TY - GEN
T1 - Comparative studies of several methods for building simple traceability and identifying the quality aspects of requirements in SRS documents
AU - Asyrofi, Rakha
AU - Hidayat, Taufik
AU - Rochimah, Siti
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8/26
Y1 - 2020/8/26
N2 - In the software development process, the requirements traceability in the Software Requirements Specification (SRS) is an important aspect to trace fulfillment of requirement. Generally, the implementation of traceability is done manually, and it requires considerable time and money. Many methods have been proposed to identify traceability automatically, therefore, we conducted a comparative study of several existing methods to find out which method is better. In this study, we made a comparison of 4 methods, namely the Information Retrieval (IR), Ontology, Combination of Information Retrieval with Topic Modeling (LSA or LDA) methods. From the comparison of those methods, we found that the IR method gets the highest accuracy score, but the precision, recall and fl-score are unequal between dataset 1 and dataset 2, while other methods (ontology, IR+LSA, IR+LDA) have more stable metrics. The average score of precision from highest to lowest consecutively is in the IR + LDA method, Ontology, then IR+LSA.
AB - In the software development process, the requirements traceability in the Software Requirements Specification (SRS) is an important aspect to trace fulfillment of requirement. Generally, the implementation of traceability is done manually, and it requires considerable time and money. Many methods have been proposed to identify traceability automatically, therefore, we conducted a comparative study of several existing methods to find out which method is better. In this study, we made a comparison of 4 methods, namely the Information Retrieval (IR), Ontology, Combination of Information Retrieval with Topic Modeling (LSA or LDA) methods. From the comparison of those methods, we found that the IR method gets the highest accuracy score, but the precision, recall and fl-score are unequal between dataset 1 and dataset 2, while other methods (ontology, IR+LSA, IR+LDA) have more stable metrics. The average score of precision from highest to lowest consecutively is in the IR + LDA method, Ontology, then IR+LSA.
KW - Information Retrieval
KW - Ontology
KW - Software Requirement Specification
KW - Topic Modeling
KW - Traceability
UR - http://www.scopus.com/inward/record.url?scp=85099580514&partnerID=8YFLogxK
U2 - 10.1109/EECCIS49483.2020.9263479
DO - 10.1109/EECCIS49483.2020.9263479
M3 - Conference contribution
AN - SCOPUS:85099580514
T3 - EECCIS 2020 - 2020 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar
SP - 243
EP - 247
BT - EECCIS 2020 - 2020 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Electrical Power, Electronics, Communications, Controls, and Informatics Seminar, EECCIS 2020
Y2 - 26 August 2020 through 28 August 2020
ER -