A Tool For Feature-Requirement Traceability Using Requirement Canvas and Encapsulation

System traceability from requirements to implementation is desirable, often mandatory, for complex and safety-critical system development. However, maintaining traceability documentation can be extremely taxing and tedious through iterative and incremental development life cycles. The problem is further exacerbated when product variability is introduced in the system development. Feature modelling and product line engineering are becoming increasingly common in safety-critical domains such as the automotive domain when manufacturers must consider maintaining documentation for multiple variations of a single vehicle. This problem is made even more complex by the yearly iterations they have on their vehicles. Thus, we introduce CyclicL, a tool for developing, managing, and modelling feature-requirement traceability through iterative and incremental development strategies. CyclicL is designed to facilitate traceability between features and requirements through various product iterations, and multiple incremental feature and requirement changes.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3652620.3687816
Primary Topic
Advanced Software Engineering Methodologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Tool For Feature-Requirement Traceability Using Requirement Canvas and Encapsulation

Richard F. Paige, Alan Wassyng, Sébastien Mosser, Thomas Chiang
Advanced Software Engineering Methodologies
article

A Tool For Feature-Requirement Traceability Using Requirement Canvas and Encapsulation

Richard F. Paige, Alan Wassyng, Sébastien Mosser, Thomas Chiang
article en

Abstract

System traceability from requirements to implementation is desirable, often mandatory, for complex and safety-critical system development. However, maintaining traceability documentation can be extremely taxing and tedious through iterative and incremental development life cycles. The problem is further exacerbated when product variability is introduced in the system development. Feature modelling and product line engineering are becoming increasingly common in safety-critical domains such as the automotive domain when manufacturers must consider maintaining documentation for multiple variations of a single vehicle. This problem is made even more complex by the yearly iterations they have on their vehicles. Thus, we introduce CyclicL, a tool for developing, managing, and modelling feature-requirement traceability through iterative and incremental development strategies. CyclicL is designed to facilitate traceability between features and requirements through various product iterations, and multiple incremental feature and requirement changes.

McMaster University (CA)
Openalex Percentile: Top 83%
Advanced Software Engineering Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Tool For Feature-Requirement Traceability Using Requirement Canvas and Encapsulation — Richard F. Paige, Alan Wassyng, et al. · (2024) | TGRS Research Map | TGRS