A discussion of multiple learning effects and unconscious behavior in the software debugging process with variable potential errors and change-points

Kuei Chen Chiu, Shulan Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cognitive learning has been applied in various fields for the purpose of discussing human behavior. In this study, we employ learning functions in software reliability growth models (SRGMs) and consider the conscious/unconscious behavior and multiple learning effects in the models simultaneously to discuss the influence of learning effects on work performance in software debugging projects and also the influence of variations in the environment on learning effects. The models are based on Chiu's models [2] and employed a sine function [15] to describe the variable potential errors and to judge change-points in the software debugging process. The results showed almost perfect fitting for the models to the actual data sets, which means the staff engaged in software debugging projects have not only conscious learning effects but also unconscious behavior that can describe variable potential errors and explain the change-points in a software debugging process. This paper also examines the effectiveness of the proposed models and discuss when and what kinds of learning effects occur and how these influence software reliability those help managers to master the software debugging process, the performance of the staff involved in this process, the reliability of the software system, and in the employment of suitable methods to manage organizations.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1656-1660
Number of pages5
ISBN (Electronic)9781479909865
DOIs
Publication statusPublished - 2014 Nov 18
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 2013 Dec 102013 Dec 13

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Other

Other2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
CountryThailand
CityBangkok
Period13-12-1013-12-13

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'A discussion of multiple learning effects and unconscious behavior in the software debugging process with variable potential errors and change-points'. Together they form a unique fingerprint.

Cite this