Sarah K Amer received her Bachelor’s degree in Informatics and Computer Science from The British University in Egypt in 2010, majoring in Information Systems. Sarah began working as a Teaching Assistant in the Department of Information systems, Faculty of Informatics and Computer Science, The British University in Egypt in 2010. In 2019, she finished work on her M.Sc Degree, focusing her research on current industrial trends and offshoring practices in Egypt’s growing software market, and software process improvement models and techniques to facilitate the quality of processes while maintaining agility.
Sarah’s research focuses on understanding software development trends in the industry, especially pertaining to Egypt’s growing software market in relation to the global market. This encompasses software engineering aspects such as process improvement, quality assurance methodologies, agile mapping to process areas, and methods to incorporate Small-to-Medium Enterprises more fully into the quality ecosystem. Aspects of research include:
- Capability Maturity Model Integration (CMMI)
- Requirements analysis, measurement, and development
- Data analysis and visualization
- Quality Assurance Methodology and Process Maturity
- Agile Methodology
- Database Systems
- Amer, S. K. , Badr, N. , Ibrahim, O. , Hamad, A. (2016). 'Effectiveness of Adopting Software Quality Frameworks in Software Organizations: A Qualitative Review'. World Academy of Science, Engineering and Technology, International Science Index, Computer and Information Engineering, 10(9), 1908.
- Amer, S. K., Badr, N., & Hamad, A. (2019, March). Combining CMMI Specific Practices with Scrum Model to Address Shortcomings in Process Maturity. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 898-907). Springer, Cham.
- Amer, S. K., Badr, N., Ibrahim, O., & Hamad, A. (2017, December). Empirical study on the effectiveness of adopting software quality frameworks in the Egyptian software industry. In 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) (pp. 263-270). IEEE.