An Automated Approach for Mapping Between Software Requirements and Design Items: An Industrial Case from Turkey

Selin Karagöz*, Ayşe Tosun

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Bölümbilirkişi

Özet

When a new request comes to the existing software, determining whether there will be reuse and determining where the new requests will be mapped in the existing design are important problems. Since this process is done manually by developers in the context we work, it depends on experience and domain knowledge, besides it is an error-prone and time-consuming process due to the human factor. The main purpose of this study is to correctly predict which new requests in the System Design Document (SDD) match which feature set in the existing software’s Software Requirement Specification (SRS) document. We consider the feature mapping problem between SDD items and SRS requirements as a multi-label multi-class classification problem. Zemberek, a Turkish natural language processing library, is used for preprocessing and feature extraction of the SRS document of the existing software and three SDD documents of different systems to which this software will be delivered. The features extracted from the SRS document are categorized under a certain number of feature topics using the LDA algorithm. The FastText algorithm and AdaBoost-based classifier ICSIBoost are used to decide which of the topics from the SRS document represents a feature in the SDD document, and the predictions are compared with manually determined topics by experts. ICSIBoost achieves quite 67% to 90% precision in topic predictions, whereas the FastText algorithm does not meet our expectations for small and imbalanced data.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıLecture Notes on Data Engineering and Communications Technologies
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar175-186
Sayfa sayısı12
DOI'lar
Yayın durumuYayınlandı - 2022

Yayın serisi

AdıLecture Notes on Data Engineering and Communications Technologies
Hacim143
ISSN (Basılı)2367-4512
ISSN (Elektronik)2367-4520

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Parmak izi

An Automated Approach for Mapping Between Software Requirements and Design Items: An Industrial Case from Turkey' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap