Pendekatan Kesamaan Semantik dan Struktur dalam Kasus Penggunaan untuk Mendapatkan Kembali Spesifikasi Kebutuhan Perangkat Lunak

Abstract

In software industry, there are tremendous number of software requirements documents in effect of large scale of software development. These collections of software requirements documents can be reused in order to cut off the development time and reduce the cost. There is a need to retrieve one or more of those documents which is suitable with the user’s specifications for the new software development. So, if we can retrieve many similar software requirements to a new project, development process will be less costly and less error because the retrieved software requirements can be tailored to the new case with fewer modifications. This paper presents a methodology to retrieve software requirements documents using structured base of use case description semantic similarity computation. Each element of query use case description will be calculated with the use case description in the collections or repository. The semantic similarity score is used to rank the use case in the collections and to retrieve the requirement documents to be used in the new software project development. We introduce a semantic similarity computation approach as a substitute of term frequency and keyword approach. We validate the usefulness of our method through the experiment using 20 cases. Three experiment scenarios are presented to investigate the ideal threshold value, the retrieval result differences with previous approach and to find out the effect of various combinations of structural query to the retrieval result.

Keywords

• Use Case Retrieval
• Semantic Similarity
• Information Retrieval