DocumentCode
3127584
Title
Evaluating Software Inspection Cognition Levels Using Bloom´s Taxonomy
Author
McMeekin, David A. ; Von Konsky, Brian R. ; Chang, Elizabeth ; Cooper, David J A
Author_Institution
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Bentley, WA
fYear
2009
fDate
17-20 Feb. 2009
Firstpage
232
Lastpage
239
Abstract
This paper reports on results from a pilot study that used Bloompsilas taxonomy to observe cognition levels during software inspections conducted by undergraduate computer science and software engineering students. Cognition levels associated with three different code inspection techniques were investigated. These were the ad hoc, abstraction driven, and checklist-based reading strategies. Higher cognition levels were observed when using inspection techniques that utilise a more structured reading process. This result highlights the importance of introducing novice programmers to structured code reading strategies. Findings suggest that teaching different software inspection techniques throughout software courses, beginning with structured techniques, is an excellent way to build a studentpsilas critical software reading and analysis skills.
Keywords
computer aided instruction; computer science education; inference mechanisms; inspection; taxation; Bloom taxonomy; checklist-based reading strategy; code inspection techniques; software engineering students; software inspection cognition levels; structured code reading strategies; undergraduate computer science; Application software; Cognition; Ecosystems; Inspection; Natural languages; Open source software; Software engineering; Software maintenance; Taxonomy; Writing; Bloom´s taxonoomy; code inspections; cognition levels; program comprehension; reading techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Education and Training, 2009. CSEET '09. 22nd Conference on
Conference_Location
Hyderabad, Andhra Pradesh
ISSN
1093-0175
Print_ISBN
978-1-4244-3431-2
Electronic_ISBN
1093-0175
Type
conf
DOI
10.1109/CSEET.2009.15
Filename
4812703
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