Modeling Human Aspects to Enhance Software Quality Management

Presenter Information

Gul Calikli, Ted Rogers School of Information Technology Management, Ryerson University, Toronto, ON, Canada.Follow
Ayse Bener, Ted Rogers School of Information and Management, Ryerson University, Toronto, ON, Canada.Follow
Bora Caglayan, Department of Computer Engineering, Bogazici University, Istanbul, Turkey.Follow
Ayse Tosun Misirli, Department of Information Processing Sciences, Oulu University, Oulu, Finland.Follow

Start Date

14-12-2012 12:00 AM

Description

The aim of the research is to explore the impact of cognitive biases and social networks in testing and developing software. The research will aim to address two critical areas: i) to predict defective parts of the software, ii) to determine the right person to test the defective parts of the software. Every phase in software development requires analytical problem solving skills. Moreover, using everyday life heuristics instead of laws of logic and mathematics may affect quality of the software product in an undesirable manner. The proposed research aims to understand how mind works in solving problems. People also work in teams in software development that their social interactions in solving a problem may affect the quality of the product. The proposed research also aims to model the social network structure of testers and developers to understand their impact on software quality and defect prediction performance.

Recommended Citation

Calikli, Gul; Bener, Ayse; Caglayan, Bora; and Misirli, Ayse Tosun, "Modeling Human Aspects to Enhance Software Quality Management" (2012). ICIS 2012 Proceedings. 85.
https://aisel.aisnet.org/icis2012/proceedings/ResearchInProgress/85