Computational Intelligence Applications for Software Engineering Problems -

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Résumé :
This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more....

Sommaire:

Parma Nand, PhD, has more than 27 years of experience both in industry and academia. He has received various awards, including a best teacher award from the Government of India, best student's project guide award from Microsoft in 2015, and best faculty award from Cognizant in 2016. He has successfully completed government-funded projects and has spearheaded last five IEEE International Conferences on Computing, Communication and Automation (ICCCA), IEEE Student's Chapters, Technovation Hackathon 2019, Technovation Hackathon 2020, International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021). He is a member of the Executive Council of IEEE, Uttar Pradesh section (R-10), member of the Executive Committee of IEEE Computer and Signal Processing Society, member Executive India Council of the Computer Society, and member of the Executive Council Computer Society of India, Noida section, and has acted as an observer at many IEEE conferences. He also has active memberships in other professional organizations, including ACM, IEEE, CSI, ACEEE, ISOC, IAENG, and IASCIT. He is a lifetime member of the Soft Computing Research Society (SCRS) and ISTE. Dr. Nand has delivered many invited and keynote talks at international and national conferences, workshops, and seminars in India and abroad. He has published more than 150 papers in peer-reviewed international and national journals and conferences. He has also published number of book chapters in reputed publications from Springer and others. He has reviewed a number of books for publishers including Tata McGraw-Hill and Galgotias Publications and has reviewed papers for international journals. He is an active member of advisory/technical program committees of reputed international and national conferences. His research interests include computer graphics, algorithms, distributed computing, and wireless and sensor networking. Dr. Nand earned his PhD in Computer Science and Engineering from IIT Roorkee and his MTech and BTech in Computer Science and Engineering from IIT Delhi, India.

Nitin Rakesh, PhD, is an experienced professional in the field of computer science. Currently, Dr. Nitin is Head of the Computer Science & Engineering Department for BTech/MTech (CSE/IT), BTech CSE-IBM Specializations, BTech CSE-I Nurture, BCA/MCA, BSc/MSc-CS at, Sharda University, Greater Noida, U.P., India. He is also working with various other departments for enhancement, research and academic initiatives, industrial interfacing, and other major developments. He is an active member of professional societies that include IEEE (USA), ACM, and SIAM (USA) and is a life member of CSI and other professional societies. He is reviewer for several prestigious journals, including IEEE Transactions on Vehicular Technology, The Computer Journal, and other Scopus-indexed international journals. He has over 100 publications in Scopus-indexed/SCI/high-impact journals and international conferences. His research works is on network coding, interconnection networks and architectures, and online phantom transactions. Dr. Nitin has been awarded several awards for best published paper, highest cited author, best guided student thesis, and many others. Dr. Nitin has been instrumental in various industrial interfacing for academic and research at his previous assignments at various organizations (Amity University, Jaypee University, Galgotias, and others). Dr. Nitin is guiding eight PhD students at various universities and institutes and has successfully guided several MTech and BTech students. Dr. Nitin was contributor to various prestigious accreditations, including NAAC, NBA, QAA, WASC, UGC, IAU, IET, and others. He has initiated an IoT and network lab at Sharda ...