Home // ICSEA 2016, The Eleventh International Conference on Software Engineering Advances // View article

ReUse: A Recommendation System for Implementing User Stories

Authors:
Heidar Pirzadeh
Andre de Santi Oliveira
Sara Shanian

Keywords: Recommendation System; Text Mining; Program Comprehension; Information Retrieval; Agile Software Development

Abstract:
In agile software development, user stories contain feature descriptions that are used as the entry points of discussions about the design, specification, requirements, and estimation of the software features. The first step in implementing a user story is to find proper files in the code base to make changes. To help the developers, in this paper, we describe a new approach that automatically recommends the files where a feature will most likely be implemented based on a given user story that describes the feature.

Pages: 149 to 153

Copyright: Copyright (c) IARIA, 2016

Publication date: August 21, 2016

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-498-5

Location: Rome, Italy

Dates: from August 21, 2016 to August 25, 2016