uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
A Methodology for Applying Concolic Testing
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Concolic testing is a technique that combines concrete and symbolic execution in order to generate inputs that explore different execution paths leading to better testing coverage. Concolic testing tools can find runtime errors fully automatically using available type specifications. The type specifications in a function define the type of each input. However, most specification languages are never expressive enough, which can lead to runtime errors caused by malformed inputs (i.e. irrelevant errors). Moreover, logic errors causing a program to operate incorrectly without crashing cannot be reported automatically. A universal methodology for any programming language is proposed. Preconditions force the concolic execution to generate well formed inputs before testing a function. On the other hand, postconditions lead to a runtime error when a program operates incorrectly, helping to find logic errors. The results obtained using the concolic testing tool CutEr, in the functional programming language Erlang, show how a program is only tested using well formed inputs specially generated to try to violate the defined postconditions.

Place, publisher, year, edition, pages
2016. , 42 p.
IT, 16071
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-303772OAI: oai:DiVA.org:uu-303772DiVA: diva2:973968
Educational program
Bachelor Programme in Computer Science
Available from: 2016-09-23 Created: 2016-09-23 Last updated: 2016-09-23Bibliographically approved

Open Access in DiVA

fulltext(481 kB)19 downloads
File information
File name FULLTEXT01.pdfFile size 481 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Department of Information Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 19 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 33 hits
ReferencesLink to record
Permanent link

Direct link