Automated Software Testing

Foundations, Applications and Challenges
Herausgegeben:Jena, Ajay Kumar; Das, Himansu; Mohapatra, Durga Prasad

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Services and Business Process Reengineering
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-15-2454-7
• 1st ed. 2020
• Seitenzahl: 180
• Erscheinungstermin: 4. Februar 2020
• Englisch
• Abmessung: 241mm x 160mm x 16mm
• Gewicht: 392g
• ISBN-13: 9789811524547
• ISBN-10: 9811524548
• Artikelnr.: 58353918

Autorenporträt

Ajay Kumar Jena is currently working as an Assistant Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. He received his Ph.D. in Software Engineering from KIIT Deemed to be University in 2016. His main teaching areas are software engineering, programming languages, OS, data mining, and cryptography. Dr. Jena has published more than 15 papers in international journals and conference proceedings, and two book chapters. Himansu Das is working as an Assistant Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. He received his B.Tech and M.Tech degrees from Biju Patnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conference proceedings. He has also edited several books of international repute. He is an editorial/reviewer board member for various journals and conferences. He is also affiliatedwith various educational and research societies, e.g. the IACSIT, ISTE, UACEE, CSI, IET, IAENG, ISCA, etc. Holding 10 years of teaching and research experience, his main research interests include grid computing, cloud computing, and machine learning.  Durga Prasad Mohapatra received his Ph.D. from the Indian Institute of Technology Kharagpur and is presently serving as a Professor at the NIT Rourkela, Odisha. His research interests include software engineering, real-time systems, discrete mathematics, and distributed computing. He has published more than 30 research papers in these fields in various international journals and conference proceedings. He has received several project grants from the DST and UGC, Government of India. He received the Young Scientist Award for the year 2006 from Orissa Bigyan Academy. He also received the Prof. K. Arumugam National Award and the Maharashtra State National Award for outstanding research work in Software Engineering from the Indian Society for Technical Education (ISTE), New Delhi, for the years 2009 and 2010, respectively.

Inhaltsangabe

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.