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;
Conference_Titel :
Artificial Intelligence for Requirements Engineering (AIRE), 2014 IEEE 1st International Workshop on
Conference_Location :
Karlskrona
DOI :
10.1109/AIRE.2014.6894847
