Modeling human aspects to enhance software quality management

Gul Calikli, Ayse Bener, Bora Caglayan, Ayse Tosun Misirli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2012
Number of pages11
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Information Systems, ICIS 2012 - Orlando, FL, United States
Duration: 16 Dec 201219 Dec 2012

Publication series

NameInternational Conference on Information Systems, ICIS 2012


ConferenceInternational Conference on Information Systems, ICIS 2012
Country/TerritoryUnited States
CityOrlando, FL


  • Cognitive bias
  • Defect prediction
  • Social network
  • Software quality


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