Risk Factors for Software Requirements Change Implementation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 3
Abstract
Requirements change has been regarded as a substantial risk in software development projects. The factors that contribute to the risk are identified through impact analysis, which later determine the planning of the change implementation. The analysis is however not straightforward as the risk factors that constitute requirements change implementation is currently not much explored. This paper identifies the risk factors by firstly collating them qualitatively through a review of related work and a focus group study. The factors are then confirmed quantitatively through a survey in which data is analysed by using Partial Least Squares Structural Equation Modelling (PLS-SEM). The survey comprise of 276 practitioners from software industry who are involved in the impact analysis. The results indicate that User, Project Team, Top Management, Third Party, Organisation, Identification of Change, Existing Product and Planning of Change Implementation are the significant risk factors in planning of requirements change implementation.
Authors and Affiliations
Marfizah A. Rahman, Rozilawati Razali, Fatin Filzahti Ismail
Keywords
Related Articles
- EP ID EP498423
- DOI 10.14569/IJACSA.2019.0100316
- Views 72
- Downloads 0
Answer Extraction System Based on Latent Dirichlet Allocation
Question Answering (QA) task is still an active area of research in information retrieval. A variety of methods which have been proposed in the literature during the last few decades to solve this task have achieved mixe...
A Web Service Composition Framework based on Functional Weight to Reach Maximum QoS
The recent trend in the web world is to accomplish almost all the user services in every field through the web portals of the respective organizations. But a specific task with series of actions cannot be completed by a...
A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage
A smart grid is an advancement in electrical grid which includes a variety of operational and energy measures. To utilize energy distribution in an eļ¬cient manner, demand side management has become the fore-runner. In ou...
Individual Syllabus for Personalized Learner-Centric E-Courses in E-Learning and M-Learning
Most of e-learning and m-learning systems are course-centric. These systems provided services that concentrated on course material and pedagogical. They did not take into account varieties of student levels, skills, inte...
Fingerprint Gender Classification using Univariate Decision Tree (J48)
Data mining is the process of analyzing data from a different category. This data provide information and data mining will extracts a new knowledge from it and a new useful information is created. Decision tree learning...