Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software

Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software

Noted as an IGI Global Core Reference Title in Computer Science & IT for 2019.

Geoffrey Muchiri Muketha (Murang'a University of Technology, Kenya) and Elyjoy Muthoni Micheni (Technical University of Kenya, Kenya)
Release Date: July, 2019|Copyright: © 2020 |Pages: 391|DOI: 10.4018/978-1-5225-7678-5
ISBN13: 9781522576785|ISBN10: 1522576789|EISBN13: 9781522576792|ISBN13 Softcover: 9781799802365
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Enterprise resource planning (ERP) is a class of integrated software that uses software technologies to implement real-time management of business processes in an organization. ERPs normally cut across organizations, making them large and complex. Software researchers have for many years established that complexity affects software quality negatively and must therefore be controlled with novel metrics and models of evaluation that can determine when the software is at acceptable levels of quality and when not.

Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software is a critical scholarly publication that examines ERP development, performance, and challenges in business settings to help improve decision making in organizations that have embraced ERPs, improve the efficiency and effectiveness of their activities, and improve their return on investments (ROI). Highlighting a wide range of topics such as data mining, higher education, and security, this book is essential for professionals, software developers, researchers, academicians, and security professionals.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Data Mining
  • Employee Readiness
  • ERP Software
  • Higher Education
  • Information Systems
  • Quality Assurance
  • Security
  • Software Maintenance
  • Sustainability
  • User Perception

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Geoffrey Muchiri Muketha is an Associate Professor and Ag. Dean of the School of Computing and Information Technology, Murang’a University of Technology, Kenya. He received his BSc. in Information Science from Moi University in 1995, his MSc. in Computer Science from Periyar University in 2004, and his Ph.D. in Software Engineering from Universiti Putra Malaysia in 2011. He has many years of experience in teaching, research, and supervision of postgraduate students. His research interests include software and business process metrics, software quality, verification and validation, empirical methods in software engineering, and component-based software engineering. He is a member of the International Association of Engineers (IAENG).
Elyjoy M. Micheni is a Senior lecturer in Information Systems in the Department of Management Science and Technology at The Technical University of Kenya. She holds a PhD (Information Technology) from Masinde Muliro University of Science and Technology, Master of Science (Computer Based Information Systems) from Sunderland University, (UK); Bachelor of Education from Kenyatta University; Post Graduate Diploma in Project Management from Kenya Institute of Management. She has taught Management Information System courses for many years at University level. She has presented papers in scientific conferences and has many publications in referred journals. She has also co-authored a book for Middle level colleges entitled: “Computerized Document Processing”. Her career objective is to tap computer-based knowledge as a tool to advance business activities, promote research in ICT and enhance quality service.