CIASSEP-2021: Computational Intelligence & Its Applications in Solving Software Engineering Problems |
Submission link | https://easychair.org/conferences/?conf=ciassep2021 |
Abstract registration deadline | December 10, 2020 |
Submission deadline | February 20, 2021 |
- Book Title: Impacts and Challenges of Computation Intelligence in Software Engineering
- Publisher: Apple Academic Press, CRC Press, Taylor & Francis Group
- Submission Link: https://easychair.org/conferences/?conf=ciassep2021
Editors:
- Dr. Parma Nand, Sharda University, Greater Noida, U. P., India
- Dr. Nitin Rakesh, Sharda University, Greater Noida, U. P., India
- Dr. Arun Prakash Agrawal, Sharda University, Greater Noida, U. P., India
- Dr. Vishal Jain, Sharda University, Greater Noida, U. P., India
As software systems are becoming very large and complex, they are upbringing with various challenges. Software undergoes various stages before deployment such as requirements elicitation, software designing, software project planning, software coding, software testing and maintenance. Every stage is bundled with a number of costly and error-prone tasks or activities to be performed. Thus, we need to explore computational intelligence techniques to carry out different software engineering tasks. Computational intelligence is closely related to artificial intelligence where the heuristic as well as metaheuristic algorithms are designed to provide better and optimized solution in reasonable amount of time. These algorithms have been successfully applied to different application domains such as medical, bioinformatics, computer networks (for routing and scheduling), forecasting etc. In addition, researchers have applied intelligent techniques to various domains of software engineering as well such as software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, maintainability prediction, quality prediction, size estimation, software vulnerability prediction, software test case prioritization and many more. Computational techniques such as evolutionary algorithms, machine learning approaches, meta-heuristic algorithms etc, all constitute different types of intelligent behaviour. Optimization algorithms can be utilized for obtaining a solution to a problem where the goals or targets to be achieved are known. Machine learning algorithms are used when we have sufficient data using which knowledge can be extracted and models can be trained. For example, models can be developed for predicting error prone classes of software. A meta-heuristic is a high-level, iterative process that guides and manipulates an underlying heuristic to efficiently explore the search space. The underlying heuristic can be a local search, or a low or high-level procedure. Meta-heuristics provide near optimal solutions with high accuracy and limited resources in a reasonable amount of time by exploiting the search space. For this book, we invite researchers, academicians and professionals to contribute chapters expressing their ideas and research in the application of intelligent techniques to the field of software engineering. Both theoretical contributions and practical applications are welcome.
Recommended Topics: Full length original and unpublished papers, based on theoretical and experimental contributions, related, but not limited to, the following topics, are solicited for publication in the book:-
- Artificial intelligence in predictive maintenance
- Computational intelligence techniques for improving software engineering
- Computational techniques to solve class imbalance problem
- Developing intelligent systems for software design
- Empirical Software Engineering and its Challenges
- Intelligent feature selection techniques
- Intelligent requirement elicitation to optimize software quality
- Metaheuristics for test case Optimization
- Role of Computational Intelligence in Agile Software Development
- Software cost estimation models using machine learning Techniques
- Software quality prediction using intelligent techniques
- Software Reliability prediction using intelligent techniques
- Test case generation using intelligent algorithms
- Use of intelligent techniques for analysing software repositories
SUBMISSION DUE DATE:
- Call for Chapter Proposal (1000-2000 Words): 10th December, 2020N
- otification of Proposal Approval: 15th January, 2021
- Full Chapter Submission: 20th February, 2021
- Review of Chapters notification to Authors: 15th March, 2021
- Revised Chapter Submission from Chapter Authors (If required): 10th April, 2021
- Final Acceptance/Rejection Notifications to Chapter Authors: 20th May, 2021
Submission Guidelines
SUBMISSION PROCEDURE: This book starts with the range of new concepts in emerging blockchain technology, integration with big data and IoT. It will also introduce new technology gap, business opportunities, future applications, worldwide applicability, challenges and drawbacks respectively. Researchers and practitioners are invited to submit on or before 10th December, 2020 a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 15th January, 2021 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 20th February, 2021 and all interested authors must consult the guidelines for manuscript submissions. There are no submission or acceptance fees for manuscripts submitted to this book publication, Trust in Knowledge Management and Systems in Organizations. All manuscripts are accepted based on a double-blind peer review editorial process. For manuscripts, we require an e-copy of full chapter submitted in Word on a letter-sized paper with no line numbering, a line spacing of 1.5, Times New Roman 11-point font size, margins top/bottom of 1”, margins left/right of 1.25”, and editable equations using an equation editor in MS-WORD 2010. A typical chapter will include the title, author(s) with affiliation/email/mailing address, introduction, literature review if applicable, theoretical approach if applicable, materials and methods, results and discussion, conclusions, summary, detailed list of keywords, references using numbering system and alphabetical order, any appendix, etc. Also, we prefer a numbering system for citations in the body of a chapter. Tables and figures should be included in the text at right place just after their citation. Specialized chapters need not follow this format.
PUBLISHER: Apple Academic Press offers academic researchers, scientists, university faculty, and students high-quality reference and academic content on today’s important topics. Apple Academic Press, Inc., is an independent international publisher focusing on academic and professional books in STEM and other fields. With a focus on relevant content as well as first-class production, Apple Academic Press is dedicated to publishing cutting-edge, informative books written and edited by internationally renowned experts in their fields. Covering fields from nanotechnology to agricultural technology and from hospitality and tourism to chemical engineering and computer science, Apple Academic Press is committed to publishing quality books. Apple Academic Press has partnered with CRC Press, a member of the Taylor & Francis Group, for marketing and distribution worldwide. We are proud to be a member of the International Association of Scientific, Technical & Medical Publishers, please visit http://www.appleacademicpress.com. This publication is anticipated to be released in 2021. All manuscript submissions to the special issue should be sent through the online submission system:
Contact
All questions about submissions should be emailed to ...
Editors:
- Dr. Parma Nand, Sharda University, Greater Noida, U. P., India (Email: parmaastya@gmail.com)
- Dr. Nitin Rakesh, Sharda University, Greater Noida, U. P., India (Email: nitin.rakesh@gmail.com)
- Dr. Arun Prakash Agrawal, Sharda University, Greater Noida, U. P., India (Email: arun_pr_agrawal@yahoo.co.uk)
- Dr. Vishal Jain, Sharda University, Greater Noida, U. P., India (Email: drvishaljain83@gmail.com)