Error Abstraction Accuracy and Fixation During Error-Based Requirements Inspections

Authors

Vaibhav Anu, Montclair State UniversityFollow
Gursimran Walia, North Dakota State UniversityFollow
Wenhua Hu, University of Alabama
Jeffrey C. Carver, University of AlabamaFollow
Gary Bradshaw, Mississippi State UniversityFollow

Document Type

Conference Proceeding

Publication Date

12-16-2016

Abstract

Software inspections are widely used as a requirements verification technique. Our research uses the tried-and-tested perspective of cognitive failures (i.e., human errors) to improve the effectiveness of fault detection during requirements inspections. We have previously shown that inspection effectiveness can be significantly improved by augmenting the current fault-based inspection technique with the proposed Error Abstraction and Inspection (supported by a Human Error Taxonomy). This paper investigates the impact of an inspector's ability to accurately abstract human errors on their fault-detection effectiveness.

DOI

10.1109/ISSREW.2016.39

Montclair State University Digital Commons Citation

Anu, Vaibhav; Walia, Gursimran; Hu, Wenhua; Carver, Jeffrey C.; and Bradshaw, Gary, "Error Abstraction Accuracy and Fixation During Error-Based Requirements Inspections" (2016). Department of Computer Science Faculty Scholarship and Creative Works. 269.
https://digitalcommons.montclair.edu/compusci-facpubs/269