Call for Abstract
Edited Book on
“ Natural Language Processing for Software Engineering Methodology”
Publisher -Wiley
The Publisher will send the Book for Indexing: Scopus and offered to Web of Science
Embedded Files
Chapter Submission is Closed
Mail your full Chapter at - rawat.romil@gmail.com
The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
Important Guidelines for Chapter Preparation
Chapter Template - https://www.scrivenerpublishing.com/guidelines.php
Note that all chapters will be put through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with maximum 3% from any single source). Each Chapter should have Minimum of 18 Pages.
Reviewing Policy: The editor(s) will engage 2 single blind peer-reviewers to assess originality, clarity, usefulness, and adherence to scope of project.
Submission Guidelines and Link
All Chapters must be original and not simultaneously submitted to another journal or conference.
Important Dates:
Book is Under Production Phase ( Proofreading Completed )
Details
About the topic
One of the most significant software paradigms in use today, the software development engineering method, has flourished during the previous two decades. Agile development attempts to make businesses more responsive and adaptable, and one of its most crucial pillars is the continuous delivery of software, which is one of the principles outlined in the agile manifesto. These concepts indicate that several techniques share fundamental elements, such as the iterative methodology that produces incremental, modest delivery of usable software. One of the guiding ideas is that "the software working is the main measure of progress." Another essential value upheld throughout the development is ongoing customer connection.
Depending on their priorities, software development teams today adopt agile approaches. An agile technique like Scrum, for instance, uses fewer documentation artefacts than more conventional development methodologies. eXtreme Programming (XP) aims to increase software quality and responsiveness to changing customer requirements, and Crystal is regarded as a lightweight or agile process that focuses on people and interactions. This semi-agile approach also reduces artefacts while keeping some significant ones, such as the robustness diagram.
It can be challenging to make modifications to a software system after it has been created using Object-Oriented Analysis and Design without spending a lot of time and money. This may be a drawback in contexts that change quickly, where the system may need to be altered often to accommodate new technologies or company needs.
The book's goal is to discuss the most current trends in applying NLP to agile approaches. It makes the case that these areas will continue to develop and merit contributions. Additionally, I've concentrated more on improving requirements engineering, which is a key component of the agile development process. In order to develop more comprehensive tools that are useful in agile development, these findings and the need for additional work focused on combining several of these categories inspire researchers to look for ways to combine at least two of them. These tools will combine requirements improvement, agile software development, and artefact transformation to create tools that can be used by developers to create, organize, and update documentation artefacts throughout the agile project process.
About the book
The book focusses on Software development that is based on visual modelling and is object-oriented and is one of the most significant development paradigms today. To reduce issues throughout the documentation process, there are still a few considerations to make. To assist developers in their documentation tasks, a few aids have been developed. To aid with the documentation process, a variety of related tools (such as assistants) may be made using natural language processing (NLP), The Book is focused on software development and operation using Data Mining, Informatics, Big Data Analytics, Artificial Intelligence (AI),Machine Learning (ML),Digital Image Processing, Internet of Things (IoT),Cloud Computing, Computer Vision , Cyber Security , Industry 4.0 and Health Informatics domains.
Authors can submit any number of chapters and can use Chapter topic of their work, relating towards Book Theme.
Tentative Topics but not limited to:
Agile Software Development Process.
Natural language Programming mapping for object-oriented programming.
Analysis of software engineering methodology Algorithms for Improvement
intelligent dynamic design patterns for web data mining
Integration of Unified Modeling Language mining and web application
Extraction of structured data from software models using Data Mining approach
Exploring Hyperlinks, Contents, and Usage Data using Natural Language Processing
Focused Object oriented deign Using Ontology in Web Mining
Automated Software Content Integration using NLP Approach
search engine optimization Techniques
Business intelligence and Computer Aided Software Engineering (CASE) tool analysis
Monitoring websites for automatically notified about changes.
Deployment for Expert in distributed computing with Spark, DevOps Tools (Jenkins) and API endpoint development.
Analysis of machine learning libraries such as TensorFlow, Pytorch, Scikit-Learn.
Automated hyperparameter tuning and model selection using AWS SageMaker or Azure ML
Big data models deployment using Spark, MLlib, PySpark, Scala ,Kafka ,Kubernetes
Harvest email addresses at Online social network platform for cyber attack spamming.
Collect personal information from Online social network using NLP for phishing attacks.
NLP based Business Intelligence
NLP, Machine Learning and Artificial Intelligence for detecting cyber threats
Social Media Scraping Tools deployment using NLP
Facebook, Twitter data scrapping
Artificial Neural Network algorithms for Software engineering processes
Text Mining techniques and Natural Language Processing
NLP intelligence for Pattern Mining using Artificial intelligence, robotics, big data, cloud computing, virtual reality and digital information technologies.
Keywords:
·· Agile Modelling,
· Natural Language Processing(NLP),
· Object-Oriented Analysis and Design,
· agile software development ,
· Text Analysis ,
· Linguistic Data,
· Language Processing,
· Python, Tagging Words,
· UML Modelling
· semantic parsing,
· Developer Intelligence ,
· Software Tools ,
· Sentiment analysis,
· Machine translation,
· Entity extraction,
· Document classification,
· Machine learning,
· Chatbot,
· Artificial intelligence,
· Stemming,
· Information retrieval,
· cyber security,
· Lemmatisation,
· Automatic summarization,
· Bag-of-words model,
· Biomedical text mining,
· Controlled natural language,
· Ambiguity,
· Linguistics,
· Deep linguistic processing ,
· Document summarization,
· Domain Ontologies
· Intelligent pattern mining
· Online Social network Behavior analysis
· Cyber Crime Features Crawling
· Healthcare Monitoring Based NLP Software Tools.
· Research Documents Mining
· Data mining,
· web data
· Reinforcement Learning Framework
· Web Intelligence
· Online Social Network
· Social Network Analytics
· Process Automation
· Software Robots
· Digital Marketing
· Intelligent Automation
· Machine Learning
· Artificial Intelligence
· Business Computing
· Business Informatics
· Business Management
· Business and Economics
· Information and Communications Systems
· Channel computing
· E- Business outsourcing
· Product engineering computing
· Industry 4.0
· Artificial Neural Network algorithms,
· Text Mining techniques and Natural Language Processing
· Software Robot
· Scripting language.
· Financial Services
· Cyber Security
· IoT
· Healthcare Automation
· Process automation
· Cyber threat
· vulnerabilities
· Cyber threat intelligence
· OSN security and protection
· Crawling Algorithms
· Automotive industry
· Automating privileged
· data management
· Fraud Detection System
· Content Tracing and Identification.
· Bot Monitoring
· Intelligent Algorithm
· E-Channels.
· online social network learning
Inquires:
Editor Details
(1) Dr. Rajesh Kumar Chakrawarti , Dean & Professor, Department of Computer Science & Engineering, Sushila Devi Bansal College(SDBC), Bansal Group of Institutions(BGI), Indore(MP) - India
Dr. Rajesh Kumar Chakrawarti is working as an Dean and Professor, Department of Computer Science & Engineering, Sushila Devi Bansal College(SDBC), Bansal Group of Institutions(BGI), Indore(MP) - India. He has a professional experience of over 20+ years that includes in Academia and Industry. He is involved in teaching courses at both Undergraduate and Post Graduate levels. He is always involved in Teaching, Training, Research, Department, Institution, and University development activities. He has guided 17 Post-Graduate Dissertations and 01 is ongoing. He has organized nearly 100+ Seminars/ Workshops/ FDPs/ SDPs/ Conferences/ Certifications. He has attended around 100+ Seminars/ Workshops/ FDPs/ Conferences/ Certifications and presented/ published/ 100+ Research papers/chapters in books/ abstracts in National/ International Conferences/ Journals. He has worked as Remote Centre Coordinator, Workshop Coordinator, Aakash Project Coordinator, and Spoken Tutorial RESOURCE Centre Coordinator for NMEICT-Project MHRD Govt. of India New Delhi Conducted by IIT-Bombay and IIT-Kharagpur in duration 2012-14 for Remote Centre Shri Vaishnav Institute of Technology and Science (RCID-1117), Indore. His main research interest includes Compiler Design, Natural Language Processing, Computational Linguistics, Machine Translation, & Word-Sense Disambiguation.
Google Scholar : https://scholar.google.com/citations?user=MPmDmUMAAAAJ&hl=en
(2) Ranjana Sikarwar, PhD Scholar (CSE), Amity University, Gwalior, MP, India
Ranjana Sikarwar is currently pursuing PhD from Amity University, Gwalior (Madhya Pradesh). She has a B. E and M. Tech (CSE) and completed her graduation in the year 2006. She also received her M. Tech degree in 2015. Her research interests include Social Network Analysis, Graph Mining, Machine learning, IOT, and Deep learning.
Google Scholar : https://scholar.google.at/citations?hl=en&pli=1&user=Gt-Sor8AAAAJ
(3) Dr. Sanjaya Kumar Sarangi , Utkal University, Coordinator and Adjunct Professor , Utkal University, Bhubaneswar, INDIA
sanjaya.res.cs@utkaluniversity.ac.in
Adjunct Professor and Coordinator at Utkal University, distinguished background in Academic, Research, and Industry sectors combined with 23 years of experience in the knowledge towards achieving the institution's objectives through skill, knowledge, and nourishing the global educational system. He is a qualified GATE and holds a Master of Technology in Comp. Sc & Engg. and Ph.D. degree in Computer Science. He was the Research Fellow in Science and Technology, at UGC, Govt of India, and visiting Doctoral Fellow at the University of California, USA. His research findings are in Wireless Ad hoc and Sensor Networks, IDS, Mobile Communications, Cloud Computing, Geospatial Science and Remote Sensing, Climate Change, and Disaster prediction system. He has a number of publications in Journals and Conferences. He has authored many textbooks and book chapters. He has more than 30 National and International Patents. He is an active member and Life member in many associations and also Editor, Technical Program Committee member, and reviewer in reputed journals and conferences. He is a successful coordinator for the NMICT project conducted by IIT, Bombay, and Kharagpur. His Contributed Digital Resources dedicated to Govt. of Odisha, IGNOU, and CSTA, USA. Academic coordinator in administration to various components of the Internationalization of higher education and international profile-building of university and academic exchange agreements with international universities. Managing International Student and Scholar Services with visibility of the international community and promoting educational and cultural exchange programs as International Student Advisor. Taking care of Information and Communication Technology (ICT) to enhance and optimize the information and worldwide research that can lead to improved student learning and teaching methods. Also undertakes ICT-based support for the smooth functioning of e-learning systems for the university.
Google Scholar : https://scholar.google.com/citations?user=RNujiY4AAAAJ&hl=en
(4) Dr. Samson Arun Raj Albert Raj, Assistant Professor (Grade I) & Placement Coordinator, Division of Computer Science and Engineering, School of Computer Science and Technology, Karunya Institute of Technology and Sciences, Tamil Nadu, Coimbatore, India.
Dr. A. Samson Arun Raj is currently working as an Assistant Professor (Grade I) in the Division of Computer Science and Engineering, School of Computer Science and Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. His research is focused on smart city development using drone networks and energy grids under various applications, and his area of expertise is wireless sensor networks, vehicular ad-hoc networks, and intelligent transportation systems.
Google Scholar : https://scholar.google.com/citations?user=OerwWdkAAAAJ&hl=en&oi=ao
https://www.linkedin.com/in/dr-samson-arun-raj-a-214278b6/
(5) Shweta Gupta, Assistant Professor, Computer Science and Engineering Department, Medicaps University , Indore(M.P.) , India.
shweta.gupta@medicaps.ac.in and shwetaguptacs03@gmail.com
I am Shweta Gupta work as an assistant professor of computer science and engineering at Medicaps University, with a focus on Natural Language Processing, Data mining, machine learning. I want to close the knowledge gap between theory and real-world applications in the tech sector through my love of research and teaching. My approach is centred on encouraging creativity and motivating students to strive for technological excellence.
Google Scholar : https://scholar.google.com/citations?user=Wf8Fc98AAAAJ&hl=en
Scopus id or LinkedIn link: https://www.linkedin.com/in/shweta-gupta-199106286?trk=contact-info
(6) Romil Rawat , Professor, SVIIT, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India.
Romil Rawat attended several research programs and received research grants from USA, Germany, Italy and UK. The Author has research alignment towards Cyber Security, IoT, Dark Web Crime analysis and investigation techniques, and working towards tracing of illicit anonymous contents of cyber terrorism and criminal activities. He also chaired International Conferences and Hosted several research events including National and International Research Schools, PhD colloquium, Workshops, training programs. He also published several Research Patents.
Google Scholar : https://scholar.google.com/citations?user=lpe1g8QAAAAJ&hl=en
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