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This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing.
The book will be of interest to students, researchers as well as professionals in the software industry.
List of contents
Understanding Test Debt.- Agile Testing.- Security Testing.- Uncertainty in Software Testing.- Separation Logic to Meliorate Software Testing and Validation.- mDSM: A Transformative Approach to Enterprise Software Systems Evolution.- Testing as a Service.
About the author
Hrushikesha Mohanty is currently a professor at the School of Computer and Information Sciences, University of Hyderabad. He has received his PhD from IIT Kharagpur. His research interests include Distributed Computing, Software Engineering and Computational Social Science. Before joining University of Hyderabad, he worked at Electronics Corporation of India Limited for developing strategic real-time systems. He has published around 96 research papers and edited 6 books on computer science.
J. R. Mohanty is Associate Professor in the School of Computer Application, KIIT University, Bhubaneswar, Odisha (India). He has been working in the field of computer applications for 19 years. He earned his PhD in Computer Science from Utkal University, India. His research interests include queuing networks, computational intelligence, and data mining.
Balakrishnan Arunkumar is a Senior Consultant at M/s Mettler Toledo Turing Softwares, Coimbatore, India, for the past twelve years. He is also Professor & Director MCA in the Department of Computer Technology & Applications at Coimbatore Institute of Technology, Coimbatore, India, for the past eighteen years (on half sabbatical since June 2003). He acquired his PhD in Computer Science from Bharathiar University in 1996. He has published several papers in international journals and conference proceedings. The publications have been in the areas of Machine learning, Student modeling and Automated Software Testing.
Summary
This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing.
The book will be of interest to students, researchers as well as professionals in the software industry.
