In recent years, the quest for finding practical software traceability approaches has intensified. Several existing approaches have not utilized every level of information in creating trace link pairs, so their accuracy is low. Since software artifacts are term-heavy, semantics becomes an essential feature. This study proposes a comprehensive concept-based Property Listing Task (PLT) encompassing semantic, structural, and physical features for traceability. PLT is a novel concept in software traceability in which it extracts properties from software artifacts. PLTs from source and target software artifacts are used as a guide in finding the trace link. Based on our case study experimentation on Coffee Maker Project, the result indicates that the proposed Property Listing Task can generate an accurate trace link.

Original languageEnglish
Title of host publicationIES 2022 - 2022 International Electronics Symposium
Subtitle of host publicationEnergy Development for Climate Change Solution and Clean Energy Transition, Proceeding
EditorsAndhik Ampuh Yunanto, Yanuar Risah Prayogi, Putu Agus Mahadi Putra, Hendhi Hermawan, Nailussa'ada Nailussa'ada, Maretha Ruswiansari, Mohamad Ridwan, Farida Gamar, Afifah Dwi Ramadhani, Weny Mistarika Rahmawati, Muhammad Rizani Rusli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665489713
Publication statusPublished - 2022
Event24th International Electronics Symposium, IES 2022 - Surabaya, Indonesia
Duration: 9 Aug 202211 Aug 2022

Publication series

NameIES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding


Conference24th International Electronics Symposium, IES 2022


  • property listing task
  • semantic
  • software
  • traceability


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