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dc.contributor.authorKumar, L.
dc.contributor.authorKrishna, Aneesh
dc.contributor.authorRath, S.
dc.date.accessioned2017-06-23T03:01:27Z
dc.date.available2017-06-23T03:01:27Z
dc.date.created2017-06-19T03:39:34Z
dc.date.issued2016
dc.identifier.citationKumar, L. and Krishna, A. and Rath, S. 2016. The impact of feature selection on maintainability prediction of service-oriented applications. Service Oriented Computing and Applications. 11 (2): pp. 137-161.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/53802
dc.identifier.doi10.1007/s11761-016-0202-9
dc.description.abstract

Service-oriented development methodologies are very often considered for distributed system development. The quality of service-oriented computing can be best assessed by the use of software metrics that are considered to design the prediction model. Feature selection technique is a process of selecting a subset of features that may lead to build improved prediction models. Feature selection techniques can be broadly classified into two subclasses such as feature ranking and feature subset selection technique. In this study, eight different types of feature ranking and four different types of feature subset selection techniques have been considered for improving the performance of a prediction model focusing on maintainability criterion. The performance of these feature selection techniques is evaluated using support vector machine with different types of kernels over a case study, i.e., five different versions of eBay Web service. The performances are measured using accuracy and F-measure value. The results show that maintainability of the service-oriented computing paradigm can be predicted by using object-oriented metrics. The results also show that it is possible to find a small subset of object-oriented metrics which helps to predict maintainability with higher accuracy and also reduces the value of misclassification errors.

dc.publisherSpringerLink
dc.titleThe impact of feature selection on maintainability prediction of service-oriented applications
dc.typeJournal Article
dcterms.source.volume11
dcterms.source.startPage137
dcterms.source.endPage161
dcterms.source.issn1863-2386
dcterms.source.titleService Oriented Computing and Applications
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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