Improving software comprehension process by Adoption of Cognitive Theories in large-scale complex software maintenance - An empirical research of cognitive theories in software maintenance

dc.contributor.author	Chen, Peter
dc.contributor.author	Du, Xiaolei
dc.contributor.department	Göteborgs universitet/Institutionen för data- och informationsteknik	swe
dc.contributor.department	University of Gothenburg/Department of Computer Science and Engineering	eng
dc.date.accessioned	2012-08-06T06:28:50Z
dc.date.available	2012-08-06T06:28:50Z
dc.date.issued	2012-08-06
dc.description.abstract	During the software maintenance process software comprehension is a time-consuming procedure. Fortunately, there are existing cognitive theories designed to improve software comprehension process. In this article, we intend to review six theories and perform an industrial case study in maintenance of a complex system. In order to find out whether to adopt cognitive theories in a specific maintenance task to improve the process of understanding the software or not, all six cognitive theories will be evaluated theoretically and one of them will be adopted in an industrial case study.	sv
dc.identifier.uri	http://hdl.handle.net/2077/30044
dc.language.iso	eng	sv
dc.setspec.uppsok	Technology
dc.subject	software comprehension	sv
dc.subject	program understanding	sv
dc.subject	cognitive theory	sv
dc.subject	cognitive model	sv
dc.title	Improving software comprehension process by Adoption of Cognitive Theories in large-scale complex software maintenance - An empirical research of cognitive theories in software maintenance	sv
dc.type	text
dc.type.degree	Student essay
dc.type.uppsok	M2

Files

Now showing 1 - 1 of 1

Now showing 1 - 1 of 1