Fuzzy Logic Support for Requirements Engineering

Authors

  • Ahmet Egesoy Assistant Professor, Department of Computer Engineering, Ege University, İzmir, Turkey Author
  • Aylin Güzel PhD Student, Department of Computer Engineering, Ege University, İzmir, Turkey Author

Keywords:

Artificial Intelligence, Fuzzy Logic, Requirement Engineering, Software Engineering

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. 

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Published

2021-03-30

Issue

Vol. 9 No. 2 (2021): International Journal of Innovative Research in Computer Science and Technology (Mar) 2021

Section

Articles

How to Cite

Fuzzy Logic Support for Requirements Engineering . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(2), 14–21. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11561