Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/13731
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Andreou, Andreas S. | - |
dc.contributor.author | Yiasemis, Pantelis Stylianos | - |
dc.date.accessioned | 2019-05-23T08:49:54Z | - |
dc.date.available | 2019-05-23T08:49:54Z | - |
dc.date.issued | 2013-10-24 | - |
dc.identifier.citation | Enterprise Information Systems. ICEIS 2012 | en_US |
dc.identifier.isbn | 978-3-642-40654-6 | - |
dc.description | Enterprise Information Systems. ICEIS 2012. Lecture Notes in Business Information Processing, vol 141. Springer, Berlin, Heidelberg | en_US |
dc.description.abstract | Software testing is an important phase of software development that helps eliminating the possibility of project failure. As software systems get more complicated and larger in size, testing needs to constantly evolve and provide more ‘‘sophisticated’’ techniques, like automatic, self-adaptive mutation testing, targeting at improving the efficiency and effectiveness of the testing phase by handling the increased complexity that leads to increased demands in time and effort. Mutation testing is the procedure of applying a series of operators on correctly functioning programs so as to induce ‘‘faults’’ that correspond to real, common programming errors and then assess the ability of a set of test cases to reveal those errors. We introduce a novel approach for identifying and correcting faults in Java source code with the use of code slicing, mutation testing and Genetic Algorithms. Three different categories of experiments are used to assess the effectiveness of the proposed solution, demonstrating its applicability on a variety of programs and type of errors. The results are quite encouraging suggesting that the approach is able to dynamically detect faults and propose the appropriate corrections. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © Springer Nature | en_US |
dc.subject | Mutation testing | en_US |
dc.subject | Fault localization and correction | en_US |
dc.subject | Genetic algorithms | en_US |
dc.title | Locating and correcting software faults in executable code slices via evolutionary mutation testing | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on Enterprise Information Systems | en_US |
dc.identifier.doi | 10.1007/978-3-642-40654-6_13 | en_US |
dc.identifier.scopus | 2-s2.0-85019986386 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85019986386 | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.relation.volume | 141 | en_US |
cut.common.academicyear | 2013-2014 | en_US |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairetype | conferenceObject | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0001-7104-2097 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
SCOPUSTM
Citations
50
1
checked on 14 Μαρ 2024
Page view(s) 50
308
Last Week
2
2
Last month
3
3
checked on 5 Οκτ 2024
Google ScholarTM
Check
Altmetric
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα