Computational Intelligence Applications for Software Engineering Problems (軟體工程問題的計算智慧應用)

這本新書探討了執行不同軟體工程任務所需的計算智能技術。軟體在部署之前需要經歷多個階段，例如需求收集、軟體設計、軟體專案規劃、軟體編碼以及軟體測試和維護。每個階段都包含一系列需要執行的任務或活動。由於軟體的規模龐大且複雜，這些任務可能變得昂貴且容易出錯。本書旨在通過介紹軟體工程領域中的新研究和實際應用，幫助應對這些挑戰。

《軟體工程問題的計算智能應用》討論了使用機器學習、深度學習、基於模糊邏輯的計算、統計建模、入侵性雜草元啟發式算法、人工智能、DevOps模型、時間序列預測模型等技術解決工程挑戰的方法，並提供了案例研究。

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 University, which will be a new technology initiative for graduate, postgraduate, and doctoral students. He has a PhD in computer science and engineering with network coding as his specialization. Dr. Nitin has Master of Technology degree in computer science and engineering and received a Bachelor of Technology in information technology. Dr. Nitin is a recipient of IBM Drona Award and is Top 10 State award winner. About the Editors vii

Prof. Arun Prakash Agrawal is Professor with the Department of Computer Science and Engineering at Sharda University, Greater Noida, India. Prior to his current assignment, he has served many academic institutions, including Amity University, Noida. He has several research papers to his credit in refereed journals and conferences of international repute in India and abroad, including Journal of Neural Computing and Applications, published by Springer. He has also taught short-term courses at Swinburne University of Technology, Melbourne, Australia, and Amity Global Business School, Singapore. His research interests include machine learning, software testing, artificial intelligence, and soft computing. He has obtained his PhD and master's in Computer Science and Engineering from Guru Gobind Singh Indraprastha University, New Delhi, India. He was the gold medalist of his batch.

Vishal Jain, PhD, is Associate Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U.P., India. Before that, he has worked for several years as an associate professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He has more than 400 research citation indices with Google Scholar (h-index score 10 and i-10 index 11). He has authored more than 85 research papers in reputed conferences and journals, including the Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers, including Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012-2013 from the Computer Society of India and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi. He holds PhD (CSE), MTech (CSE), MBA (HR), MCA, MCP, and CCNA.

Parma Nand博士在工業界和學術界擁有超過27年的經驗。他曾獲得多個獎項，包括印度政府的最佳教師獎、2015年微軟的最佳學生專案指導獎和2016年Cognizant的最佳教職員獎。他成功完成了政府資助的專案，並主導了過去五屆IEEE國際計算、通信和自動化會議（ICCCA）、IEEE學生分會、Technovation Hackathon 2019、Technovation Hackathon 2020以及國際計算、通信和智能系統會議（ICCCIS-2021）。他是IEEE北方邦分會（R-10）執行委員會的成員，也是IEEE計算機和信號處理學會執行委員會的成員，同時還是印度計算機學會執行委員會的成員，以及印度諾伊達分會的印度計算機學會執行委員會的成員，並在許多IEEE會議上擔任觀察員。他還是其他專業組織的活躍成員，包括ACM、IEEE、CSI、ACEEE、ISOC、IAENG和IASCIT。他是軟計算研究學會（SCRS）和ISTE的終身會員。Nand博士在印度和國外的國際和國內會議、研討會和研討會上發表了許多邀請和主題演講。他在同行評審的國際和國內期刊和會議上發表了150多篇論文。他還在Springer和其他知名出版物上發表了多篇專書章節。他曾為Tata McGraw-Hill和Galgotias Publications等出版商審查了許多書籍，並為國際期刊審查了論文。他是知名國際和國內會議的顧問/技術計劃委員會的活躍成員。他的研究興趣包括計算機圖形學、算法、分布式計算以及無線和感測器網絡。Nand博士在印度羅爾基工學院獲得了計算機科學和工程博士學位，並在印度德里的印度理工學院獲得了計算機科學和工程的碩士和學士學位。

Nitin Rakesh博士是計算機科學領域的經驗豐富的專業人士。目前，Nitin博士是印度北方邦大學Sharda大學計算機科學與工程系的系主任，負責BTech/MTech（CSE/IT）、BTech CSE-IBM專業、BTech CSE-I Nurture、BCA/MCA、BSc/MSc-CS等課程。他還與其他部門合作，進行增強、研究和學術計劃、工業界接口和其他重大發展。他是包括IEEE（美國）、ACM和SIAM（美國）在內的專業學會的活躍成員，並且是CSI和其他專業學會的終身會員。他是多個知名期刊的審稿人，包括IEEE Transactions on Vehicular Technology、The Computer Journal和其他Scopus索引的國際期刊。他在Scopus索引/SCI/高影響力期刊和國際會議上發表了100多篇論文。他的研究工作主要集中在網絡編碼、互連網絡和架構以及在線虛擬交易。Nitin博士曾獲得多個最佳發表論文獎、最高引用作者獎、最佳指導學生論文獎等獎項。在之前的職位上，他在多個組織（Amity大學、Jaypee大學、Galgotias等）進行了各種工業界接口的學術和研究工作。Nitin博士在各個大學和研究機構指導了八名博士生，並成功指導了多名MTech和BTech學生。他曾為包括NAAC、NBA、QAA、WASC、UGC、IAU、IET等在內的多個知名認證機構做出貢獻。他在Sharda大學啟動了一個物聯網和網絡實驗室，這將是研究生、碩士研究生和博士研究生的新技術項目。他擁有計算機科學和工程博士學位，專攻網絡編碼。