Indexing Metadata

1 Title of the Article Fuzzy Logic Support for Requirements Engineering
2 Author's name Ahmet Egesoy: Assistant Professor, Department of Computer Engineering, Ege University, İzmir, Turkey (ahmet.egesoy@ege.edu.tr)
3 Author's name Aylin Güzel
4 Subject Computer Science and Engineering
5 Keyword(s) Artificial Intelligence, Fuzzy Logic, Requirement Engineering, Software Engineering
6 Abstract

As software projects are getting more and more complicated, the greatest risks in software engineering are most probably emanating from the limitations of an inexperienced developer in imagining the boundaries of an abstract artefact that does not even exist yet. Requirement engineering is extremely important in a software development project, yet inherently difficult. Requirements can be redundant, optional, overlapping and even contradictory. They come from different sources and often are represented in an informal way. Requirements also are followed throughout the development process and can be partially met in different degrees in various stages of the process. In this work we advocate a fuzzy logical model for following the requirements and their fulfillment. We also present the logical design of a requirements knowledge base manager that we are building in order to facilitate requirement-aware rapid development tools.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-9 Issue-2
9 Publication Date March 2021
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Fuzzy-Logic-Support-for-Requirements-Engineering&year=2021&vol=9&primary=QVJULTU2Mw==
13 Digital Object Identifier(DOI) 10.21276/ijircst.2021.9.2.3   https://doi.org/10.21276/ijircst.2021.9.2.3
14 Language English
15 Page No 14-21

Indexed by

Crossref logo