TY - GEN

T1 - Towards Automatic Capturing of Traceability Links by Combining Eye Tracking and Interaction Data

AU - Ahrens, M.

PY - 2020

Y1 - 2020

N2 - Despite its numerous scientifically cited benefits, traceability is still rarely established in industrial settings. Years of research in the area have brought several different approaches to create traceability links including Information Retrieval (IR) and Machine Learning approaches. However, their accuracy and overall traceability support is not sufficient yet to be properly applied in practice. In my research, I want to investigate the usage of eye tracking and interaction data in the field of traceability. By tracking how software engineers interact with documents, where they focus on and recording gaze links between those documents, an algorithm is designed to obtain trace links between artifacts from these data. Eye tracking and interaction data have the advantage that they can be recorded in an automatic, non-intrusive way without requiring manual effort. They give detailed insight about where people focus on when working on tasks. However, software support of eye tracking is still limited, especially in the context of dynamic content such as switching between, scrolling or editing documents. Therefore, one essential step of my research is to provide software support for recording eye tracking data in dynamic document environments. By combining eye tracking data with additionally recorded metadata such as interactions, this eye tracking framework shall enable the automatic capturing of gaze links and gaze durations during software engineering tasks. The approach of using eye tracking in the context of traceability will be evaluated in several usage scenarios such as requirements coverage assessment.

AB - Despite its numerous scientifically cited benefits, traceability is still rarely established in industrial settings. Years of research in the area have brought several different approaches to create traceability links including Information Retrieval (IR) and Machine Learning approaches. However, their accuracy and overall traceability support is not sufficient yet to be properly applied in practice. In my research, I want to investigate the usage of eye tracking and interaction data in the field of traceability. By tracking how software engineers interact with documents, where they focus on and recording gaze links between those documents, an algorithm is designed to obtain trace links between artifacts from these data. Eye tracking and interaction data have the advantage that they can be recorded in an automatic, non-intrusive way without requiring manual effort. They give detailed insight about where people focus on when working on tasks. However, software support of eye tracking is still limited, especially in the context of dynamic content such as switching between, scrolling or editing documents. Therefore, one essential step of my research is to provide software support for recording eye tracking data in dynamic document environments. By combining eye tracking data with additionally recorded metadata such as interactions, this eye tracking framework shall enable the automatic capturing of gaze links and gaze durations during software engineering tasks. The approach of using eye tracking in the context of traceability will be evaluated in several usage scenarios such as requirements coverage assessment.

KW - Gaze tracking

KW - Task analysis

KW - Software

KW - Tools

KW - Stakeholders

KW - Switches

KW - Data visualization

KW - software traceability

KW - eye tracking

KW - interaction data

KW - trace links

UR - http://www.scopus.com/inward/record.url?scp=85093931100&partnerID=8YFLogxK

U2 - 10.1109/re48521.2020.00064

DO - 10.1109/re48521.2020.00064

M3 - Conference contribution

SN - 978-1-7281-7439-6

T3 - Proceedings of the IEEE International Conference on Requirements Engineering

SP - 434

EP - 439

BT - 2020 IEEE 28th International Requirements Engineering Conference (RE)

A2 - Breaux, Travis

A2 - Zisman, Andrea

A2 - Fricker, Samuel

A2 - Glinz, Martin

ER -