Testing Software and Systems: Lecture Notes in Computer Science, cartea 11812
Editat de Christophe Gaston, Nikolai Kosmatov, Pascale Le Gallen Limba Engleză Paperback – 18 sep 2019
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Specificații
ISBN-13: 9783030312794
ISBN-10: 3030312798
Pagini: 312
Ilustrații: XIV, 297 p. 247 illus., 41 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.48 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030312798
Pagini: 312
Ilustrații: XIV, 297 p. 247 illus., 41 illus. in color.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.48 kg
Ediția:1st ed. 2019
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
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 OptimizedData 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.