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Automated Software Testing Foundations Applications and Challenges at Meripustak

Automated Software Testing Foundations Applications and Challenges by Ajay Kumar Jena, Himansu Das, Durga Prasad Mohapatra , Springer

Books from same Author: Ajay Kumar Jena, Himansu Das, Durga Prasad Mohapatra

Books from same Publisher: Springer

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General Information  
Author(s)Ajay Kumar Jena, Himansu Das, Durga Prasad Mohapatra
PublisherSpringer
ISBN9789811524547
Pages165
BindingHardback
LanguageEnglish
Publish YearApril 2020

Description

Springer Automated Software Testing Foundations Applications and Challenges by Ajay Kumar Jena, Himansu Das, Durga Prasad Mohapatra

This book covers both theory and applications in the automation of software testing tools and techniques for various types of software (e.g. object-oriented, aspect-oriented, and web-based software). When software fails, it is most often due to lack of proper and thorough testing, an aspect that is even more acute for object-oriented, aspect-oriented, and web-based software. Further, since it is more difficult to test distributed and service-oriented architecture-based applications, there is a pressing need to discuss the latest developments in automated software testing. This book discusses the most relevant issues, models, tools, challenges, and applications in automated software testing. Further, it brings together academic researchers, scientists, and engineers from a wide range of industrial application areas, who present their latest findings and identify future challenges in this fledging research area._x000D_ Table of contents : - _x000D_ Object Oriented Modeling of multifaceted service delivery system using connected governance.- Automated Requirements Extraction and Product Configuration Verification for Software Product Line.- Test Case Generation for Model Based Testing of Object Oriented Programs.- New Metrics for Predicting the Reliability of Individual Component based on Software Design Metrics.- Prediction priority of defective modules for testing resource allocation.- Early Reliability Prediction Model Integrating Halstead Metrics and Fuzzy Usage.- Investigation and Analysis of Power System Faults with Soft Computational Techniques.- Decision Making on Critical Component Using Combined Approach._x000D_



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