DocumentCode :
3692757
Title :
Time-constrained requirements elicitation: reusing GitHub content
Author :
Roxana Lisette Quintanilla Portugal;Julio Cesar Sampaio do Prado Leite;Eduardo Almentero
Author_Institution :
PUC-Rio, Rio de Janeiro, Brasil
fYear :
2015
fDate :
8/25/2015 12:00:00 AM
Firstpage :
5
Lastpage :
8
Abstract :
Requirements elicitation is the activity of identifying facts that compose the system requirements. One of the steps of this activity is the identification of information sources, which is a time-consuming task. Text documents are typically an important and abundant information source. However, their analysis to gather useful information is also time consuming and hard to automate. Because of its characteristics, the identification of information sources and analysis of text documents are critical in time-constrained projects, which are typically addressed through agile approaches. This paper presents a strategy for time-constrained elicitation, which is based on mining GitHub content. The strategy aims the identification of information sources (similar projects) and the automatic analysis of textual documents (projects content) through text mining techniques. Furthermore, it maintains the traceability between the data mined and its sources, boosting the reuse of existing information. A tool is being created to support the strategy.
Keywords :
"Text mining","Software","Metadata","Natural languages","Filtering","Boosting"
Publisher :
ieee
Conference_Titel :
Just-In-Time Requirements Engineering (JITRE), 2015 IEEE Workshop on
Type :
conf
DOI :
10.1109/JITRE.2015.7330171
Filename :
7330171
Link To Document :
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