Automated Recovery and Visualization of Test-To Traceability (tct) Links: an Evaluation
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Ieee-inst Electrical Electronics Engineers inc
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
10
OpenAIRE Views
14
Publicly Funded
No
Abstract
In the software development process, traceability links between unit tests and code are not explicitly maintained, and dependencies in most cases are manually identified. As a result, a large amount of effort and time is required during the comprehension process to establish the links between these artifacts. Although there are several methods that can infer such links based on different phenomenons, these methods usually produce different set of traceability links. This work expands upon previous traceability link recovery and visualization studies by implementing a combination of traceability recovery methods that automatically retrieve the links, and visualizing them to help developers to overview the links inferred by various recovery techniques, and also to select the right relations for analyses. The results of the usability study show that the visualization model presented herein can effectively support browsing, comprehension, and maintenance of Test-to Code Traceability (TCT) links in a system with enhanced efficiency, as well as visualization of TCT links from multiple sources is better than a visualization of single source of traceability links.
Description
Gergely, Tamás/0000-0001-7504-3580; Fernandez-Sanz, Luis/0000-0003-0778-0073; Misra, Sanjay/0000-0002-3556-9331; Aljawabrah, Nadera/0000-0002-1775-4576
Keywords
Visualization, Software, Tools, Hypertext systems, Task analysis, Maintenance engineering, Data visualization, Software development, software comprehension, test case, traceability links, visualization, FOS: Computer and information sciences, Code Clone Detection, Computer Networks and Communications, Requirements traceability, Usability, test case, Set (abstract data type), Unit testing, Program comprehension, software comprehension, traceability links, Machine learning, Source code, Data mining, visualization, Visualization, Code (set theory), Source Code Analysis, Software engineering, Human–computer interaction, Data visualization, Traceability, Software development, Computer science, TK1-9971, Computer Science Applications, Process (computing), Programming language, Requirement, Log Analysis and System Performance Diagnosis, Computer Science, Physical Sciences, Innovation and Collaboration in Open Source Community, Software system, Requirements Traceability, Electrical engineering. Electronics. Nuclear engineering, Test case, Regression analysis, Software, Empirical Studies in Software Engineering, Information Systems
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
7
Source
IEEE Access
Volume
9
Issue
Start Page
40111
End Page
40123
PlumX Metrics
Citations
CrossRef : 1
Scopus : 8
Captures
Mendeley Readers : 27
SCOPUS™ Citations
8
checked on Jan 27, 2026
Web of Science™ Citations
6
checked on Jan 27, 2026
Page Views
1
checked on Jan 27, 2026
Google Scholar™

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2.32904108
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