Complementary Classification Techniques based Personalized Software Requirements Retrieval with Semantic Ontology and User Feedback

Author

Zhang, Tao ; Lee, Byungjeong

Author_Institution

Sch. of Comput. Sci., Univ. of Seoul, Seoul, South Korea

fYear

2010

fDate

June 29 2010-July 1 2010

Firstpage

1358

Lastpage

1363

Abstract

Requirements engineering is an important research area in software engineering. Recent years, with the exponentially growing amount of software developed, it is necessary to elicit appropriate software requirements at an early phase of software development. We provide the complementary classification techniques that combine folksonomy, keyword and facet-based retrieval methods to retrieve software requirements related to users´ interests. We add semantic ontology and users´ feedback to obtain better software requirements that satisfy users´ preferences to enhance software requirements retrieval performance. Finally, we demonstrate the feasibility of the method we proposed in software requirements retrieval using an experiment.

Keywords

formal specification; information retrieval; ontologies (artificial intelligence); complementary classification technique; facet-based retrieval; folksonomy-based retrieval; keyword-based retrieval; personalized software requirement retrieval; requirements engineering; semantic ontology; user feedback; Computer architecture; Databases; Dictionaries; Ontologies; Semantics; Software; Software engineering; feedback; folksonomy; semantic ontology; software requirement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on

Conference_Location

Bradford

Print_ISBN

978-1-4244-7547-6

Type

conf

DOI

10.1109/CIT.2010.243

Filename

5577850