DocumentCode
230793
Title
Contents
fYear
2014
fDate
26-26 Aug. 2014
Firstpage
1
Lastpage
1
Abstract
The following topics are dealt with: pragmatic ambiguity detection; natural language requirements; machine learning; requirements engineering; problem automotive industry; AI customizable rule-based verification; requirement ontology; content-based recommendation techniques; requirement representation; answer set programming; data mining; sensor data; contextual requirement analysis; quality attribute tradeoff model; knowledge representation; and reasoning.
Keywords
content-based retrieval; data mining; formal verification; inference mechanisms; learning (artificial intelligence); logic programming; natural language processing; ontologies (artificial intelligence); recommender systems; AI; answer set programming; automotive industry; content-based recommendation techniques; contextual requirement analysis; customizable rule-based verification; data mining; knowledge representation; machine learning; natural language requirements; pragmatic ambiguity detection; quality attribute tradeoff model; reasoning; requirement ontology; requirement representation; requirements engineering problem; sensor data;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence for Requirements Engineering (AIRE), 2014 IEEE 1st International Workshop on
Conference_Location
Karlskrona
Type
conf
DOI
10.1109/AIRE.2014.6894847
Filename
6894847
Link To Document