Abstract—One of the most difficult tasks in the development
of software is the identification of the functional requirements.
A well-defined functional requirement will eventually map the
success of a software project. A support tool that can
recommend candidate functional requirements for a software
project being developed will help software engineers to deliver
the right software to the clients.
The purpose of this study is to determine whether a collection
of previously developed software applications can serve as basis
for the development of a model to identify functional
requirements of a project to be developed. Completed software
project documentations of Master in Information Technology
graduates from Higher Education Institutions in northern
Luzon were collected and categorized, and projects on Faculty
Evaluation Systems were analyzed in order to extract the
vectors of functional requirements for the target software
domain. Item-to-item collaborative filtering is then applied to
these vectors to form the recommender model. Finally, the
model was validated using the leave-one-out cross-validation
technique. The resulting high accuracy rate indicates that the
model built using the item-to-item collaborative filter may be
used to build a tool that can automatically recommend
important related functional requirements given one or more
requirements identified by any of the project stakeholders.
Index Terms—Collaborative filtering, functional
requirements, item-to-item collaborative filtering,
requirements engineering.
Reynald Jay F. Hidalgo is with School of Information Technology
Education of Colegio De Dagupan, Dagupan City, Philippines (e-mail:
reynaldjayhidalgo@yahoo.com).
Proceso L. Fernandez is with Ateneo de Manila University, Quezon City,
Philippines.
Cite: Reynald Jay F. Hidalgo and Proceso L. Fernandez, "Functional Requirements Identification Using Item-to-Item Collaborative Filtering," International Journal of Information and Education Technology vol. 5, no. 10, pp. 758-762, 2015.