@inproceedings{dc4f7b122f80443697145086fe0cea77,
title = "Linguistic Analysis of Crowd Requirements: An Experimental Study",
abstract = "Users of today's online software services are often diversified and distributed, whose needs are hard to elicit using conventional RE approaches. As a consequence, crowd-based, data intensive requirements engineering approaches are considered important. In this paper, we have conducted an experimental study on a dataset of 2,966 requirements statements to evaluate the performance of three text clustering algorithms. The purpose of the study is to aggregate similar requirement statements suggested by the crowd users, and also to identify domain objects and operations, as well as required features from the given requirements statements dataset. The experimental results are then cross-checked with original tags provided by data providers for validation.",
keywords = "Crowd-based RE, experiment, requirement clustering, Smart home, Summarization",
author = "{Ali Khan}, Javed and Lin Liu and Yidi Jia and Lijie Wen",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th Workshop on Empirical Requirements Engineering, EmpiRE 2018 ; Conference date: 21-08-2018",
year = "2018",
month = oct,
day = "19",
doi = "10.1109/EmpiRE.2018.00010",
language = "English",
series = "Proceedings - 2018 7th Workshop on Empirical Requirements Engineering, EmpiRE 2018",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "24--31",
editor = "Eric Knauss and Sabrina Marczak and Nazim Madhavji and Maya Daneva",
booktitle = "Proceedings - 2018 7th Workshop on Empirical Requirements Engineering, EmpiRE 2018",
address = "United States",
}