88 illus., 28 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	326 g
Themenwelt	Mathematik / Informatik ► Informatik ► Software Entwicklung
Schlagworte	Algorithm analysis and problem complexity • concurrent software testing • evolutionary algorithm • evolutionary algorithms • Genetic algorithms • Java • machine learning • mobile applications • Model-Based Testing • partition testing • Programming Languages • search-based software engineering • Search Spaces • software analytics • Software engineering • Software Evaluation
ISBN-10	3-030-27454-3 / 3030274543
ISBN-13	978-3-030-27454-2 / 9783030274542
Zustand	Neuware