NDLI: Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome

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Using Eye Tracking to Investigate Reading Patterns and Learning Styles of Software Requirement Inspectors to Enhance Inspection Team Outcome

Content Provider	ACM Digital Library
Author	Padmanabhan, Ganesh Walia, Gursimran McCourt, Mark Goswami, Anurag
Abstract	Background -- Inspecting requirements and design artifacts to find faults saves rework effort significantly. While inspections are effective, their overall team performance rely on inspectors' ability to detect and report faults. Our previous research showed that individual inspectors have varying LSs (i.e., they vary in their ability to process information recorded in requirements document). To extend the results of our previous LS research, this paper utilizes the concept of eye tracking (to record eye movements of inspectors) along with their LSs to detect reading patterns of inspectors during requirements inspections. Aim -- The objective of this research is to analyze the reading trends of effective and efficient inspectors using eye movement and LS data of individual inspectors and virtual inspection teams. Method -- The current research uses data (LS, eye tracking, and inspection) from thirteen inspectors to find its impact on inspection effectiveness and efficiency. Results -- Results from this study show that, inspectors who detect more faults during inspection, focus significantly more at the fault region to find and report faults as opposed to comprehending requirements information. Results also showed Inspection teams with diverse inspectors outperform similar teams and spend more time in comprehending information at the fault region. Additionally, results showed that inspectors with SEQ LS significantly tends to focus more at fault locations and are preferred for inspection. Conclusion -- These results can aid the selection of inspectors during the inspection process thus improving software quality.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450344272
DOI	10.1145/2961111.2962598
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Software inspection Learning style Eye tracking Requirements
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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