Testing Software and Systems : 31st IFIP WG 6.1 International Conference, ICTSS 2019, Paris, France, October 15-17, 2019, Proceedings / edited by Christophe Gaston, Nikolai Kosmatov, Pascale Le Gall.

Format:

Book

Contributor:

Gaston, Christophe (Computer scientist), editor.

Kosmatov, Nikolai, editor.

Le Gall, Pascale, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Programming and software engineering ; SL 2, 11812.

Programming and Software Engineering ; 11812

Language:

English

Subjects (All):

Software engineering.

Computer organization.

Computer logic.

Artificial intelligence.

Computers.

Software Engineering.

Computer Systems Organization and Communication Networks.

Logics and Meanings of Programs.

Artificial Intelligence.

Computing Milieux.

Local Subjects:

Software Engineering.

Computer Systems Organization and Communication Networks.

Logics and Meanings of Programs.

Artificial Intelligence.

Computing Milieux.

Physical Description:

1 online resource (XIV, 297 pages) : 247 illustrations, 41 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 31st IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2019, held in Paris, France, in October 2019. The 14 regular papers and 3 short papers presented were carefully reviewed and selected from 30 submissions. This year also included an additional industrial paper. ICTSS is a series of international conferences addressing the conceptual, theoretic, and practical problems of testing software systems, including communication protocols, services, distributed platforms, middleware, embedded and cyber-physical systems, and security infrastructures.

Contents:

Test and Artificial Intelligence

Learning a Behavior Model of Hybrid Systems through Combining Model-Based Testing and Machine Learning

Regular expression learning with evolutionary testing and repair

Testing Chatbots using Metamorphic Relations

Generating Biased Dataset for Metamorphic Testing of Machine Learning Programs

Test Case Generation

Combining Model Refinement and Test Generation for Conformance Testing of the IEEE PHD Protocol using Abstract State Machines

Evaluating the complexity of deriving adaptive homing, synchronizing and distinguishing sequences for nondeterministic FSMs

Multiple Mutation Testing for Timed Finite State Machine With Timed Guards and Timeouts

Empirical Approaches

An Empirical Evaluation of Search Algorithms for App Testing

Performance comparison of two search-based testing strategies for ADAS System Validation

Testing and Verification Techniques

Bounded Exhaustive Testing with Certified and Optimized Data Enumeration Programs

A Mechanised Proof of an Adaptive State Counting Algorithm

A Model Checking based Approach for Detecting SDN Races

Security and Performance Testing

Towards an Efficient Performance Testing through Dynamic Workload Adaptation

DYNAMOJM: A JMeter Tool for Performance Testing using Dynamic Workload Adaptation

Attack tolerance for service-based applications in the Cloud

Industrial Applications

Automatic generation of test oracles from component based software architectures

Industrial IoT Security Monitoring and Test on Fed4Fire+ Platforms

TestDCat: Catalog of Test Debt Subtypes and Management Activities.

Other Format:

Printed edition:

ISBN:

978-3-030-31280-0

9783030312800

Access Restriction:

Restricted for use by site license.