Search-Based Software Engineering : 11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 ¿ September 1, 2019, Proceedings

Gregory Gay

ISBN 10: 3030274543 / ISBN 13: 9783030274542

Verlag: Springer International Publishing, Springer International Publishing, 2019

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held inTallinn, 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 andselected 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. Bestandsnummer des Verkäufers 9783030274542

Bibliografische Details

Titel: Search-Based Software Engineering : 11th ...

Verlag: Springer International Publishing, Springer International Publishing

Erscheinungsdatum: 2019

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

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.