Chapter 1. A Three-way decision-making approach for Customer Churn prediction using Game-Theoretic Rough sets.- Chapter 2. QAExtractor: A Quality Attributes Extraction Framework in Agile-based Software Development.- Chapter 3. Automated Classification of Mobile App Reviews considering User’s Quality Concerns.- Chapter 4. Cost and Makespan-Centric Task Scheduling in a Heterogeneous Cloud Computing Environment using Whale Optimization Algorithm (WOA).- Chapter 5. Analyzing GoLang Projects' Architecture using Code Metrics and Code Smell.
Dr. Sajid Anwar is Associate Professor at the Center of Excellence in Information Technology Institute of Management Sciences (IMSciences), Peshawar, Pakistan. He received his M.S. (Computer Science, 2007) and Ph.D. degrees (Software Engineering, 2011) from NUCES-FAST, Islamabad. Previously, he was Head of Undergraduate Program in Software Engineering at IMSciences. Dr. Sajid Anwar is Leading Expert in software architecture engineering and software maintenance prediction. His research interests are cross-disciplinary & industry focused and includes search-based software engineering; Prudent based expert systems; customer analytics; active learning and applying data mining and machine learning techniques to solve real-world problems. Dr. Sajid Anwar is Associate Editor of Expert Systems Journal Wiley. He has been Guest Editor of numerous journals, such as Neural Computing and Applications, Cluster Computing Journal Springer, Grid Computing Journal Springer, Expert Systems Journal Wiley, Transactions on Emerging Telecommunications Technologies Wiley, and Computational and Mathematical Organization Theory Journal Springer. He is also in Member Board Committee Institute of Creative Advanced Technologies, Science and Engineering, Korea (iCatse.org). He has supervised to completion of many M.S. research students. He has conducted and led collaborative research with government organizations and academia and has published over 45 research articles in prestigious conferences and journals.
Dr. Abdul Rauf is currently working as ERCIM Postdoc Fellow at RISE Research Institutes of Sweden in Vasteras, Sweden. He received his Ph.D. (2011) from National University of Computer & Emerging Sciences, Pakistan. He has also worked as Assistant Professor in Imam Saud University in Saudi Arabia from 2012 to 2019. He has published 40+ international peer-reviewed conference and journal articles. His research interests relate to software testing, natural language processing, and social media analysis. Other areas of interest include software process improvement, quality assurance, software requirement engineering, and software project management. He has been in organizing committee of the ICTHP and was Track Chair at ICACC. He was also part of the technical committee in several conferences including FIT, INMIC, ICET, ICEET, IMDC, DSDE, ECIST, and IntelliSys
This book is a collection of research papers presented at the International Workshop on Intelligent Software Engineering Automation (ISEA 2020) in the 27th Asia-Pacific Software Engineering Conference (APSEC 2020), during 1–4 December 2020 in Singapore. The book discusses automated tools and techniques which are required to reflect over business knowledge to identify what is missing or could be effectively changed while producing and evolving. The book presents works from international researchers and practitioners in the fields of intelligent software engineering/automated software engineering to discuss applications, experiences, and emerging advanced techniques.