Framework for Applicability of Agile Scrum Methodology: A Perspective of Software Industry
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 9
Abstract
Agile scrum methodology has been evolved over the time largely through software industry where it has grown and developed through empirical progress. The research work presented in this paper has proposed a framework by identifying critical elements for applicability of agile scrum methodology in software industry. The proposed framework is based on four elements, i.e. technical, people, environmental and organizational. The proposed framework is validated through statistical analysis, i.e. Structural Equation Modeling (SEM) after collecting data from software industry personals who are working on agile methodologies. The research concludes that 15 out of 18 hypothesis were found significant which include Training & Learning, Societal Culture, Communication & Negotiation, Personal Characteristics, Customer collaboration, Customer commitment, Decision Time, Team Size, Corporate Culture, Planning, Control, Development, Information Administration, and Working Environment.
Authors and Affiliations
Anum Ali, Mariam Rehman, Maria Anjum
Keywords
Related Articles
- EP ID EP261118
- DOI 10.14569/IJACSA.2017.080932
- Views 98
- Downloads 0
Detecting Distributed Denial of Service Attacks Using Data Mining Techniques
Users and organizations find it continuously challenging to deal with distributed denial of service (DDoS) attacks. . The security engineer works to keep a service available at all times by dealing with intruder attacks....
Smart Card Based Integrated Electronic Health Record System For Clinical Practice
Smart cards are used in information technologies as portable integrated devices with data storage and data processing capabilities. As in other fields, smart card use in health systems became popular due to their increas...
Visual Knowledge Generation from Data Mining Patterns for Decision-Making
The visual data mining based decision support systems had already been recognized in literature. It allows users analysing large information spaces to support complex decision-making. Prior research provides frameworks f...
AN ARCHITECTURAL-MODEL FOR CONTEXT AWARE ADAPTIVE DELIVERY OF LEARNING MATERIAL
The web based learning has become more complex to search required learning resources with continuously growing digital learning contents which are entangled with structural and semantic interrelationship. Meanwhile, the...
Transfer Learning Method Using Ontology for Heterogeneous Multi-agent Reinforcement Learning
This paper presents a framework, called the knowledge co-creation framework (KCF), for heterogeneous multiagent robot systems that use a transfer learning method. A multiagent robot system (MARS) that utilizes reinforcem...